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Dynamic Bacterial foraging algorithmOptimal power flow (OPF) problem has already been attempted as a static optimization problem, by adopting conventional gradient-based methods and more recently, no conventional ones, such as evolutionary algorithms. However, as the loads, generation capacities and ...
(2019). A matrix formulation for optimal power flow considering control variables in multi-area power systems. International Journal of Electrical Power & Energy Systems, 105, 133-142. [3] Haldar, S., Sarker, A., & Ray, T. (2019). An improved optimal power flow algorithm for power ...
An optimal power flow algorithm by a nonlinear interior point method is provided to calculate optimal values for parameters of a dynamic model of a system element. An optimal power flow algorithm by a nonlinear interior point method includes the steps of: calculating an initial power flow to dete...
This paper presents an enhanced genetic algorithm for the solution of the optimal power flow with both continuous and discrete control variables. The continuous control variables modeled are unit active power outputs and generator-bus voltage magnitudes, while the discrete ones are transformer-tap settin...
Optimal Power Flow Using TS Algorithm 475 Figure 1. The computational ow of TS algorithm. The technique was tested for several initial solutions. Di? erent initial solutions are generated by changing the seed of the random number generator. The variations of the objective function with di? erent...
flow; multi—objectivefuzzyoptimization;immuneclonalchaotic optimizationalgorithm 摘要:对传统最优潮流模型做了改进,提出了基于模糊理论 和多目标优化理论的最优潮流模型,综合考虑了网损量最小 和有功、无功购电费用最低3个目标;将免疫克隆算法和变 尺度混沌搜索方法有机地结合起来,形成了免疫克隆混沌优 ...
This article presents a simple, effective, and reliable refined genetic algorithm (RGA) for solving the optimal power flow (OPF) problem. This genetic algorithm with the exponential variation of crossover probability, mutation probability, anddynamic hierarchy of the coding system has the ability to...
This paper presents application of a new effective metaheuristic optimization method namely, the Jaya algorithm to deal with different optimum power flow (OPF) problems. Unlike other population-based optimization methods, no algorithm-particular controlling parameters are required for this algorithm. In th...
Optimal Power Flow (OPF) problem is an important operational problem in power systems with a goal of optimizing one or more chosen objectives through adjusting certain control parameters. The most valuable player algorithm (MVPA) is a population based approach, inspired from the behaviour of players...