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Academic literature on the topic 'Microgrid model'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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Journal articles on the topic "Microgrid model"

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Lin, Hong, and Yue Ma. "Optimization of multi-integrated energy microgrid scheduling under carbon trading mechanism." Journal of Physics: Conference Series 2788, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1742-6596/2788/1/012015.

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Abstract Realizing the power transaction and benefit distribution among multi-integrated energy microgrids with different interests in the system, a multi-microgrid cooperative operation optimization scheduling method under a carbon-trading mechanism is proposed. Considering the microgrid’s electric energy interaction, a model of multi-microgrid cooperation is established. The multi-microgrid cooperative game model is equivalently transformed into two sub-problems, multi-microgrid cooperative operation cost minimization and internal power transaction bargaining, and to solve the two sub-problems successively. The simulation results show that the method is valid.

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Albaker, Abdullah, Mansoor Alturki, Rabeh Abbassi, and Khalid Alqunun. "Zonal-Based Optimal Microgrids Identification." Energies 15, no. 7 (2022): 2446. http://dx.doi.org/10.3390/en15072446.

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Even though many studies have been deployed to determine the optimal planning and operation of microgrids, limited research was discussed to determine the optimal microgrids’ geographical boundaries. This paper proposes a zonal-based optimal microgrid identification model aiming at identifying the optimal microgrids topology in the current distribution systems through zoning the network into several clusters. In addition, the proposed model was developed as a mixed-integer linear programming (MILP) problem that identifies the optimal capacity and location of installing distributed energy resources (DERs), including but not limited to renewable energy resources and Battery Energy Storage Systems (BESS), within the determined microgrid’s boundaries. Moreover, it investigates the impact of incorporating the BESS in boosting the DERs’ penetration on the optimal centralized microgrid. Numerical simulations on the IEEE-33 bus test system demonstrate the features and effectiveness of the proposed model on identifying the optimal microgrid geographical boundaries on current distribution grids as well as its capability on defining the optimal sizes and locations of installing DERs within the microgrid’s zonal area.

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Kull, Tobias, Bernd Zeilmann, and Gerhard Fischerauer. "Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids." Applied Sciences 11, no. 22 (2021): 10602. http://dx.doi.org/10.3390/app112210602.

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Economic model predictive control in microgrids combined with dynamic pricing of grid electricity is a promising technique to make the power system more flexible. However, to date, each individual microgrid requires major efforts for the mathematical modelling, the implementation on embedded devices, and the qualification of the control. In this work, a field-suitable generalised linear microgrid model is presented. This scalable model is instantiated on field-typical hardware and in a modular way, so that a class of various microgrids can be easily controlled. This significantly reduces the modelling effort during commissioning, decreases the necessary qualification of commissioning staff, and allows for the easy integration of additional microgrid devices during operation. An exemplary model, derived from an existing production facility microgrid, is instantiated, and the characteristics of the results are analysed.

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Aditya, Sharma, and K. Palwalia D. "Small Signal Modelling and Stability Analysis of a Grid Connected Inverted Based Microgrid." Indian Journal of Science and Technology 17, no. 19 (2024): 2024–37. https://doi.org/10.17485/IJST/v17i19.379.

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Abstract <strong>Objectives:</strong> This work focuses on the stability analysis of grid connected microgrids. It considers the impact of load disturbance and grid voltage change on voltage and current levels, as well as reactive and active power responses, is analysed. <strong>Methods:</strong> A comprehensive small-signal state-space model is developed for an inverter-based microgrid, incorporating submodules of inverters, phase-locked loops (PLLs), and LCL filters. The model is linearized around a stable operating point, and eigenvalue analysis is performed and validated through MATLAB/Simulink simulations. A current controller operating in the d-q frame is proposed to enhance stable power conversion and maintain microgrid stability. <strong>Findings:</strong> The proposed model and control strategy demonstrate the microgrid's ability to maintain transient voltage stability under severe dynamic conditions. During a 10% grid voltage fluctuation, the microgrid exhibits stable active and reactive power responses, with currents and voltages at the point of common coupling stabilizing within 0.2 seconds. Furthermore, when a 25 kVA active load is disconnected, the microgrid effectively manages the power transition, maintaining stable operation with minimal deviations in key parameters. The current controller simplifies AC current control, integrating active power management from solar input, DC-link voltage stability, and reactive power control.<strong> Novelty:</strong> The novelty lies in the comprehensive analysis of transient voltage stability in grid-connected microgrids under grid voltage fluctuations and load disturbances, areas that have received limited attention in previous research. By developing a detailed small-signal state-space model incorporating PLL and LCL filter dynamics and proposing a robust control strategy with the current controller, this study offers new insights into enhancing the resilience and reliability of grid-connected microgrids during transient events. <strong>Keywords:</strong> Microgrid, Small Signal Stability, Voltage Source Inverter, State Space model, Eigen Values

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Huang, Jing, and Kui Wu. "Energy Optimal Scheduling Method of Microgrid with Wind and Solar Storage Based on Demand Response." Journal of Physics: Conference Series 2503, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1742-6596/2503/1/012017.

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Abstract In the operation of a microgrid with wind and light storage, energy dispatching will directly affect its operating cost, which is a core technology of microgrid operation. This paper designs an energy optimization method for a microgrid with wind and solar storage based on demand response to realizing more scientific micro-power energy scheduling. Considering the wind-solar storage microgrid’s lowest demand response cost and other comprehensive costs, an energy-optimal scheduling model of the wind-solar storage microgrid is constructed. The model sets the constraints of energy storage devices and ties line transmission power and power balance. A model-solving algorithm based on an improved particle swarm optimization algorithm is designed to realize the optimal energy scheduling of wind and solar storage microgrids. The experimental results show that the cost of microgrid operation has decreased in winter and summer after the optimal scheduling is implemented using the design method, and an excellent economic operation effect has been achieved.

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Zhao, Yuhao, Sen Yang, Songlin Liu, Shouming Zhang, and Zhenyu Zhong. "Optimal Economic Research of Microgrids Based on Multi-Strategy Integrated Sparrow Search Algorithm under Carbon Emission Constraints." Symmetry 16, no. 4 (2024): 388. http://dx.doi.org/10.3390/sym16040388.

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In the global transition towards sustainable energy, microgrids are emerging as a core component of distributed energy systems and a pivotal technology driving this transformation. By integrating renewable energy sources such as solar and wind power, microgrids not only enhance energy efficiency and reduce reliance on traditional energy sources but also bolster grid stability and mitigate the risk of widespread power outages. Consequently, microgrids demonstrate significant potential in improving the reliability of power supply and facilitating flexibility in energy consumption. However, the operational planning and optimization of microgrids are faced with complex challenges characterized by multiple objectives and constraints, making the reduction in operational costs a focal point of research. This study fully considers an operational model for a microgrid that incorporates distributed energy resources and comprehensive costs, integrating a battery storage system to ensure three-phase balance. The microgrid model includes photovoltaic power generation, wind power generation, fuel cells, micro-gas turbines, energy storage systems, and loads. The objectives of operating and maintaining this microgrid primarily involve optimizing dispatch, energy consumption, and pollution emissions, aiming to reduce carbon emissions and minimize total costs. To achieve these goals, the study introduces a carbon emission constraint strategy and proposes an improved Multi-Strategy Integrated Sparrow Search Algorithm (MISSA). By applying the MISSA to solve the operational problems of the microgrid and comparing it with other algorithms, the results demonstrate the effectiveness of the carbon emission constraint strategy in the microgrid’s operation. Furthermore, the results prove that the MISSA can achieve the lowest comprehensive operational costs for the microgrid, confirming its effectiveness in addressing the operational challenges of the microgrid.

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Silva, Vanderlei Aparecido, Alexandre Rasi Aoki, and Germano Lambert-Torres. "Optimal Day-Ahead Scheduling of Microgrids with Battery Energy Storage System." Energies 13, no. 19 (2020): 5188. http://dx.doi.org/10.3390/en13195188.

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Optimal scheduling is a requirement for microgrids to participate in current and future energy markets. Although the number of research articles on this subject is on the rise, there is a shortage of papers containing detailed mathematical modeling of the distributed energy resources available in a microgrid. To address this gap, this paper presents in detail how to mathematically model resources such as battery energy storage systems, solar generation systems, directly controllable loads, load shedding, scheduled intentional islanding, and generation curtailment in the microgrid optimal scheduling problem. The proposed modeling also includes a methodology to determine the availability cost of battery and solar systems assets. Simulations were carried out considering energy prices from an actual time-of-use tariff, costs based on real market data, and scenarios with scheduled islanding. Simulation results provide support to validate the proposed model. Data illustrate how energy arbitrage can reduce microgrid costs in a time-of-use tariff. Results also show how the microgrid’s self-sufficiency and the storage system’s capacity can impact the microgrid’s energy bill. The findings also bring out the need to consider the scheduled islanding event in the day-ahead optimization for microgrids.

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Hamed, Ahmadi, Shafiee Qobad, and Bevrani Hassan. "Dynamic modeling and transient stability analysis of distributed generators in a microgrid system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 3692–703. https://doi.org/10.11591/ijece.v11i5.pp3692-3703.

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Increasing the penetration level of distributed generation units as well as power electronic devices adds more complexity and variability to the dynamic behaviour of the microgrids. For such systems, studying the transient modelling and stability is essential. One of the major disadvantages of most studies on microgrid modelling is their excessive attention to the steady state period and the lack of attention to microgrid performance during the transient period. In most of the research works, the behaviour of different microgrid loads has not been studied. One of the mechanisms of power systems stability studies is the application of state space modelling. This paper presents a mathematical model for connected inverters in microgrid systems with many variations of operating conditions. Nonlineal tools, phase-plane trajectory analysis, and Lyapunov method were employed to evaluate the limits of small signal models. Based on the results of the present study, applying the model allows for the analysis of the system when subjected to a severe transient disturbance such as loss of large load or generation. Studying the transient stability of microgrid systems in the standalone utility grid is useful and necessary for improving the design of the microgrid’s architecture.

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Peng, Yuxiang, Wenqian Jiang, Xingqiu Wei, Juntao Pan, Xiangyu Kong, and Zhou Yang. "Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm." Energies 16, no. 12 (2023): 4658. http://dx.doi.org/10.3390/en16124658.

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A microgrid cluster is composed of multiple interconnected microgrids and operates in the form of cluster, which can realize energy complementation between microgrids and significantly improve their renewable energy consumption capacity and system operation reliability. A microgrid optimal dispatch based on a distributed economic model predictive control algorithm is proposed in this paper. Firstly, the control task of the microgrid power generation system is defined, which is required to meet the load demand while reducing the economic loss of the system and realize dynamic economic optimization. The global objective function is designed based on the control task, and the detailed design method of the distributed economic model predictive controller is given. The control law is obtained by an iterative calculation using the Nash optimal method, which can effectively reduce the amount of data in the communication network. Finally, a microgrid group composed of four microgrids is used as an example for simulation verification. The simulation results show that the distributed economic model predictive control algorithm proposed in this paper has good economic benefits for microgrid dispatching.

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Dwi Atmaja, Tinton, Dalila Mat Said, Sevia Mahdaliza Idrus, Ahmad Fudholi, Mohd Hafiz Habibuddin, and Ahmad Rajani. "A Review of Failure Rate Models for Deterioration in Rural Microgrids: Evaluating Model Complexity and Data Extensiveness." ELEKTRIKA- Journal of Electrical Engineering 22, no. 1 (2023): 42–52. http://dx.doi.org/10.11113/elektrika.v22n1.435.

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Microgrids in rural areas is crucial for providing reliable and sustainable electricity to remote communities. The deterioration of these microgrids can result in power outages and decreased efficiency. A failure rate model is a tool used to predict and mitigate the risk of deterioration. This study aims to provide a comprehensive overview of various failure rate models for deterioration in rural microgrid systems, with a focus on evaluating the model complexity and data extensiveness. A total of fourteen failure rate models were analyzed based on their complexity and data requirements. Complexity was evaluated in four levels, ranging from simple to expert. Data extensiveness was evaluated in four levels, ranging from basic to expert. The results show that the complexity and extensiveness of the models vary significantly, with some models being more appropriate for certain types of microgrid systems than others. The study also highlights the importance of considering the complexity and extensiveness of a model when selecting it for a particular microgrid system. This study provides valuable insights for policymakers, microgrid engineers, and microgrid operators in selecting the most appropriate failure rate model for their rural microgrid systems. The findings emphasize the need to consider the complexity and extensiveness of the model to ensure its effectiveness and efficiency in predicting and mitigating the risk of deterioration.

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Dissertations / Theses on the topic "Microgrid model"

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Carbone, Marc A. "HIERARCHICAL DECENTRALIZED CONTROL TECHNIQUES OF A MODEL DC MICROGRID." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1464259866.

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Omara, Ahmed Mohamed Elsayed. "Predictive Operational Strategies for Smart Microgrid Networks." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40101.

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There have been significant advances in communication technologies over the last decade, such as cellular networks, Wi-Fi, and optical communication. Not only does the technology impact peoples’ everyday lives, but it also helps cities prepare for power outages by collecting and exchanging data that facilitates real-time status monitoring of transmission and distribution lines. Smart grids, contrary to the traditional utility grids, allow bi-directional flow of electricity and information, such as grid status and customer requirements, among different parties in the grid. Thus, smart grids reduce the power losses and increase the efficiency of electricity generation and distribution, as they allow for the exchange of information between subsystems. However, smart grids is not resilient under extreme conditions, particularly when the utility grid is unavailable. With the increasing penetration of the renewable energy sources (RES) in smart grids, the uncertainty of the generated power from the distributed generators (DGs) has brought new challenges to smart grids in general and smart microgrids in particular. The rapid change of the weather conditions can directly affect the amount of the generated power from RES such as wind turbine and solar panels, and thus degrading the reliability and resiliency of the smart microgrids. Therefore, new strategies and technologies to improve power reliability,sustainability, and resiliency have emerged. To this end, in this thesis, we propose a novel framework to improve the smart microgrids reliability and resiliency under severe conditions. We study the transition to the grid-connected operational mode in smart microgrids,in the absence of the utility grid, as an example of emergency case that requires fast and accurate response. We perform a comparative study to accurately predict upcoming grid-connected events using machine learning techniques. We show that decision tree models achieve the best average prediction performance. The packets that carry the occurrence time of the next grid-connected transition are considered urgent packets. Hence, we per-form an extensive study of a smart data aggregation approach that considers the priority of the data. The received smart microgrids data is clustered based on the delay-sensitivity into three groups using k-means algorithm. Our delay-aware technique successfully reduces the queuing delay by 93% for the packets of delay-sensitive (urgent) messages and the Packet Loss Rate (PLR) by 7% when compared to the benchmark where no aggregation mechanism exists prior to the small-cell base stations. As a mitigation action of the utility grid unavailability, we use the electrical vehicles (EVs) batteries as mobile storage units to cover smart microgrids power needs until the utility grid recovery. We formulate a Mixed Integer Linear Programming (MILP) model to find the best set of electrical vehicles with the objective of minimum cost. The EVs participating in the emergency power supply process are selected based on the distance and throughput performance between the base station and the EVs

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deSa, Michael E. "An Original Microgrid Business Model Determines an Imminent New Asset Market." Case Western Reserve University Doctor of Management / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=casedm1568628001000343.

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Forel, Alexandre. "Distributed Model Predictive Operation Control of Interconnected Microgrids." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206145.

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The upward trends in renewable energy deployment in recent years brings new challengesto the development of electrical networks. Interconnected microgrids appear as a novelbottom-up approach to the production and integration of renewable energy.Using model predictive control (MPC), the energy management of several interconnectedmicrogrids is investigated. An optimisation problem is formulated and distributed ontothe individual units using the alternating direction method of multipliers (ADMM). Themicrogrids cooperate to reach a global optimum using neighbour-to-neighbour communications.The benefits of using distributed operation control for microgrids are analysed and a controlarchitecture is proposed. Two algorithms are implemented to solve the optimisationproblem and their advantages or differences are confronted.<br>Förnybara energikällor har ökat under senaste åren. Det innebär nya utmaningar förevolutionen av elektriska nät. Microgrids är en bottom-up ansats för produktion ochintegrering av förnybar energi.Energiförsörjning av flera sammankoppladeMicrogrids studeras in detta arbete genommodellbaserad prediktiv kontroll (MPC). Ett optimeringsproblem formuleras på de enskildaenheterna med Alternating DirectionMethod ofMultipliers (ADMM) och parallellberäkningar härledas.Microgrids samarbetar för att nå en global lösning av neighbourto-neighbour kommunikation.Distribuerad energiförsörjning av microgrids analyseras och två kontroll algorithmerutformas.

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Rasouli, Disfani Vahid. "Optimization and Control for Microgrid and Power Electronic Converters." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5764.

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The proposed dissertation research investigates Optimization and Control for Microgrid and Power Electronic Converters. The research has two major parts: i- Microgrid Operation and Control, ii- Power Electronic Converter Control and Optimization. In the first part, three focuses are investigated. First, a completely distributed algorithm is developed for dc optimal power flow problem for power distribution systems as one of the necessary functions considered in unit-commitment problem in day-ahead markets. This method is derived based upon the partial primal-dual representation of the economic dispatch problem, which is finally translated to DC-OPF problem. Second, the optimal interaction between the utility and communities will be studied, due to its improtance in real-time markets. The objective of this section will be to develop an iterative agent-based algorithm for optimal utility-community control. The algorithm will consider the AC power system constraints to maintain power system stability. In this algorithm, a simplified model of microgrid is considered. In the third focus, a comprehensive model of microgrid is taken into account. The optimal operation of the microgrid considering energy storage systems and renewable energy resources is investigated. The interaction of such microgrids with the main grid to define the optimal operation of the entire embedded system is studied through two iterative methods. In the microgrid's internal problem, a moving-horizon algorithm is considered to define the optimal dispatch of all distributed energy resources while considering the time-correlated constraints of energy storage systems. A thorough analysis of the effects of the size of storage systems on energy and reserve market parameters are also performed. In the second part, the focus of research is to develop optimal control strategies for Power Electronic Converters. A Model Predictive Control (MPC) switching method is proposed for Modular Multilevel Converters (MMC). The optimal solution of MPC problem is then represented as an optimization problem. Due to lack of efficient algorithms to seek the optimal solution, a fast algorithm will be proposed in this research. The method proposed reduces the number of possible solutions and computation efforts dramatically.

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Osama, Hassan Eltayeb Khalid. "Development of the Simulation Model for the CoSES Laboratory Test Microgrid in Modelica." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Evolution of the traditional consumer in a power system to a prosumer has posed many problems in the traditional uni-directional grid. This evolution in the grid model has made it important to study the behaviour of microgrids. This thesis deals with the laboratory microgrid setup at the Munich School of Engineering, built to assist researchers in studying microgrids. The model is built in Dymola which is a tool for the OpenModelica language. Models for the different components were derived, suiting the purpose of this study. The equivalent parameters were derived from data sheets and other simulation programs such as PSCAD. The parameters were entered into the model grid and tested at steady state, firstly. This yielded satisfactory results that were similar to the reference results from MATPOWER power flow. Furthermore, fault conditions at several buses were simulated to observe the behaviour of the grid under these conditions. Recommendations for further developing this model to include more detailed models for components, such as power electronic converters, were made at the end of the thesis.

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Гузов, Анатолій Геннадійович. "Модифікована система управління мережею MicroGrid на основі Інтернету Речей". Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/39339.

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Робота містить 69 сторінки, 20 рисунків та 25 таблиць. Було використано 32 джерела. Мета роботи: Покращити ефективність системи управління мережею MicroGrid за рахунок її модифікації при застосуванні Інтернету речей. Проаналізовано різні існуючі типи структур інтелектуальних мереж. Зокрема Smart Grid, Smart Power Grid, SCADA системи та MicroGrid. Підсумовано і підтверджено актуальність розробки концепції контролю Інтернету речей над MicroGrid. Розглянуті проблематики, які виникають при впровадженні і експлуатації даної концепції системи. Поставлено за завдання модифікувати створену імітаційну модель управління ІоТ над MicroGrid. Для вирішення поставленного завдання запропонована аналітична модель, заснована на принципах існуючих конецепцій інтелектуальних мереж Smart Grid та Microgrid з урахуванням Інтернету речей з використанням хмарних технологій. У рамках даної імітаційної моделі визначено правила взаємодій елементів системи. Застосування запропонованого рішення дозволяє мати певне представлення системи при її проектуванні, яке відповідає заданій предметній області. Метод мусить передбачати відсутність участі людини, але при формуванні на стільки великої системи не дозволяє ліквідувати її контроль над не контрольованими елементами мережі. Отримані результати доводять на основі імітаційної моделі, що запропонована модифікація є енергоефективною та відмовостійкою.<br>The work contains 69 pages, 20 figures and 25 tables. 32 sources were used. Purpose: To improve the efficiency of the MicroGrid network management system by modifying it when using the Internet of Things. Various existing types of intelligent network structures are analyzed. In particular Smart Grid, Smart Power Grid, SCADA systems and MicroGrid. The relevance of developing the concept of Internet of Things control over MicroGrid is summarized and confirmed. The problems that arise during the implementation and operation of this system concept are considered. The task is to modify the created simulation model of IoT control over MicroGrid. To solve this problem, an analytical model based on the principles of existing concepts of intelligent networks Smart Grid and Micro Grid, taking into account the Internet of Things using useless technologies. Within the framework of this simulation model the rules of interactions of system elements are defined. The application of the proposed solution allows you to have a certain representation of the system in its design, which corresponds to a given subject area. The method must provide for the absence of human participation, but when forming such a large system does not allow to eliminate its control over uncontrolled elements of the network. The obtained results prove on the basis of the simulation model that the proposed modification is energy efficient and fault tolerant.

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Chettiyar, Thanigasalam. "Examination of Power Quality Control within a Cost-based Microgrid Architecture." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1385545865.

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Sampaio, Junior Adalberto Ribeiro. "Controle de microgrids dirigido por modelos." Universidade Federal de Goiás, 2014. http://repositorio.bc.ufg.br/tede/handle/tede/3859.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-13T10:58:35Z No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Adalberto Ribeiro Sampaio Junior - 2014.pdf: 1618396 bytes, checksum: bd9ccea5178781ea6e1d2e0b346d9787 (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-13T10:58:56Z (GMT) No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Adalberto Ribeiro Sampaio Junior - 2014.pdf: 1618396 bytes, checksum: bd9ccea5178781ea6e1d2e0b346d9787 (MD5)<br>Made available in DSpace on 2015-01-13T10:58:56Z (GMT). No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Adalberto Ribeiro Sampaio Junior - 2014.pdf: 1618396 bytes, checksum: bd9ccea5178781ea6e1d2e0b346d9787 (MD5) Previous issue date: 2014-03-31<br>Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG<br>The use of model driven engineering (MDE) and models at runtime represent an important tools for the development and management of complex systems. We show how a model driven approach can be used to create a manager able to control the various components of a microgrid, besides adding autonomic behavior in this kind of system. Applying an architecture that respects the hierarchy of controllers present in microgrids, we show how devices can be controlled through calls and events that are targeted to a manager and defined in its model. This model-driven approach facilitates the control of devices and allows customization of the bahavior of a microgrid by the end user in charge of managing it.<br>O uso de engenharia de software dirigida por modelos (MDE) e de modelos em tempo de execução constitui uma ferramenta importante para desenvolver e controlar sistemas complexos. Neste trabalho utilizamos uma abordagem dirigida por modelos para controlar sistemas de distribuição de energia elétrica conhecidos como microgrids. Mostramos como uma abordagem dirigida por modelos pode ser utilizada para criar um gerente capaz de controlar os diversos componentes de uma microgrid, além de adicionar comportamento autonômico neste tipo de sistema. Aplicando uma arquitetura que respeita a hierarquia dos controladores presentes em microgrids, mostramos como os dispositivos podem ser controlados por meio de chamadas e eventos direcionados ao gerente de recursos e definidos em seu modelo. Essa forma de controle dirigido por modelos facilita a definição do controle dos dispositivos de uma microgrid por parte do usuário, além de permitir uma personalização do comportamento global de uma microgrid.

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Hijjo, Mohammed M. A. [Verfasser], and Georg [Akademischer Betreuer] Frey. "Model-based development and design of microgrid power systems / Mohammed M. A. Hijjo ; Betreuer: Georg Frey." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/1183673043/34.

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Books on the topic "Microgrid model"

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Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. Model Predictive Control of Microgrids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24570-2.

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García-Torres, Félix. Model Predictive Control of Microgrids. Springer Nature, 2020.

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Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. Model Predictive Control of Microgrids. Springer, 2019.

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Model Predictive Control of Microgrids. Springer International Publishing AG, 2020.

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Bhave, Mahesh P. The Microgrid Revolution. ABC-CLIO, LLC, 2016. http://dx.doi.org/10.5040/9798400685347.

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What kinds (according to U.S. News & World Report) of clean electricity initiatives—ones that make sense on public policy and business strategy levels—could overcome the hurdles in shifting away from the entrenched electricity and petroleum-based transport industries in the United States? This book explores the tremendous opportunities of the new electricity revolution that looks to threaten the century-old business models of our existing power production infrastructure. The electricity industry, having been in place for more than 100 years, has established tremendous power and influence. But as solar- and wind-based energy businesses gain small footholds and expand their impact, the incumbent electricity businesses face fundamental challenges that threaten their century-old business models. Will technological advances and the motivation to control climate change finally effect a revolution in the electricity markets? This unique book proposes public policy- and business strategy-level initiatives that could overcome the structural impediments that prevail in the current electricity industries and predicts the important changes to come in the immediate and distant future. In The Microgrid Revolution: Business Strategies for Next-Generation Electricity, author Mahesh P. Bhave explains the current state of electricity production, identifies its widespread problems, and proposes a specific approach and particular solution to the puzzle of supplying clean energy for the 21st-century world. The introductory chapters lay the groundwork for the author’s provocative thesis, and the concluding chapters elaborate on it with broad implications. By examining the subject material from the perspectives of public policy and regulatory concerns, corporate strategy, industry structure changes, innovation, and climate change as well as from a technological angle, readers from diverse industries and professional backgrounds will be able to understand how the coming electricity revolution is something we all have the power to influence.

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Control Estimation and Optimization for Microgrids: A Fuzzy-Model-based Method. Taylor & Francis Group, 2019.

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Hu, Jiefeng, Josep Guerrero, and Syed Islam. Model Predictive Control for Microgrids: From power electronic converters to energy management. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbpo199e.

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Guerrero, Josep M., Jiefeng Hu, and Syed Islam. Model Predictive Control for Microgrids: From Power Electronic Converters to Energy Management. Institution of Engineering & Technology, 2021.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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Book chapters on the topic "Microgrid model"

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Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. "Microgrid Control Issues." In Model Predictive Control of Microgrids. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24570-2_1.

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Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. "Dynamical Models of the Microgrid Components." In Model Predictive Control of Microgrids. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24570-2_3.

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Jinyi, Li, Xiao Jun, and Song Chenhui. "Microgrid Security Region: Model and Application." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0408-2_72.

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Gu, Jipeng, Binjie Wang, Sheng Zheng, Xuguang Wu, Youbing Zhang, and Weijie Zhang. "Multivariate Model Predictive Control for High Permeability Photovoltaic Microgrid." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7413-9_69.

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Kandari, Ritu, Pankaj Gupta, and Ashwani Kumar. "Voltage deviation mitigation of standalone microgrid using model predictive control." In Interdisciplinary Research in Technology and Management. CRC Press, 2024. http://dx.doi.org/10.1201/9781003430469-14.

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Chen, Xu, and Guixue Cheng. "Collaborative Optimization Scheduling Model for Clean Energy in Microgrid Clusters." In Communications in Computer and Information Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8743-2_14.

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Kaur, Jagdeep, Simerpreet Singh, Manpreet Singh Manna, Inderpreet Kaur, and Debahuti Mishra. "An Optimized Planning Model for Management of Distributed Microgrid Systems." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9873-6_11.

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Li, Yong, Mingmin Zhang, and Yijia Cao. "Stability Analysis of Virtual-Inertia-Controlled DC Microgrid Based on Impedance Model." In Stability Analysis, Flexible Control and Optimal Operation of Microgrid. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0753-3_2.

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Shuai, Zhikang. "Time-Scale Model Reduction of Microgrid Based on Singular Perturbation Theory." In Transient Characteristics, Modelling and Stability Analysis of Microgird. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8403-9_6.

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Li, Yong, Mingmin Zhang, and Yijia Cao. "Transaction Model of Multi-Energy Microgrid Considering Balance between Supply and Demand Sides." In Stability Analysis, Flexible Control and Optimal Operation of Microgrid. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0753-3_9.

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Conference papers on the topic "Microgrid model"

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Huang, Haizhou, Zhiping Xia, Xinkai Shan, Jie Wang, and Xi Li. "Microgrid energy management strategy considering microgrid economy and rSOC stability: A model-based study." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661490.

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Su, Linglei, Hongyang Xu, Cuicui Zhao, and Xiao Cong. "Microgrid Battery Energy Storage Capacity Configuration Optimization Model." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868502.

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Amato, Giulia, Enrico Elio De Tuglie, Luigi Pio Savastio, et al. "Dynamic Model of a Smart MicroGrid for DSA Applications." In 2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2024. http://dx.doi.org/10.1109/eeeic/icpseurope61470.2024.10751153.

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Chen, Cheng, and Zhijie Wang. "Optimization Model for Microgrid Control of Electric Vehicle Clusters." In 2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS). IEEE, 2024. https://doi.org/10.1109/eiecs63941.2024.10800155.

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Liu, Jiangshan, and Youyi Bi. "System Parameter Design for Community Microgrid Energy System Based on a Bi-Level Optimization Model." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113149.

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Abstract With the increasing use of renewable energy in the context of global climate change, microgrids are expected to be a promising form of accessing and distributing renewable energy sources. However, existing design methods for microgrid energy systems usually consider the system planning and system operation as separate problems, which cannot guarantee the safety, reliability and cost economy of microgrids from a holistic view. To fill this gap, we propose a system parameter design approach for community microgrid based on a bi-level optimization model. This approach can generate optimal system configuration parameters and operation parameters for a community microgrid energy system in an integrated way. To demonstrate the validity of the proposed approach, we use the construction and operation of a medium-sized community microgrid system in a southern-China city as the illustrative example. The results show that the generated system planning and operation strategies can effectively improve the reliability and lower the operation cost of the microgrid system without raising customers’ power consumption expenditures. In addition, the influence of the environmental sensitivity of renewable energy and the dynamics of customers’ power consumption patterns on the reliability and economy of microgrid are also examined and discussed. Our study contributes to the development of advanced design and operation methods for smart-community energy systems.

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Fachini, Fernando, Srijita Bhattacharjee, Miguel Aguilera, et al. "Exploiting Modelica and the OpenIPSL for University Campus Microgrid Model Development." In 15th International Modelica Conference 2023, Aachen, October 9-11. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp204285.

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The need for modeling different aspects of microgrid design and operation has seen the development of various tools over time for different analysis purposes. In this study, Modelica has been adopted as the language of choice to construct a University Campus Microgrid model, utilizing the Modelica Standard Library and the OpenIPSL library. This paper explores the advantages of utilizing Modelica for campus microgrid modeling, emphasizing its benefits and unique features. Modelica features, such as the use of record structures and replaceable templates prove to be particularly advantageous for the modeling task, enabling flexibility and efficiency in the modeling process. Furthermore, comprehensive validation tests are conducted to ensure the accuracy and reliability of sub-systems (e.g. specific power generator systems), before assembling the microgrid network model as a whole. The results demonstrate the efficacy of Modelica in accurately modeling and simulating microgrids, highlighting its potential for advancing microgrid research and development.

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Heyer, Gabriel, and Matilde D'Arpino. "Model-Based Fault Diagnostic Strategy for Microgrids." In Energy & Mobility Technology, Systems, and Value Chain Conference and Expo. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1506.

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<div class="section abstract"><div class="htmlview paragraph">Microgrids are a topic of interest in recent years, largely due to their compatibility with the integration of distributed renewable resources, capability for bidirectional power flow, and ability to reconfigure to mitigate the effects of faults. Fault diagnosis algorithms are a foundational technology for microgrids. These algorithms must have two primary capabilities. First, faults must be detectable; it is known when the fault occurs. Second, faults must be isolable; the type and location of detected faults can be determined. However, most fault handling research considering microgrids has focused on the protection algorithm. Protection algorithms seek to quickly extinguish dangerous faults which can damage components. However, these algorithms may not sufficiently capture less severe faults, or provide comprehensive monitoring for the microgrid. This is particularly relevant when considering applications involving fault tolerant control or dynamic grid reconfiguration. Although well-accepted in the automotive and aviation field, model-based diagnostics have not been extensively applied to microgrid or power grid systems. Therefore, this work proposed a diagnostic concept relying on model-based diagnostics. Structural analysis is used to develop model-based residuals, and data from a Simulink microgrid model is used to define and calibrate diagnostic tests. It is shown that the use of model-based diagnostics yields better detection and isolation performance compared to overcurrent protection or differential current protection alone.</div></div>

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Chu Cheong, Matthew K., Dongmei Chen, and Pengwei Du. "Understanding the Role of Microgrid Topology for Decentralized Model-Based Control." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9103.

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Abstract This paper identifies how the topology of a microgrid, particularly with respect to localized power injections, can affect the overall stability of the system. Microgrids are smaller-scale power networks that can disconnect from, and operate independently to, the main grid if necessary; accordingly, distributed and local generation is much more common in these systems. Of these local power sources, a significant proportion interface with the microgrid via inverters, and therefore lack physical inertia. This absence of physical inertia exacerbates the control challenge in a microgrid. These issues motivate the question of how to best control distributed generators to realize grid-wide improvements to power quality. We outline how the placement of controlled distributed generators can result in varying degrees of improved transient behavior, following disturbances to a microgrid. In this resulting simulations and analysis, we find that when the power sources in a microgrid are of varying capacity or rating, then the network topology can have a significant effect on transient performance deterioration. Notably, we find that if even a single a lower rated power source is ‘near’ or adjacent to a grid disturbance, then the microgrid may experience severe harmonic disturbances. In addition, we show that if such sources are controlled with a decentralized optimal controller, rather than a typical droop mechanism, then the overall microgrid performance is significantly improved.

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Orellana Postigo, Miguel Angel, Javier Martinez, and José Reinaldo Silva. "Microgrid System Design Based On Model Based Systems Engineering And Goal-Oriented Requirements Engineering." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1146.

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Microgrids appear as a practical, clean and reliable solution to meet the demand of populations that, for various reasons, do not have access to electricity. The complexity of microgrid systems, requires considerable engineering eort in the design process. To design this type of complex systems, new approaches, methods, concepts and engineering tools are needed. Where, the requirements analysis has a preponderant role to better characterize, understand and specify the application domain and the problem that the microgrids must solve. This work proposes the introduction of a formal analysis of requirements in the life cycle of microgrid systems, using IEC 61850 as a reference architecture. The requirements would be represented in an Object Oriented Requirements Engineering (GORE) approach, using specically visual diagrams based on the KAOS (Keep All Objectives Satised) method, where the operation and control of the network will be formally represented. The requirements analysis is presented using a combined representation that uses the GORE and Petri Nets methodology for dynamic modeling and formal verication. A case study for small communities in the Amazon rainforest is used as a case study for the proposed method.

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Hua, Yuwei, Zhenhua Jin, Huilong Huang, and Zihao Wang. "Research on Economic Energy Management Strategies for Range-Extended Energy Storage Microgrids." In SAE 2024 Vehicle Powertrain Diversification Technology Forum. SAE International, 2025. https://doi.org/10.4271/2025-01-7093.

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<div class="section abstract"><div class="htmlview paragraph">This paper presents the strategy design, development, and detailed simulation of an Energy Management System (EMS) for a range extender energy storage microgrid project. Initially, a microgrid system model including photovoltaic (PV) and energy storage devices was established. Secondly, the Latin Hypercube Sampling (LHS) method was employed to generate possible operational scenarios, and an improved K-means clustering algorithm was used for scenario classification. Subsequently, a series of constraints were constructed for the economic viability of the microgrid to minimize its annualized comprehensive cost, while satisfying power balance and equipment operation. Finally, the microgrid system was simulated and solved using the GUROBI solver, covering cost analyses of the energy storage system and diesel generators under different configurations, as well as the State of Charge (SOC) variations of the energy storage system. The simulation results indicate that, after considering the one-time investment costs of PV, battery cells, and Power Conversion Systems (PCS), the microgrid under different modes can pay back within a few years, while the diesel storage simulation results provide a detailed cost analysis under various diesel generator configurations. These results provide important reference for the planning, design, and economic assessment of microgrids, proving the potential of energy storage microgrids in improving energy efficiency, reducing costs, and promoting the use of renewable energy.</div></div>

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Reports on the topic "Microgrid model"

1

Nicholson, Jessica, Matthew Gross, Daniel Herring, and Thomas Bozada. Analysis of Microgrid Performance, Reliability, and Resilience (AMPeRRe) computational model : novel analytical model to forecast the outcomes of installation power grids. Engineer Research and Development Center (U.S.), 2024. https://doi.org/10.21079/11681/49485.

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Federal facilities, industrial areas, academic campuses, and communities are working to incorporate greater renewable energy sources and energy storage in their power infrastructure. While renewable sources of energy can—and do—support several facilities, uncertainty still exists about how reliably these sources of energy can support small and critical power systems with higher reliability standards, such as Army installations, tactical microgrids, remote community grids, and emergency response power systems. Maintaining reliability is already a significant challenge for power grids, and those that have a high proportion of renewable energy face particular challenges due to their intermittent power production. This technical report addresses the uncertainty by presenting a new computational model called Analysis of Microgrid Performance, Reliability, and Resilience (AMPeRRe). The model forecasts the power availability, fuel consumption, specific resilience factors, and excess energy production of proposed grids that include renewable energy sources and energy storage. If proposed grids are forecasted to lose power availability, users can apply this model to find which resources are needed to achieve 100% power availability and optimize resource quantities for ideal performance outcomes. AMPeRRe significantly reduces the uncertainty around renewable energy and energy storage in power grids and informs the critical resource investment decisions needed to yield improved long-term outcomes.

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Stamp, Jason E., John P. Eddy, Richard P. Jensen, and Karina Munoz-Ramos. Microgrid Design Analysis Using Technology Management Optimization and the Performance Reliability Model. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1235988.

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Lopez, Vanessa D., Benito F. Perez, Harold R. Harold R., and Melanie D. Johnson. Power Modeling Tools : Market Assessment. U.S. Army Engineer Research and Development Center, 2024. http://dx.doi.org/10.21079/11681/49468.

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This work was performed by the Energy—Power and Mechanical Systems Branch, US Army Construction Engineering Research Laboratory (CERL), Engineer Research and Development Center (ERDC).This technical note provides a survey and market assessment of power modeling tools to assist the Office of the Assistant Secretary of the Army (OASA), Installations, Energy, and Environment (IE&E), with effective decision-making when considering the features, advantages, and disadvantages of the software tools available for power system modeling on a typical small, medium, or large Army installation. This summary information reviews the capabilities and features of commercial power system modeling software tools. Installations may use these tools to model their electrical distribution systems and assess the impacts of facility electrification, electric vehicle deployment, microgrid implementation, and other electrical system projects.

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Zinaman, Owen, Joseph Eto, Brooke Garcia, Jhi-Young Joo, Robert Jeffers, and Kevin Schneider. White Paper: Enabling Regulatory and Business Models for Broad Microgrid Deployment. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1906854.

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Sandia National Laboratories. Microgrid Design Toolkit (MDT) Simple Use Case Example for Islanded Mode Optimization Software v1.1. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1494330.

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Eddy, John P. Microgrid Design Toolkit (MDT) Simple Use Case Example for Islanded Mode Optimization Software v1.2. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1599536.

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Eddy, John P., Samuel Gilletly, and Alisa Bandlow. Microgrid Design Toolkit (MDT) Simple Use Case Example for Islanded Mode Optimization (Software v1.3). Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1642349.

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Anderson, Benjamin, Ram Poudel, Jim Reilly, Przemyslaw Koralewicz, Venkat Krishnan, and Jayaraj Rane. Advanced Distributed Wind Turbine Controls Series: Part 1-Flatirons Campus Model Overview; Microgrids, Infrastructure Resilience, and Advanced Controls Launchpad (MIRACL). Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1876387.

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Venkataramanan, G., M. S. Illindala, C. Houle, and R. H. Lasseter. Hardware Development of a Laboratory-Scale Microgrid Phase 1--Single Inverter in Island Mode Operation: Base Year Report, December 2000 -- November 2001. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/15002483.

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DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact Sheet). Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1009261.

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