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Journal articles on the topic 'YALMIP'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Löfberg, Johan. "Modeling and solving uncertain optimization problems in YALMIP." IFAC Proceedings Volumes 41, no. 2 (2008): 1337–41. http://dx.doi.org/10.3182/20080706-5-kr-1001.00229.

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2

Du, Zhendong, Guosheng Jin, Yu Fang, et al. "Optimal configuration of energy storage system in multi-station fusion mode." E3S Web of Conferences 256 (2021): 02002. http://dx.doi.org/10.1051/e3sconf/202125602002.

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Multi-station fusion mode (MSF) generally includes energy storage system, data center and electric vehicle charging station. It can improve the utilization rate of land and power distribution resources of urban substations. This paper studies configuration of ESS in the MSF model, aiming at reducing total cost. Firstly, an AC-DC system of MSF model is established. Then, aiming at economy, the optimal configuration model of ESS is established. Finally, the effectiveness of the model is verified by a practical example, and the MATLAB toolbox YALMIP with the CPLEX solver is used to conduct the ES

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3

Cong, Er-yong, Li Zhu, and Xian Zhang. "Global exponential synchronization of discrete-time high-order BAM neural networks with multiple time-varying delays." AIMS Mathematics 9, no. 12 (2024): 33632–48. http://dx.doi.org/10.3934/math.20241605.

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<p>The global exponential synchronization (GES) problem of a class of discrete-time high-order bidirectional associative memory neural networks (BAMNNs) with multiple time-varying delays (T-VDs) is studied. We investigate novel delay-dependent global exponential stability criteria for the error system by proposing a mathematical induction method. The global exponential stability criteria that have been obtained are described through linear scalar inequalities. These exponential synchronization conditions are very simple and convenient for verification based on standard software tools (su

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4

Cong, Er-yong, Xian Zhang, and Li Zhu. "Semi-Global Polynomial Synchronization of High-Order Multiple Proportional-Delay BAM Neural Networks." Mathematics 13, no. 9 (2025): 1512. https://doi.org/10.3390/math13091512.

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This paper addresses the semi-global polynomial synchronization (SGPS) problem for a class of high-order bidirectional associative memory neural networks (HOBAMNNs) with multiple proportional delays. The time-delay-dependent semi-global polynomial stability criterion for error systems was established via a direct approach. The derived stability conditions are formulated as several simple inequalities that are readily solvable, facilitating direct verification using standard computational tools (e.g., YALMIP). Notably, this method can be applied to many system models with proportional delays af

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5

Tandon, Bhawna, Shiv Narayan, and Jagdish Kumar. "LMI-based control of feedback linearised CSTR using YALMIP and CVX - a comparative analysis." International Journal of Automation and Control 9, no. 1 (2015): 37. http://dx.doi.org/10.1504/ijaac.2015.068046.

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Ferjani, A., I. Zaidi, and M. Chaabane. "Robust Observer-Based H∞ Controller Design for Motorcycle Lateral Dynamics." Mathematical Problems in Engineering 2018 (June 10, 2018): 1–11. http://dx.doi.org/10.1155/2018/2158129.

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The present work deals with the design problem of a robust observer-based controller for a motorcycle system using LPV approach. The designed model is specifically uncertain and disturbed one, whose uncertainties are related to variations of both the cornering stiffness and the longitudinal velocity. The nonlinear motorcycle model is firstly transformed on an uncertain LPV model with two vertices; then an observer-based H∞ robust controller is designed. Both the controller and observer gain matrices are computed by solving a unified convex optimization problem under LMI constraints using YALMI

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Theodorakatos, Nikolaos P., Angelos P. Moschoudis, and Rohit Babu. "Calculating Global Minimum Points to Binary Polynomial Optimization Problem: Optimizing the Optimal PMU Localization Problem as a Case-Study." Journal of Physics: Conference Series 2701, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2701/1/012001.

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Abstract State estimation (SE) is an algorithmic function of an energy management system (EMS). SE provides an actual-time monitoring and control of modern electrical power grids. State Estimation can be worked with sufficiency using Phasor Measurement Units optimally placed within a power grid. This paper concerns the implementation of proper algorithms embedded in optimization solvers to the optimal PMU localization problem solving globally. The optimization model is formulated as a 0 - 1 nonlinear minimization problem. The problem is transformed to a polyhedron using linearization methods a

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Hamidane, Hafsa, Samira El Faiz, Abdeslam Lachhab, Mohammed Guerbaoui, and Abdelali Ed-Dahhak. "Constrained Discrete Model Predictive Control of a Greenhouse Relative Humidity." E3S Web of Conferences 229 (2021): 01001. http://dx.doi.org/10.1051/e3sconf/202122901001.

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In this paper, we present a Constrained Discete Model Predictive Control (CDMPC) strategy application for relative humidity control. In this sense, and for our system inside humidity dynamics description, a green-house prototype is engaged and a state space form which fits properly a set of collected data of the greenhouse humidity dynamics is presented as mathematical model. This latest is used for the CDMPC starategy application, which purpose is to select the best control moves based on an optimization procedure regarding the constraints on the control. By the means of Matlab/ Simulink and

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Hamidane, Hafsa, Samira El Faiz, Mohammed Guerbaoui, Abdelali Ed-Dahhak, Abdeslam Lachhab, and Benachir Bouchikhi. "Constrained discrete model predictive control of a greenhouse system temperature." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1223. http://dx.doi.org/10.11591/ijece.v11i2.pp1223-1234.

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In this paper, a constrained discete model predictive control (CDMPC) strategy for a greenhouse inside temperature is presented. To describe the dynamics of our system’s inside temperature, an experimental greenhouse prototype is engaged. For the mathematical modeling, a state space form which fits properly the acquired data of the greenhouse temperature dynamics is identified using the subspace system identification (N4sid) algorithm. The obtained model is used in order to develop the CDMPC starategy which role is to select the best control moves based on an optimization procedure under the c

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10

Li, Zezhou, Wu Zhu, and Guangdong Wang. "Charging Dispatching Strategy for Islanded Microgrid Battery-Swapping Stations." Electronics 13, no. 1 (2023): 49. http://dx.doi.org/10.3390/electronics13010049.

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To date, few studies have addressed the charging and discharging schedules of electric vehicle battery-swapping stations in China’s isolated microgrids. Given that battery-swapping is expected to become increasingly widespread, this study innovatively considered distributed power sources, such as wind power and photovoltaic power, to analyze battery-swapping station operation and isolated microgrid operation schedules. Considering the needs of potential future communities that might depend on electric vehicle battery-swapping stations, two scenarios were analyzed, and the most effective intege

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11

Yuan, Yue, Angel A. Bayod-Rújula, Huanxin Chen, Amaya Martínez-Gracia, Jiangyu Wang, and Anna Pinnarelli. "An Advanced Multicarrier Residential Energy Hub System Based on Mixed Integer Linear Programming." International Journal of Photoenergy 2019 (June 9, 2019): 1–12. http://dx.doi.org/10.1155/2019/1384985.

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This work proposes a multicarrier energy hub system with the objective of minimizing the economy cost and the CO2 emissions of a residential building without sacrificing the household comfort and increasing the exploitation of renewable energy in daily life. The energy hub combines the electrical grid and natural gas network, a gas boiler, a heat pump, a photovoltaic plant, and a photovoltaic/thermal (PV/T) system. In addition, to increase the overall performance of the system, a battery-based energy storage system is integrated. To evaluate the optimal capacity of each energy hub component, a

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12

Hafsa, Hamidane, El Faiz Samira, Guerbaoui Mohammed, Ed-Dahhak Abdelali, Lachhab Abdeslam, and Bouchikhi Benachir. "Constrained discrete model predictive control of a greenhouse system temperature." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1223–34. https://doi.org/10.11591/ijece.v11i2.pp1223-1234.

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In this paper, a constrained discete model predictive control (CDMPC) strategy for a greenhouse inside temperature is presented. To describe the dynamics of our system’s inside temperature, an experimental greenhouse prototype is engaged. For the mathematical modeling, a state space form which fits properly the acquired data of the greenhouse temperature dynamics is identified using the subspace system identification (N4sid) algorithm. The obtained model is used in order to develop the CDMPC starategy which role is to select the best control moves based on an optimization procedure under

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13

Zhao, Qingqi, Lin Yang, Wenwen Li, Xulei Shi, Yanchen Ji, and Miaomiao Wang. "Study on the optimal allocation of comprehensive energy in the park." Journal of Physics: Conference Series 2310, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1742-6596/2310/1/012009.

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Abstract According to the demand response mode of the user side, this paper divides the flexible load into translational, reducible and transferable loads, briefly analyzes and introduces the operation characteristics of the three loads, and constructs the park comprehensive energy source system including wind power generation, photovoltaic, gas turbine and gas boiler. Considering the system investment cost, operation cost, fuel cost and compensation cost, this paper constructs the optimal allocation model of electric heating system in the park with the optimal total cost, and optimizes it thr

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14

Qu, Yanhua, and Sheng Lin. "A Novel Optimization Model of Integrated Energy System considering Thermal Inertia and Gas Inertia." Mathematical Problems in Engineering 2022 (April 28, 2022): 1–10. http://dx.doi.org/10.1155/2022/8998096.

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Aiming at the energy multivariate heterogeneity of thermal system and natural gas system, a novel optimization model of integrated energy system considering thermal inertia and gas inertia is proposed. First, the dynamic characteristics of the thermal system in the integrated energy system are studied, and the inertia model of the heat network pipeline and thermal building is established. Second, the characteristics of natural gas pipeline network storage are studied, and the natural gas storage and pressure energy generation models are established. Then, the optimization objective of the mini

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15

Tkachenko, Polina, and Dmitry Balandin. "Optimal control of coupled buildings under seismic excitation." Cybernetics and Physics, Volume 13, 2024, Number 3 (November 30, 2024): 234–40. https://doi.org/10.35470/2226-4116-2024-13-3-234-240.

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The article explores the concept of managing coupled buildings under seismic excitation. Connecting two closely spaced structures enables the redistribution of energy and reduction of structural responses. To minimize the resulting damage, the use of smart control is proposed. Smart control operates using feedback, allowing the system to adapt in real-time. To solve the problem of finding an optimal control, the paper suggests considering it within the framework of multicriteria optimization problems, with the criteria being the maximum deformation of each building described using the generali

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16

Ji, Xiu, Yang Bai, Haifeng Zhang, Huanhuan Han, and Jiajun Zhang. "Optimal operation of multi-energy microgrids with shared energy storage clusters by master-slave games." Journal of Physics: Conference Series 2865, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1742-6596/2865/1/012043.

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Abstract As shared energy storage power plants have become a research hotspot, the cooperation between them and microgrids has attracted attention. In this paper, we propose a master-slave game optimization operation strategy for multi-energy microgrids, taking into account shared energy storage (ESS) clusters. Firstly, the inclusion of ESS clusters is considered in a combined heat and power (CHP) type multi-energy microgrid. Then, the optimal operation model is established and solved in two layers. The master-slave game model in the context of ESS clusters is proposed by analyzing the game re

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17

Sriraman, R., P. Vignesh, V. C. Amritha, G. Rachakit, and Prasanalakshmi Balaji. "Direct quaternion method-based stability criteria for quaternion-valued Takagi-Sugeno fuzzy BAM delayed neural networks using quaternion-valued Wirtinger-based integral inequality." AIMS Mathematics 8, no. 5 (2023): 10486–512. http://dx.doi.org/10.3934/math.2023532.

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<abstract><p>This paper investigates the global asymptotic stability problem for a class of quaternion-valued Takagi-Sugeno fuzzy BAM neural networks with time-varying delays. By applying Takagi-Sugeno fuzzy models, we first consider a general form of quaternion-valued Takagi-Sugeno fuzzy BAM neural networks with time-varying delays. Then, we apply the Cauchy-Schwarz algorithm and homeomorphism principle to obtain sufficient conditions for the existence and uniqueness of the equilibrium point. By utilizing suitable Lyapunov-Krasovskii functionals and newly developed quaternion-valu

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18

Sel, Artun, Bilgehan Sel, Umit Coskun, and Cosku Kasnakoglu. "SOS-Based Nonlinear Observer Design for Simultaneous State and Disturbance Estimation Designed for a PMSM Model." Sustainability 14, no. 17 (2022): 10650. http://dx.doi.org/10.3390/su141710650.

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In this study, a type of nonlinear observer design is studied for a class of nonlinear systems. For the construction of the nonlinear observer, SOS-based optimization tools are utilized, which for some nonlinear dynamical systems have the advantage of transforming the problem into a more tractable one. The general problem of nonlinear observer design is translated into an SOS polynomial optimization which can be turned into an SDP problem. For a study problem, simultaneous state and disturbance estimation is considered, a cascaded nonlinear observer using a certain parameterization is construc

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19

Wang, Zhaohong, Jia Huang, Caixue Chen, and Seiji Fukushima. "Design of Prediction-Based Controller for Networked Control Systems with Packet Dropouts and Time-Delay." Mathematical Problems in Engineering 2022 (January 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/9437955.

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A novel prediction-based controller design is proposed for networked control systems (NCSs) with stochastic packet dropouts and time-delay in their control channel. The sequence of packet dropouts, which are modelled as a Bernoulli process, is compensated by a zero-order holder (ZOH)-based module, whereas a state predictor is utilized for obtaining the predicted states at the time delayed. In view of dropout compensator and state predictor, a novel modified model predictive controller (MPC) is designed and proposed in the following procedures. Compared to cost function of a general model predi

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20

Soltanpour, Mohammad Reza, Farshad Hasanvand, and Reza Hooshmand. "Robust linear parameter varying attitude control of a quadrotor unmanned aerial vehicle with state constraints and input saturation subject to wind disturbance." Transactions of the Institute of Measurement and Control 42, no. 6 (2019): 1083–96. http://dx.doi.org/10.1177/0142331219883452.

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In this paper, a gain scheduled [Formula: see text] state-feedback controller has been designed to control the attitude of a linear parameter varying (LPV) model of a quadrotor unmanned aerial vehicle (UAV). The scheduling parameters vector, which consists of some states and the control inputs, must vary in a specified polyhedron so that the affine LPV model would be analyzable; therefore, some pre-assumed constraints on states and input saturation have been taken into account in design process. The stabilization and disturbance attenuation conditions are obtained via elementary manipulations

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21

Yuan, Meng, Peng Zhang, and Meng Yuan. "Study on bi-layer optimal operation of new energy microgrid with P2G." Journal of Physics: Conference Series 2396, no. 1 (2022): 012033. http://dx.doi.org/10.1088/1742-6596/2396/1/012033.

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Abstract To improve the utilization of new energy sources and reduce economic costs, a micro-grid dispatching model based on new energy prediction with P2G is proposed. This paper consists of two stages. The first stage is to optimize the model of support vector machine using particle swarm algorithm to predict the data of wind power and photovoltaic power generation based on several influence factors. The second stage is to use the data of wind power and PV output in the first stage and put them into the micro-grid model of this paper for optimal dispatching. This stage is solved by using CPL

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22

Vadapalli, Siddhartha, and Subhasish Mahapatra. "3D Path Following Control of an Autonomous Underwater Robotic Vehicle Using Backstepping Approach Based Robust State Feedback Optimal Control Law." Journal of Marine Science and Engineering 11, no. 2 (2023): 277. http://dx.doi.org/10.3390/jmse11020277.

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This work renders the design of a robust state feedback optimal control strategy for an Autonomous Underwater Robotic Vehicle (AURV). The control strategy is developed using a polytopic approach based on hydrodynamic parameter variation. Besides, a backstepping approach is designed to control the kinematics of the system. However, the dynamics of the AURV system are controlled by a robust optimal control technique. In this work, the decoupled systems for both horizontal and vertical dynamics of AURV are used for the development of the control algorithms. Furthermore, the 3-D path following is

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Yin, Zhilong, Zhiguo Wang, Feng Yu, Dong Wang, and Na Li. "Optimization Strategy for Integrated Energy Microgrids Based on Shared Energy Storage and Stackelberg Game Theory." Electronics 13, no. 22 (2024): 4506. http://dx.doi.org/10.3390/electronics13224506.

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The implementation of community power generation technology not only increases the flexibility of electricity use but also improves the power system’s load distribution, increases the overall system efficiency, and optimizes energy allocation. This article first outlines the operational context of the system and analyzes the roles and missions of the various participants. Subsequently, optimization models are developed for microgrid operators, community power storage facility service providers and load aggregators. Next, the paper explores the game relationship between microgrid operators and

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Meng, Weiqi, Dongran Song, Xiaofei Deng, et al. "Dynamic Optimal Power Flow of Active Distribution Network Based on LSOCR and Its Application Scenarios." Electronics 12, no. 7 (2023): 1530. http://dx.doi.org/10.3390/electronics12071530.

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Optimal power flow (OPF) is a crucial aspect of distribution network planning and operation. Conventional heuristic algorithms fail to meet the system requirements for speed and accuracy, while linearized OPF approaches are inadequate for distribution networks with high R/X ratios. To address these issues and cater to multi-period scenarios, this study proposes a dynamic linearized second-order cone programming-based (SOCP) OPF model. The model is built by first establishing a dynamic OPF model based on linearized second-order conic relaxation (LSOCR-DOPF). The components of the active distrib

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25

Nan, Junpei, Jieran Feng, Xu Deng, Chao Wang, Ke Sun, and Hao Zhou. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method." Energies 15, no. 15 (2022): 5359. http://dx.doi.org/10.3390/en15155359.

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Introducing carbon trading is an essential way to decarbonize the power system. Many existing studies mainly consider source-side unilateral carbon trading (UCT). However, there are still rare studies considering source-load bilateral carbon trading (BCT). The effect of source-load BCT on system-wide carbon mitigation is worth studying. To fill this research gap, a hierarchical low-carbon economic-dispatch model with source-load BCT based on the Aumann–Shapley method was proposed. In the first layer, economic-dispatch was conducted to minimize the power-generation costs and source-side carbon-

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26

Daminov, Ildar, Rémy Rigo-Mariani, Raphael Caire, Anton Prokhorov, and Marie-Cécile Alvarez-Hérault. "Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime." Energies 14, no. 5 (2021): 1378. http://dx.doi.org/10.3390/en14051378.

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(1) Background: This paper proposes a strategy coupling Demand Response Program with Dynamic Thermal Rating to ensure a transformer reserve for the load connection. This solution is an alternative to expensive grid reinforcements. (2) Methods: The proposed methodology firstly considers the N-1 mode under strict assumptions on load and ambient temperature and then identifies critical periods of the year when transformer constraints are violated. For each critical period, the integrated management/sizing problem is solved in YALMIP to find the minimal Demand Response needed to ensure a load conn

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27

Ye, Chang, Shihong Miao, Yaowang Li, Chao Li, and Lixing Li. "Hierarchical Scheduling Scheme for AC/DC Hybrid Active Distribution Network Based on Multi-Stakeholders." Energies 11, no. 10 (2018): 2830. http://dx.doi.org/10.3390/en11102830.

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This paper presents a hierarchical multi-stage scheduling scheme for the AC/DC hybrid active distribution network (ADN). The load regulation center (LRC) is considered in the developed scheduling strategy, as well as the AC and DC sub-network operators. They are taken to be different stakeholders. To coordinate the interests of all stakeholders, a two-level optimization model is established. The flexible loads are dispatched by LRC in the upper-level optimization model, the objective of which is minimizing the loss of the entire distribution network. The lower-level optimization is divided int

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28

Checa, Gabriel, Ana Cabrera, José Sampietro, Nakira Valencia, and Raúl Ulloa. "Modelado y Simulación de Sistemas de Control Predictivos para la Generación Eléctrica en Redes Inteligentes." Revista Politécnica 54, no. 2 (2024): 7–20. https://doi.org/10.33333/rp.vol54n2.01.

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Las redes eléctricas inteligentes (RI) son reconocidas como un componente tecnológico fundamental para enfrentar el aumento de la demanda energética, mejorando la confiabilidad y sostenibilidad de los sistemas eléctricos. El presente estudio incluye en la RI elementos de almacenamiento que permiten disminuir la potencia suministrada por las fuentes de generación principales durante las horas de mayor demanda. Esto asegura que la demanda siempre se cubra y a la vez que se opera dentro de los rangos de mayor eficiencia. Se propone el uso de la herramienta de cómputo Matlab, mediante el Toolbox d

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29

Vincenti, Ferdinando, Manuel Bontempi, Bruno Poetini, Dario Furlanetto, and Gianluca Valenti. "Comparison between optimal refueling infrastructures for zero emission waste transportation vehicles in Valle Camonica." Journal of Physics: Conference Series 2648, no. 1 (2023): 012058. http://dx.doi.org/10.1088/1742-6596/2648/1/012058.

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Abstract The aim of this work is to conduct a comprehensive and fair comparison between fleets of vehicles powered by different technologies, namely electricity, compressed hydrogen, and liquid hydrogen. The study followed a well-defined methodology, starting with the development of a mixed-integer linear programming (MILP) model using MATLAB and the YALMIP toolbox. The primary objective of the model is to minimize the total annual cost associated with the infrastructure required for refuelling the fleet of zero-emission vehicles. The battery electric vehicle refuelling infrastructure is used

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30

Theodorakatos, Nikolaos P., Rohit Babu, and Angelos P. Moschoudis. "An Incomplete Observability-Constrained PMU Allocation Problem by Using Mathematical and Evolutionary Algorithms." Journal of Physics: Conference Series 2701, no. 1 (2024): 012013. http://dx.doi.org/10.1088/1742-6596/2701/1/012013.

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Abstract The purpose of this paper is to introduce several optimization algorithms that can be used to address optimization models in the power network, where the level of observability may be either complete or incomplete. These algorithms include discrete, continuous and metaheuristic methods. Initially, the optimization problem is approached by implementing a zero-one mixed integer linear program solved by several methods, including branch and bound revised simplex and primal dual-simplex in combination with interior point algorithms. To solve the problem of depth-one-unobservability (DoOU)

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Yang, Yi, Bowen Zhou, Yang Xu, et al. "Capacity Optimization for Coordinated Operation of Hybrid Electrolytic Cells Based on Wavelet Packet." Sustainability 17, no. 14 (2025): 6412. https://doi.org/10.3390/su17146412.

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Hydrogen production through electrolysis of water can achieve efficient, stable and diversified utilization of renewable energy. To this end, a hybrid electrolyzer system for hydrogen production based on bi-layer optimization is constructed. Firstly, the wind and photovoltaic power is decomposed into high-frequency and low-frequency components by an adaptive wavelet packet. The low-frequency power is allocated to the alkaline electrolyzers (AWE) to ensure its stability, and the high-frequency power is allocated to the proton exchange membrane electrolyzers (PEM) with a faster response characte

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Zhou, Hui, Jian Ding, Yinlong Hu, et al. "Economic Dispatch of Power Retailers: A Bi-Level Programming Approach via Market Clearing Price." Energies 15, no. 19 (2022): 7087. http://dx.doi.org/10.3390/en15197087.

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For power retailers in a smart grid, it is necessary to design an economic dispatch method to maintain a balance between power supply and demand on the sale side as well as obtain better economic benefits. This study concentrates on the economic dispatch of the dominant retailer in a regional market. The dominant retailer is considered to be equipped with generator resources such as distributed photovoltaics (PV), wind turbines (WT), and microturbines (MT). As one retailer cannot exactly predict the market conditions of other retailers, the retail market is considered to be modeled as a dichot

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Zhou, Jianhua, Rongqiang Li, Yang Li, and Linjun Shi. "Aggregation Modeling for Integrated Energy Systems Based on Chance-Constrained Optimization." Processes 12, no. 12 (2024): 2672. http://dx.doi.org/10.3390/pr12122672.

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Integrated energy systems (IESs) strengthen electricity–gas–heat multi-energy coupling and reduce wind and light abandonment. For grids with superior distribution, IESs are similar to virtual energy storage systems and are able to realize efficient interaction with the grid by synergizing the operating status of the internal equipment and improving the security, economy, and flexibility of the grid’s operation. However, the internal equipment coupling of an IES is complex, and determining how to evaluate its adjustable capacity range (that is, the upper and lower boundaries of its external ene

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Montoya, Oscar Danilo, Walter Gil-González, and Jesus C. Hernández. "Optimal Scheduling of Photovoltaic Generators in Asymmetric Bipolar DC Grids Using a Robust Recursive Quadratic Convex Approximation." Machines 11, no. 2 (2023): 177. http://dx.doi.org/10.3390/machines11020177.

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This paper presents a robust quadratic convex model for the optimal scheduling of photovoltaic generators in unbalanced bipolar DC grids. The proposed model is based on Taylor’s series expansion which relaxes the hyperbolic relation between constant power terminals and voltage profiles. Furthermore, the proposed model is solved in the recursive form to reduce the error generated by relaxations assumed. Additionally, uncertainties in PV generators are considered to assess the effectiveness of the proposed recursive convex. Several proposed scenarios for the numerical validations in a modified 2

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Feng, Jieran, Junpei Nan, Ke Sun, Xu Deng, Li Guan, and Hao Zhou. "Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism." Applied Sciences 13, no. 11 (2023): 6524. http://dx.doi.org/10.3390/app13116524.

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Demand-side energy storage is an important foundation for enhancing load flexibility to accommodate renewable energy. With the widespread adoption of renewable energy, demand-side energy storage planning, and its incentive mechanism have also attracted the attention of a large number of scholars. However, there are still few studies on incentives from a carbon perspective. To fill the gap, a dynamic carbon incentive mechanism is proposed in this study. In addition, a hierarchical two-stage robust planning model for demand-side energy storage that incorporates the proposed carbon incentive mech

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Liang, Youdong, Peng Li, Zhiran Yu, Zhilong Yin, Feng Yu, and Zhiguo Wang. "A Novel Day-Ahead Optimization-Oriented Low-Carbon Economic Scheduling Scheme for Integrated Energy Systems." Electronics 13, no. 20 (2024): 4122. http://dx.doi.org/10.3390/electronics13204122.

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As the global energy structure undergoes transformation and the low-carbon development process continues to advance, integrated energy systems have progressively emerged as crucial technical support for achieving sustainable development. In this paper, a joint-day optimal scheduling model is put forward considering the existence of dispatchable resources in community integrated energy systems (CIES). The aim is to cut down the system operation cost and enhance energy utilization efficiency. This model is founded on the concept of energy hubs and combines the shiftable, transferable, and reduci

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Zhang, Nan, Jie Chen, Bin Liu, and Xiaoning Ji. "Optimized Scheduling of Integrated Energy Systems with Integrated Demand Response and Liquid Carbon Dioxide Storage." Processes 12, no. 2 (2024): 292. http://dx.doi.org/10.3390/pr12020292.

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Energy storage technology can well reduce the impact of large-scale renewable energy access to the grid, and the liquid carbon dioxide storage system has the characteristics of high energy storage density and carries out a variety of energy supply, etc. Therefore, this paper proposes an integrated energy system (IES) containing liquid carbon dioxide storage and further exploits the demand-side regulation potential on the basis of which an integrated demand response model is proposed to consider the cooling, heating, and electricity loads. On this basis, an IES optimal scheduling model with the

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Theodorakatos, Nikolaos P., Rohit Babu, Christos A. Theodoridis, and Angelos P. Moschoudis. "Mathematical Models for the Single-Channel and Multi-Channel PMU Allocation Problem and Their Solution Algorithms." Algorithms 17, no. 5 (2024): 191. http://dx.doi.org/10.3390/a17050191.

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Phasor measurement units (PMUs) are deployed at power grid nodes around the transmission grid, determining precise power system monitoring conditions. In real life, it is not realistic to place a PMU at every power grid node; thus, the lowest PMU number is optimally selected for the full observation of the entire network. In this study, the PMU placement model is reconsidered, taking into account single- and multi-capacity placement models rather than the well-studied PMU placement model with an unrestricted number of channels. A restricted number of channels per monitoring device is used, ins

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Nicola, Marcel, Claudiu-Ionel Nicola, Dan Selișteanu, and Cosmin Ionete. "Control of PMSM Based on Switched Systems and Field-Oriented Control Strategy." Automation 3, no. 4 (2022): 646–73. http://dx.doi.org/10.3390/automation3040033.

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Starting from the problem of studying the parametric robustness in the case of the control of a permanent magnet-synchronous motor (PMSM), although robust control systems correspond entirely to this problem, due to the complexity of the algorithms of the robust type, in this article the use of switched systems theory is proposed as a study option, given the fact that these types of systems are suitable both for the study of systems with variable structure and for systems with significant parametric variation under conditions of lower complexity of the control algorithms. The study begins by li

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Wu, Qunli, and Kaiyue Qu. "A Joint Clearing Model of Energy-Frequency Modulation Based on Flexible Block Order." Energies 16, no. 14 (2023): 5413. http://dx.doi.org/10.3390/en16145413.

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The large-scale integration of renewable energy into the grid has led to a gradual diversification of power generation trading units on the power-side, with varying operational characteristics, costs, and trading needs among diverse power generation trading units. Traditional power system clearing models face challenges. Block order is a bidding type that allows for multiple volume–price combinations. At the same time, the randomness and volatility of renewable energy poses challenges to the safe and stable operation of the system. Building a power system clearing model that meets the diverse

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Hou, Renluan, Jianwei Niu, Yuliang Guo, et al. "A Novel Resolution Scheme of Time-Energy Optimal Trajectory for Precise Acceleration Controlled Industrial Robot Using Neural Networks." Actuators 11, no. 5 (2022): 130. http://dx.doi.org/10.3390/act11050130.

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The surging popularity of adopting industrial robots in smart manufacturing has led to an increasing trend in the simultaneous improvement of the energy costs and operational efficiency of motion trajectory. Motivated by this, multi-objective trajectory planning subject to kinematic and dynamic constraints at multiple levels has been considered as a promising paradigm to achieve the improvement. However, most existing model-based multi-objective optimization algorithms tend to come out with infeasible solutions, which results in non-zero initial and final acceleration. Popular commercial softw

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Gil-González, Walter, Oscar Danilo Montoya, and César Leonardo Trujillo-Rodríguez. "Optimal Integration of Flexible Alternating Current Transmission Systems in Electrical Distribution Grids Using a Mixed-Integer Convex Model." Algorithms 16, no. 9 (2023): 420. http://dx.doi.org/10.3390/a16090420.

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This research addresses the efficient integration and sizing of flexible alternating current transmission systems (FACTS) in electrical distribution networks via a convex optimization approach. The exact mixed-integer nonlinear programming (MINLP) model associated with FACTS siting and sizing aims for the minimization of the expected annual operating costs of the network (i.e., energy losses and FACTS purchasing costs). The constraints of this problem include power equilibrium equalities, voltage regulation bounds, and device capacities, among others. Due to the power equilibrium constraints p

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Montoya, Oscar Danilo, Federico Martin Serra, and Walter Gil-González. "A Robust Conic Programming Approximation to Design an EMS in Monopolar DC Networks with a High Penetration of PV Plants." Energies 16, no. 18 (2023): 6470. http://dx.doi.org/10.3390/en16186470.

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This research addresses the problem regarding the efficient operation of photovoltaic (PV) plants in monopolar direct current (DC) distribution networks from a perspective of convex optimization. PV plant operation is formulated as a nonlinear programming (NLP) problem while considering two single-objective functions: the minimization of the expected daily energy losses and the reduction in the expected CO2 emissions at the terminals of conventional generation systems. The NLP model that represents the energy management system (EMS) design is transformed into a convex optimization problem via

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An, Haiyun, Qian Zhou, Yongyong Jia, et al. "Benefit Evaluation of Carbon Reduction and Loss Reduction under a Coordinated Transportation–Electricity Network." World Electric Vehicle Journal 15, no. 1 (2024): 24. http://dx.doi.org/10.3390/wevj15010024.

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With the extensive promotion of new energy vehicles, the number of electric vehicles (EVs) in China has increased rapidly. Electric vehicles are densely parked in garages, which means parking garages contain a large amount of idle energy storage resources. How to make this idle energy storage in garages participate in power system dispatch and evaluate the network loss and system carbon emissions considering electric vehicle energy storage has become an important research topic. The uncertainty around parking habits for electric vehicles causes it to be difficult to predict compared with the t

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Sawhney, Abhinav, Federico Delfino, Barbara Bonvini, and Stefano Bracco. "EMS for Active and Reactive Power Management in a Polygeneration Microgrid Feeding a PED." Energies 17, no. 3 (2024): 610. http://dx.doi.org/10.3390/en17030610.

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Energy management systems (EMSs) play a central role in improving the performance of microgrids by ensuring their efficient operation while minimizing operational costs and environmental impacts. This paper presents a comprehensive study of mixed integer linear programming (MILP) based EMSs developed and implemented in MATLAB 2021a using YALMIP software for the energy management of a new positive energy district in the city of Savona, Italy, as part of the Interreg Alpine Space Project ALPGRIDS. The main objective of this research is to optimize the functioning of the microgrid, focusing on co

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Hathwalia, Shruthi, and Naresh Grover. "Novel Design of a Digital PLL for Power Reduction." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 07 (2022): 57–69. http://dx.doi.org/10.3991/ijoe.v18i07.30033.

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Very large-scale integration (VLSI) circuits operating at ultra-low power are currently acquiring more attention from the research group and the industries too. Recently, the performance of many applications depends on the size and energy consumption of sensor nodes. The energy efficient sensor nodes with reduced size are much preferred among applications such as wireless sensor networks, pollution and plant monitoring. The biggest challenge faced by the VLSI designers in present day life is designing a product of new generation which operates on minimum possible power. Power consideration is

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Fithoroini, Dayan. "TRADISI BUKA PINTU DALAM PERKAWINAN MASYARAKAT BANTEN: Studi terhadap Tradisi Ya Lail di Kampung Pakuncen Ciwedus, Cilegon." Al-Ahwal: Jurnal Hukum Keluarga Islam 13, no. 1 (2021): 23. http://dx.doi.org/10.14421/ahwal.2020.23-30.

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This article discusses about the tradition of yalil/yalail practiced in Kampung Pakuncen Cilegon Banten in the process of marriage celebration. It is a symbol of the beginning of family life. This tradition is conducted after marriage contract. The discussion concentrate on the meaning of the tradition among the society. Based on empirical research, this paper argues that the tradition of yalil is a symbol of the arrival of the first time the groom goes to the bride's house and the acceptance of the bride’s family to the groom. In Kampung Pakuncen, Ya lail tradition has important meaning for t

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Walianggen, Yos, and Alexander Rumatora. "REKONSTRUKSI ETNOTEKNOLOGI NOKEN KULIT POHON OLEH SUKU YALI DI KAMPUNG HUBAKMA KABUPATEN YALIMO." JURNAL KEHUTANAN PAPUASIA 2, no. 1 (2019): 17–23. http://dx.doi.org/10.46703/jurnalpapuasia.vol2.iss1.41.

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Tujuan penelitian ini adalah untuk mengetahui jenis pohon yang kulitnya dimanfaatkan sebagai bahan anyaman noken serta merekonstruksi proses pembuatannya. Metode deskriptif dengan teknik observasi lapangan dan wawancara semi struktural digunakan dalam penelitian ini. Hasil penelitian menunjukkan bahwa terdapat 7 jenis pohon yang kulitnya dimanfaatkan sebagai bahan anyaman noken yaitu: Ficus arfakensis, Ficus copyosa, Artocarpus altilis, Ficus elastica, Ficus sp., Gnetum gnemon dan Pipturus argenteus. Rekonstruksi pembuatan noken dimulai dari pengambilan bahan baku, pengupasan kulit, penjemuran

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Helakombo, Yemeus, Rosye H. R. Tanjung, and Suharno Suharno. "Etnobiologi Tumbuhan Sebagai Bahan Baku Tas Noken Oleh Suku Yali di Distrik Abenaho Kabupaten Yalimo, Papua." JURNAL BIOLOGI PAPUA 14, no. 2 (2022): 87–94. http://dx.doi.org/10.31957/jbp.2291.

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Noken is a typical Papuan bag or container made from plant organs such as bark, roots, etc. The purpose of this study was to determine the plant species used as raw materials for noken making in District of Abenaho, Yalimo Regency, Papua. The research conducted during the period of January–April 2021. The methods used were field surveys and interview. Observations were made in Hulhule Village, Abenaho District, and involving 60 respondents. The results showed that there were 8 types of plant species used as raw materials for making noken. Those were Boehmeria nivea, B. platylla, B. penduliflor

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ECE, Süreyya. "ÖRGÜTLERDEKİ YALNIZ KALPLER: YALNIZ ÇALIŞANLARIN SİNİK TUTUMLARI ÜZERİNDE ALGILA." Journal of Turkish Studies 14, Volume 14 Issue 2 (2019): 355–70. http://dx.doi.org/10.7827/turkishstudies.14406.

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