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Optimizing microgrid performance a multi-objective strategy for integrated energy management with hybrid sources and demand response. [PDF]
Sci RepMoosavi M, Olamaei J, Shourkaei HM.
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Recovery strategy of fault distribution network considering collaborative optimization of recovery and repair. [PDF]
PLoS OneTu N, Shi Y, Hao Y.
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Optimal Reactive Power Dispatch Optimization Using STATCOM
Journal of The Institution of Engineers (India): Series B, 2021Optimal Reactive Power Dispatch (ORPD) is an advanced function which determines the best possible set of control variables (optimal solutions). Power system operates optimally on these optimal solutions. The objective of the ORPD is to minimize the transmission line losses and improves the voltage profile of the power system.
Sandeep Bhongade, Aakash Tomar
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Optimal Reactive Power Dispatch Using SunFlower Algorithm
2021 International Conference on System Science and Engineering (ICSSE), 2021Optimal reactive power dispatch (ORPD) is one of the complicated problems in the power system operation since it optimizes a chosen objective while all power system constraints must be satisfied. Recently, many algorithms have been developed to solve the ORPD problem. This paper is applied a Sun Flower optimization (SFO) algorithm to solve ORPD problem
Van-Tuan Duong +3 more
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Optimal real and reactive power dispatch
Electric Power Systems Research, 1984Abstract This paper presents a method for optimal real and reactive power dispatch for the economic operation of power systems. As in other methods, the problem is decomposed into a P-optimization module and a Q-optimization module, but in this method both modules use the same generation cost objective function.
K.Y. Lee, Y.M. Park, J.L. Ortiz
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Security constrained optimal reactive power dispatch
Electric Power Systems Research, 1989Abstract This paper presents a systematic methodology to allocate reactive power devices in a power system. This is achieved through the application of an active set analysis based linear programming technique. The procedure takes into consideration outages which cause voltage problems and also existing reactive power controllers are fully utilized ...
Venkataramana Ajjarapu +2 more
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Chance Constrained Optimal Reactive Power Dispatch
2018 IEEE Power & Energy Society General Meeting (PESGM), 2018The uncertainties from deepening penetration of renewable energy resources have already shown to impact not only the market operations, but also the physical operations in large power systems. It is demonstrated that deterministic modeling of wind would lead to voltage insecurity in the reality where wind fluctuates.
Xinbo Geng, Le Xie, Diran Obadina
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Collaborative optimization of economic dispatch and reactive power dispatch
2019 Chinese Control Conference (CCC), 2019Economic dispatch and reactive power dispatch are two important tasks in power systems, which respectively concern the economy and environmental friendliness and the safety and reliability of grid operation. Essentially different from the related literature with separately solving the two dispatches, this paper is devoted to collaboratively optimizing ...
Jiaxin Liu +4 more
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Particle Swarm Optimization Based Optimal Reactive Power Dispatch
2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2015Optimal reactive power dispatch is one of the major and important optimization problem in electrical power system operation and control. This is nothing but multi objectives, nonlinear, minimization problem of power system optimization. This paper focuses on this sub problem of optimal power flow.
Sundaram Pandya, Ranjit Roy
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Seeker Optimization Algorithm for Optimal Reactive Power Dispatch
IEEE Transactions on Power Systems, 2009Optimal reactive power dispatch problem in power systems has thrown a growing influence on secure and economical operation of power systems. However, this issue is well known as a nonlinear, multimodal and mixed-variable problem. In the last decades, computation intelligence-based techniques, such as genetic algorithms (GAs), differential evolution (DE)
null Chaohua Dai +3 more
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