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Journal articles on the topic 'Optimal power dispatch'

Author: Grafiati

Published: 23 September 2022

Last updated: 25 July 2025

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1

Sahoo, Abhilipsa, Prakash Kumar Hota, Preeti Ranjan Sahu, Faisal Alsaif, Sager Alsulamy, and Taha Selim Ustun. "Optimal Congestion Management with FACTS Devices for Optimal Power Dispatch in the Deregulated Electricity Market." Axioms 12, no. 7 (2023): 614. http://dx.doi.org/10.3390/axioms12070614.

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A deregulated electricity market provides open access to all market players. In an open-access power market, the system operator is responsible for ensuring that all contracted power is dispatched. However, if this results in line flows that exceed their acceptable range, then it could threaten the system’s security. Therefore, the system operator checks for congestion as the line flow exceeds its limit. For congestion management, the system operator applies different curtailment strategies to limit the requested transaction. Therefore, in this work, an optimal power dispatch model has been pr

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Wu, MeiRong, Fei Xue, Yong Ren, and Feng Li. "Two-stage dispatch optimal model of virtual power plant considering pumped storage." Journal of Physics: Conference Series 2584, no. 1 (2023): 012061. http://dx.doi.org/10.1088/1742-6596/2584/1/012061.

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Abstract When virtual power plant (VPP) participates in power grid dispatch, it not only faces the problem of market bidding but also has the security and stability problems of voltage, frequency, power flow, and so on. The optimal dispatch strategy of VPP, which participates in a hybrid market, is proposed. The two-stage optimal model is established. An economic dispatch optimal model based on robust control and stochastic linear programming is established to maximize the profit of VPP. Aiming to minimize the difference between the output power of each distribution energy resource and the opt

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3

Dhillon, J. S., S. C. Parti, and D. P. Kothari. "Multiobjective optimal thermal power dispatch." International Journal of Electrical Power & Energy Systems 16, no. 6 (1994): 383–89. http://dx.doi.org/10.1016/0142-0615(94)90025-6.

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4

Xu, Min, Yan Cui, Tao Wang, Yaozhong Zhang, Yan Guo, and Xiaoying Zhang. "Optimal Dispatch of Wind Power, Photovoltaic Power, Concentrating Solar Power, and Thermal Power in Case of Uncertain Output." Energies 15, no. 21 (2022): 8215. http://dx.doi.org/10.3390/en15218215.

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The integration of large-scale wind and photovoltaic power into modern power grids leads to an imbalance between the supply and demand for resources of the system, where this threatens the safety and stable operation of the grid. The traditional mode of grid dispatch and the capability of regulation of conventional thermal power units cannot satisfy the demands of grid connection for large-scale renewable energy, where the system requires the compensation and coordinated dispatch of flexible power sources. In light of this problem, this paper establishes a model to quantify the uncertainty in

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5

Moreno, Ricardo, Johan Obando, and Gabriel Gonzalez. "An integrated OPF dispatching model with wind power and demand response for day-ahead markets." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2794. http://dx.doi.org/10.11591/ijece.v9i4.pp2794-2802.

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In the day-ahead dispatching of network-constrained electricity markets, renewable energy and distributed resources are dispatched together with conventional generation. The uncertainty and volatility associated to renewable resources represents a new paradigm to be faced for power system operation. Moreover, in various electricity markets there are mechanisms to allow the demand participation through demand response (DR) strategies. Under operational and economic restrictions, the operator each day, or even in intra-day markets, dispatchs an optimal power flow to find a feasible state of oper

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Ricardo, Moreno, Obando Johan, and Gonzalez Gabriel. "An integrated OPF dispatching model with wind power and demand response for day-ahead markets." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2794–802. https://doi.org/10.11591/ijece.v9i4.pp2794-2802.

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In the day-ahead dispatching of network-constrained electricity markets, renewable energy and distributed resources are dispatched together with conventional generation. The uncertainty and volatility associated to renewable resources represents a new paradigm to be faced for power system operation. Moreover, in various electricity markets there are mechanisms to allow the demand participation through demand response (DR) strategies. Under operational and economic restrictions, the operator each day, or even in intra-day markets, dispatchs an optimal power flow to find a feasible state of oper

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7

Saket, Saurabh, Irfan Ahmed Md, and Soni Pallavi. "OPTIMAL POWER SYSTEM ANALYSIS USING MATLAB." International Journal of Multidisciplinary Research and Modern Education 3, no. 1 (2017): 432–36. https://doi.org/10.5281/zenodo.801806.

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Power disaster is one of the most important issues of concern all over the world today. The production is not enough to meet the demands of customers. Under these conditions the power system should be efficient in Economic Load Dispatch which minimizes the total generating price. This Work shows the optimal system Operation using MATLAB. The Optimal economic operation of their electric networks while considering the challenges of increasing fuel costs and increasing demand for electricity. The economic dispatch (ED) occupies significant position in a power system’s operation and control. The p

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Chamba, Alex, Carlos Barrera-Singaña, and Hugo Arcos. "Optimal Reactive Power Dispatch in Electric Transmission Systems Using the Multi-Agent Model with Volt-VAR Control." Energies 16, no. 13 (2023): 5004. http://dx.doi.org/10.3390/en16135004.

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The optimal dispatch of reactive power is a fundamental task in the operational planning of electrical power systems. This task aims to minimize active power losses and improve voltage levels within the electrical power system. This paper presents the application of the particle swarm optimization methodology to achieve optimal reactive power dispatch. The methodology’s performance is demonstrated by its high processing speed and the results obtained through a comprehensive global search for reactive power dispatch. Additionally, experimental results confirm the algorithm’s effectiveness in op

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9

Ajjarapu, Venkataramana, J. Carr, and R. S. Ramshaw. "Security constrained optimal reactive power dispatch." Electric Power Systems Research 16, no. 3 (1989): 209–16. http://dx.doi.org/10.1016/0378-7796(89)90013-8.

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10

Fikri Ruslan, Nabil, Ismail Musirin, Mohamad Khairuzzaman Mohamad Zamani, et al. "Power Tracing Monitoring incorporating Optimal Reactive Power Dispatch." International Journal of Engineering & Technology 7, no. 3.15 (2018): 1. http://dx.doi.org/10.14419/ijet.v7i3.15.17394.

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General power flow studies do not manage to trace the contributors by generators on power losses in the whole power transmission system. Thus, power tracing approach is utilized to address this issue. Power tracing is a termed used to describe the contributors for the power losses dissipated on the transmission line. The traditional technique made use the knowledge of circuit analysis such as cut set theory. However, there was no element of optimization which can help to achieve the optimal solution. This paper presents the power tracing monitoring during voltage stability improvement process,

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11

M, Lakshmi, and Ramesh Kumar A. "Optimal Reactive Power Dispatch using Crow Search Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1423. http://dx.doi.org/10.11591/ijece.v8i3.pp1423-1431.

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<p>The optimal reactive power dispatch is a kind of optimization problem that plays a very important role in the operation and control of the power system. This work presents a meta-heuristic based approach to solve the optimal reactive power dispatch problem. The proposed approach employs Crow Search algorithm to find the values for optimal setting of optimal reactive power dispatch control variables. The proposed way of approach is scrutinized and further being tested on the standard IEEE 30-bus, 57-bus and 118-bus test system with different objectives which includes the minimization o

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12

Lakshmi, M., and Kumar A. Ramesh. "Optimal Reactive Power Dispatch using Crow Search Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1423–31. https://doi.org/10.11591/ijece.v8i3.pp1423-1431.

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The optimal reactive power dispatch is a kind of optimization problem that plays a very important role in the operation and control of the power system. This work presents a meta-heuristic based approach to solve the optimal reactive power dispatch problem. The proposed approach employs Crow Search algorithm to find the values for optimal setting of optimal reactive power dispatch control variables. The proposed way of approach is scrutinized and further being tested on the standard IEEE 30-bus, 57-bus and 118-bus test system with different objectives which includes the minimization of real po

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13

Wang, Zongjie, and C. Lindsay Anderson. "A Progressive Period Optimal Power Flow for Systems with High Penetration of Variable Renewable Energy Sources." Energies 14, no. 10 (2021): 2815. http://dx.doi.org/10.3390/en14102815.

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Renewable energy sources including wind farms and solar sites, have been rapidly integrated within power systems for economic and environmental reasons. Unfortunately, many renewable energy sources suffer from variability and uncertainty, which may jeopardize security and stability of the power system. To face this challenge, it is necessary to develop new methods to manage increasing supply-side uncertainty within operational strategies. In modern power system operations, the optimal power flow (OPF) is essential to all stages of the system operational horizon; underlying both day-ahead sched

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14

Hong, Peizhao, and Zhijun Qin. "Distributed Active Power Optimal Dispatching of Wind Farm Cluster Considering Wind Power Uncertainty." Energies 15, no. 7 (2022): 2706. http://dx.doi.org/10.3390/en15072706.

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With the large-scale volatility and uncertainty of the centralized grid connection of wind power, the dimensionality disaster problem of wind farm cluster (WFC) scheduling optimization calculation becomes more and more significant. In view of these challenges, a distributed active power optimal dispatch model for WFC based on the alternating direction multiplier method (ADMM) is proposed, and the analytical description of the distribution characteristics of the active power output of wind farms is introduced into the proposed model. Firstly, based on the wake effect, the Weibull distribution o

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15

Kim, Kwang-Ki K. "Distributed Learning Algorithms and Lossless Convex Relaxation for Economic Dispatch with Transmission Losses and Capacity Limits." Mathematical Problems in Engineering 2019 (June 13, 2019): 1–11. http://dx.doi.org/10.1155/2019/9159851.

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This paper considers problems of economic dispatch in power networks that contain independent power generation units and loads. For efficient distributed economic dispatch, we present a mechanism of multiagent learning in which each agent corresponding to a generation unit updates the power generation based on the received information from the neighborhood. The convergence of the proposed distributed learning algorithm to the global optimal solution is analyzed. Another method of distributed economic dispatch we propose is a decentralized iterative linear projection method in which the necessa

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16

Panthagani, Pradeep, and R. Srinivasa Rao. "Pareto-based allocations of multi-type flexible AC transmission system devices for optimal reactive power dispatch using Kinetic Gas Molecule Optimization algorithm." Measurement and Control 53, no. 1-2 (2020): 239–49. http://dx.doi.org/10.1177/0020294019866857.

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Optimal reactive power dispatch is one of the key factors to attain cost-effective and stable functioning of power system. It is a complicated non-linear optimization issue with a combination of discrete and continuous control variables. Due to this complex feature of optimal reactive power dispatch, optimization technique has become an efficient method to solve this problem. In this work, Kinetic Gas Molecule Optimization algorithm with Pareto optimality is proposed for solving multi-objective optimal reactive power dispatch problem. The presentation of Kinetic Gas Molecule Optimization is im

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17

Peng, Lai. "Optimal Dispatch in Power Systems with Intermittent Power Sources." Computational Water, Energy, and Environmental Engineering 09, no. 04 (2020): 101–7. http://dx.doi.org/10.4236/cweee.2020.94008.

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18

Wu, Q. H., and J. T. Ma. "Power system optimal reactive power dispatch using evolutionary programming." IEEE Transactions on Power Systems 10, no. 3 (1995): 1243–49. http://dx.doi.org/10.1109/59.466531.

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19

Cheng, Tingli, Minyou Chen, Yingxiang Wang, et al. "Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage." Complexity 2018 (June 26, 2018): 1–13. http://dx.doi.org/10.1155/2018/2517987.

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In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-ti

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20

Wang, Shuang, Hong Ming Yang, Shuang Zuo, Wen Jun Xu, and Bin Zhang. "Stochastic Optimal Dispatch of Power System with Multiple Wind Farms." Advanced Materials Research 143-144 (October 2010): 414–18. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.414.

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Wind power at different locations may has a significant degree of correlation. A copula function, in this paper, is employed to characterize the Joint Probability Distribution (JPD) of wind power from multiple wind farms considering their correlation. Based on this, an optimal dispatch model of power system with multiple wind farms is proposed based on Chance Constrained Programming (CCP) to describe the randomness of wind power. And a new method named Sample Average Approximation (SAA) is used to transform the chance constrians in CCP. Finally the Particle Swarm Optimization (PSO) is used to

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21

Bhongade, Sandeep, and Aakash Tomar. "Optimal Reactive Power Dispatch Optimization Using STATCOM." Journal of The Institution of Engineers (India): Series B 102, no. 2 (2021): 277–93. http://dx.doi.org/10.1007/s40031-021-00537-1.

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22

Loriya, Vismay, and Vishnu Patel. "A Review on Optimal Reactive Power Dispatch." IJIREEICE 4, no. 1 (2016): 83–87. http://dx.doi.org/10.17148/ijireeice.2016.4120.

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23

Preedavichit, Preecha, and S. C. Srivastava. "Optimal reactive power dispatch considering FACTS devices." Electric Power Systems Research 46, no. 3 (1998): 251–57. http://dx.doi.org/10.1016/s0378-7796(98)00075-3.

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24

Henao-Muñoz, Andrés, Andrés Saavedra-Montes, and Carlos Ramos-Paja. "Optimal Power Dispatch of Small-Scale Standalone Microgrid Located in Colombian Territory." Energies 11, no. 7 (2018): 1877. http://dx.doi.org/10.3390/en11071877.

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An optimal power dispatch of a small-scale standalone microgrid for remote area power supply in Colombian territory is proposed in this paper. The power dispatch is generated by an energy management system based on a mixed-integer linear programming, which minimizes the cost of operating the microgrid while fulfilling the technical constraints of its elements. The energy management system solves an optimization problem using the algebraic representation of the generators and its constraints. Basic steady-state models of the generators are selected to solve the optimization problem. The small-s

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Zhang, Yong Xi, Hong Ming Yang, Zhao Yang Dong, and Ming Yong Lai. "Stochastic Optimal Dispatch of Power System under Extreme Weather Disaster." Applied Mechanics and Materials 37-38 (November 2010): 1219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.1219.

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Several large scale failures of power system took place due to extreme weather disaster recent years, which aroused the consideration of power network security operation. Considering that the line failure events caused by natural disaster presented random characteristic, using Poisson distribution theory to depict the probability of line failure, a stochastic power system optimal dispatch model based on chance constraints theory was also proposed. We adopted the Differential Evolution algorithm to calculate the total loss based on Monte-Carlo simulation. The results of IEEE 9-bus case study im

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Xingli and Ning. "Multi-Agent Consensus Algorithm-Based Optimal Power Dispatch for Islanded Multi-Microgrids." Processes 7, no. 10 (2019): 679. http://dx.doi.org/10.3390/pr7100679.

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Islanded multi-microgrids formed by interconnections of microgrids will be conducive to the improvement of system economic efficiency and supply reliability. Due to the lack of support from a main grid, the requirement of real-time power balance of the islanded multi-microgrid is relatively high. In order to solve real-time dispatch problems in an island multi-microgrid system, a real-time cooperative power dispatch framework is proposed by using the multi-agent consensus algorithm. On this basis, a regulation cost model for the microgrid is developed. Then a consensus algorithm of power dispa

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Sun, Yi, Xue Liang Huang, Zhong Chen, Hao Qiang, and Qi Dong Zhang. "Multiple Time-Scale Collaborative Optimal Dispatch Methods for Electric Vehicles and Wind Power." Applied Mechanics and Materials 472 (January 2014): 958–64. http://dx.doi.org/10.4028/www.scientific.net/amm.472.958.

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Renewable energy, especially wind power has the characteristic of fluctuation. Improving its capacity integrated into grid is a difficult task. Electric vehicle which has few greenhouse gas emissions is developing rapidly. But it will be noneffective to reduce greenhouse gas emission if using traditional energy to charge electric vehicles. Taking into account the synergies between electric vehicle and wind power, the multiple time-scale optimal dispatch methods were proposed based on traditional day-ahead generation schedule. The effects of optimal dispatch on reducing abandoned wind power, le

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Xu, D., and L. Kang. "Optimal Dispatch of Unreliable Electric Grid-Connected Diesel Generator-Battery Power Systems." International Journal of Emerging Electric Power Systems 16, no. 3 (2015): 253–63. http://dx.doi.org/10.1515/ijeeps-2014-0130.

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Abstract Diesel generator (DG)-battery power systems are often adopted by telecom operators, especially in semi-urban and rural areas of developing countries. Unreliable electric grids (UEG), which have frequent and lengthy outages, are peculiar to these regions. DG-UEG-battery power system is an important kind of hybrid power system. System dispatch is one of the key factors to hybrid power system integration. In this paper, the system dispatch of a DG-UEG-lead acid battery power system is studied with the UEG of relatively ample electricity in Central African Republic (CAR) and UEG of poor e

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Rosli, Hazwani Mohd, Syahirah Abd Halim, Lilik Jamilatul Awalin, and Seri Mastura Mustaza. "Economic-emission load dispatch for power system operation using enhanced sunflower optimization." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 1. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp1-10.

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Conventional thermal power plant uses limited sources of gas, fuel or coal which contributes to the rise of air pollution. Thus, it is crucial to efficiently use the natural sources and minimize the emissions of greenhouse gases and other pollutants. This paper presents an optimal economic dispatch considering three factors which are cost of generation, loss of power transmission and amount of emission for an efficient operation of power generation. Enhanced sunflower optimization (ESFO) algorithm is applied to determine the solution for three different cases: economic load dispatch, emission

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Rosli, Hazwani Mohd, Syahirah Abd Halim, Lilik Jamilatul Awalin, and Seri Mastura Mustaza. "Economic-emission load dispatch for power system operation using enhanced sunflower optimization." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 1–10. https://doi.org/10.11591/ijeecs.v27.i1.pp1-10.

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Conventional thermal power plant uses limited sources of gas, fuel or coal which contributes to the rise of air pollution. Thus, it is crucial to efficiently use the natural sources and minimize the emissions of greenhouse gases and other pollutants. This paper presents an optimal economic dispatch considering three factors which are cost of generation, loss of power transmission and amount of emission for an efficient operation of power generation. Enhanced sunflower optimization (ESFO) algorithm is applied to determine the solution for three different cases: economic load dispatch, emission

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31

Shulzhenko, S. V. "Optimal generation dispatch with wind and solar curtailment." Problems of General Energy 2020, no. 4 (2020): 14–32. http://dx.doi.org/10.15407/pge2020.04.014.

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To solve the actual task of finding optimal generation mix and dispatch of thermal and nuclear power units, and hydro units of hydro pumped storages of Ukraine to cover day load power profile according to one of possible wind and solar generation curtailment mode the modification of mathematical MIP model is proposed. There are three modes of wind and solar generation curtailment revised in the article: 1) absolute maximum generation curtailment, 2) single for whole day decreased load factor, and 3) one per one hour decreased load factor. The possibility to allocate an exogenously determined l

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Zhu, Xin Chao, and Hong Bin Wu. "Research on Optimal Allocation of Microgrid System Based on Two Layers of Coordinated Dispatch." Advanced Materials Research 1070-1072 (December 2014): 819–22. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.819.

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In the process of the optimal allocation of microgrid system, two layers of coordinated dispatch strategies has been used in this paper. In the first layer, diesel generators and batteries are coordinated dispatched each other. The diesel generators begin to work before state of charge (SOC) of batteries reaches the lower limit. In the second layer, the power of batteries and super capacitors are distributed based on the dynamic characteristics of the hybrid energy storage system. Based on the coordinated dispatch strategies, the optimization models of DGs in microgrid system are constructed w

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Saravanan, R., S. Subramanian, V. Dharmalingam, and S. Ganesan. "Particle Swarm Optimization for the Optimal Wind–Thermal Coordination." International Journal of Advance Research and Innovation 4, no. 4 (2016): 111–16. http://dx.doi.org/10.51976/ijari.441620.

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The Economic Dispatch is an important optimization task in power system. Thermal power plants are the major electrical energy producers. Need for renewable energy occurs due to the extinction of fossil fuels. Hence, it is necessary to operate these renewable plants with the thermal plants. In India, especially in Tamil N adu, Wind is the renewable plant which is widely available. The problem with the wind plant is its unpredictability. Hence, better wind thermal coordination economic dispatch method is necessary to integrate wind power reliably and efficiently. In this paper, Particle swarm op

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Revaskar, Komal R. "ADVANCE OPTIMAZIATION METHOD FOR OPTIMAL LOAD DISPATCH." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02636.

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Optimal Power Dispatch (OPD) is an essential operation in modern power systems to ensure economical and reliable electricity supply while minimizing environmental impact. This paper proposes the application of the BAT Algorithm, a nature-inspired metaheuristic technique, to solve the OPD problem effectively. The algorithm is designed to minimize fuel cost and emissions while satisfying constraints such as power balance, generation limits, voltage boundaries, and line capacities. The formulation integrates single and multi-objective functions. The methodology includes problem modeling, algorith

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Leon, Luis M., Arturo S. Bretas, and Sergio Rivera. "Quadratically Constrained Quadratic Programming Formulation of Contingency Constrained Optimal Power Flow with Photovoltaic Generation." Energies 13, no. 13 (2020): 3310. http://dx.doi.org/10.3390/en13133310.

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Contingency Constrained Optimal Power Flow (CCOPF) differs from traditional Optimal Power Flow (OPF) because its generation dispatch is planned to work with state variables between constraint limits, considering a specific contingency. When it is not desired to have changes in the power dispatch after the contingency occurs, the CCOPF is studied with a preventive perspective, whereas when the contingency occurs and the power dispatch needs to change to operate the system between limits in the post-contingency state, the problem is studied with a corrective perspective. As current power system

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Anyaka, Boniface O., J. Felix Manirakiza, Kenneth C. Chike, and Prince A. Okoro. "Optimal unit commitment of a power plant using particle swarm optimization approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1135. http://dx.doi.org/10.11591/ijece.v10i2.pp1135-1141.

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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses were assumed to be included into the load supplied. Also three different combinations in the form of 6, 5 and 4 units commitment were considered. In each case, the total load was optimally dispatched between committed generating units using Particle Swarm Optimization (PSO). Similarly, the generation cost for each generating u

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Boniface, O. Anyaka, Felix Manirakiza J., C. Chike Kenneth., and A. Okoro Prince. "Optimal unit commitment of a power plant using particle swarm optimization approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1135–141. https://doi.org/10.11591/ijece.v10i2.pp1135-1141.

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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses were assumed to be included into the load supplied. Also, three different combinations in the form of 6, 5- and 4-units commitment were considered. In each case, the total load was optimally dispatched between committed generating units using Particle Swarm Optimization (PSO). Similarly, the generation cost for each generating

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Zhuo, Yixin, Lin Li, Jian Tang, et al. "Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather." Mathematical Biosciences and Engineering 20, no. 8 (2023): 14353–76. http://dx.doi.org/10.3934/mbe.2023642.

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<abstract> <p>With breakthroughs in the power electronics industry, the stability and rapid power regulation of wind power generation have been improved. Its power generation technology is becoming more and more mature. However, there are still weaknesses in the operation and control of power systems under the influence of extreme weather events, especially in real-time power dispatch. To optimally distribute the power of the regulation resources in a more stable manner, a wind energy forecasting-based power dispatch model with time-control intervals optimization is proposed. In th

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Zhou, Xiaojun, Jianpeng Long, Chongchong Xu, and Guanbo Jia. "An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch." Complexity 2019 (January 3, 2019): 1–11. http://dx.doi.org/10.1155/2019/4727168.

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This paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current density schedule to minimize the cost of power consumption with some rigorous technology and production constraints. The current density of each production equipment in different power stages is restricted by technology and production requirements. In addition, electricity price and current density

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Zhang, Li Xiao, Wen Tan, and Xiao Bin Huang. "Optimized Load Distributed of Power Plant Units Based on Branch and Bound Method." Applied Mechanics and Materials 239-240 (December 2012): 1565–69. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1565.

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Power consumption is increasing significantly with the rapid economic development. In order to improve the competitiveness of thermal power plants, the problem of units' optimal load dispatch becomes a hot topic of the research about reducing coal consumption. The branch and bound method is presented to solve the problem based on a load dispatch model with velocity constraint in this paper. Branch can create the conditions for the optimal solution of unit load distribution, bound can improve the search efficiency of the optimal solution [1]. Through the computational Simulation, it proves the

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Jan, Zaineb Nisar, and Dr Satish Saini. "Economic Load Dispatch Using Computational Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 831–34. http://dx.doi.org/10.22214/ijraset.2022.47977.

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Abstract: This research paper introduces the importance of economic dispatch in a power system. Economic dispatch was the method used in allocating the output power of each generator to achieve the optimal dispatch to reduce fuel cost to the minimum. The research paper discusses how the economic dispatch problem can be solved by using the methods of Particle Swarm Optimization (PSO) and Lambda Iteration (LI). These methods were applied in IEEE-30 busses systems. The system was tested on a few loads demands to find out the total fuel cost, power losses, and computational time.

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Li, Xueping, and Ziyang Wang. "A Cloud-Edge Computing Method for Integrated Electricity-Gas System Dispatch." Processes 11, no. 8 (2023): 2299. http://dx.doi.org/10.3390/pr11082299.

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An integrated electric–gas system (IEGS) is the manifestation and development direction of a modern smart power system. This paper employs the cloud-edge computing method to research IEGS’s optimal dispatch to satisfy data protection requirements between power systems and natural gas systems and reduce data transmission pressure. Based on cloud-edge computing architecture, this paper constructs a cloud-edge computing method based on the Multi-agent Deep Deterministic Policy Gradient (MADDPG) algorithm to solve optimal dispatch problems. Then, this paper proposes an IEGS dispatch strategy based

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Liang, Zhifeng, Dayan Sun, Ershun Du, and Yuchen Fang. "Event-Driven Day-Ahead and Intra-Day Optimal Dispatch Strategy for Sustainable Operation of Power Systems Considering Major Weather Events." Processes 12, no. 4 (2024): 840. http://dx.doi.org/10.3390/pr12040840.

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As the proportion of renewable energy installations in modern power systems increases, major weather events can easily trigger significant fluctuations in new energy generation and electricity load, presenting the system with the dual challenges of ensuring power supply and renewable energy consumption. Traditional dispatch models need more coordination and optimization of flexible resources under major weather events and risk management of system operations. This study focuses on provincial-level transmission systems, aiming to achieve the coordinated and optimized dispatch of flexible resour

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Zhang, Ning, Nien-Che Yang, and Jian-Hong Liu. "Optimal Time-of-Use Electricity Price for a Microgrid System Considering Profit of Power Company and Demand Users." Energies 14, no. 19 (2021): 6333. http://dx.doi.org/10.3390/en14196333.

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With high proportions of renewable energy generation in power systems, the power system dispatch with renewable energy generation has currently become a popular research direction. In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic (PV) generator, and an energy storage system to optimize the time-of-use (TOU) electricity price. The objective of the proposed multi-objective dispatch model is to maximize the profit of the power company and demand users, and minimize the proportion of users abandoning PV power and wind power.

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Noorpi, N. S., Y. L. Lee, A. H. Hana, Melaty Amirruddin, and M. M. Nurhakimah. "Power Line Losses of Energy for Power System with Micro-Grid Implementation." Applied Mechanics and Materials 793 (September 2015): 75–79. http://dx.doi.org/10.4028/www.scientific.net/amm.793.75.

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Micro-grid system is an integrated energy system as it consists of distributed energy resources (DERs) and multiple electrical loads operating in parallel or islanded grid. The primary objective of this project is to examine whether Micro-grid implementation can reduce the cost of energy. It can be determined through the modelling bus bar system; 26-Bus Test System. This application can be divided into three aspects which are modelling, simulation and analysis. The power system analysis was conducted under two conditions, steady state condition and contingencies condition using two different m

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F. Aswan, N., M. N. Abdullah, and A. H. Abu Bakar. "A review of combined economic emission dispatch for optimal power dispatch with renewable energy." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 33. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp33-40.

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This paper provides comprehensive review of recent formulation and solution of combined economic emission dispatch problem considering renewable energy. Generally, power dispatch plays an important role in power generation system that mainly depends on the fossil fuels. Rapid depletion of these sources cause a limitation and increase the fuel price. At the same time, the poisonous gases emit by the thermal generator causes a long term environmental pollution. An extensive researches have been conducted for last few decades by considering Renewable Energy (RE) in power generation system as an a

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Chen, Chunlong, Xueshan Han, and Wenbo Li. "Combined Heat and Power Optimal Dispatch Considering Wind Power Uncertainty." Journal of Physics: Conference Series 1187, no. 2 (2019): 022047. http://dx.doi.org/10.1088/1742-6596/1187/2/022047.

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Rodrigues, Luis, Tiago Soares, Igor Rezende, João Fontoura, and Vladimiro Miranda. "Virtual power plant optimal dispatch considering power-to-hydrogen systems." International Journal of Hydrogen Energy 68 (May 2024): 1019–32. http://dx.doi.org/10.1016/j.ijhydene.2024.04.307.

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Wang, Shuang, Hong Ming Yang, Shuang Zuo, and Wen Jun Xu. "Optimal Dispatch of Power System with Stochastic Wind Generation." Applied Mechanics and Materials 37-38 (November 2010): 783–86. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.783.

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Large-scale wind power incorporated into power grid brings new challenges to optimal dispatch of power system. Especially, wind power at different locations may has a significant degree of correlation. A copula function was used to characterize the Joint Probability Distribution (JPD) of wind power from multiple wind farms considering their correlation. An optimal dispatch model based on Chance Constrained Programming (CCP) for power system with multiple wind farms was set up. And Sample Average Approximation (SAA) was proposed to transform the chance constrains. Finally Genetic Algorithm (GA)

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Gao, Ren, Juebo Wu, Wen Hu, and Yun Zhang. "An Improved ABC Algorithm for Energy Management of Microgrid." International Journal of Computers Communications & Control 13, no. 4 (2018): 477–91. http://dx.doi.org/10.15837/ijccc.2018.4.3143.

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Microgrids are an ideal way of electricity generation, distribution, and regulation for customers by means of distributed energy resources on the community level. However, due to the randomness of photovoltaic and wind power generation, it is a crucial and difficult problem to achieve optimal economic dispatch in microgrids. In this paper, we present an optimal economic dispatch solution for a microgrid by the improved artificial bee colony (ABC) optimization, with the aim of satisfying load and balance demand while minimizing the cost of power generation and gas emission. Firstly, we construc

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