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- W3118323786 abstract "Voltage and reactive power control (VRPC) is one of Mixed Integer Nonlinear Programming (MINLP) problems. Evolutionary computation (EC) based VRPC methods have been developed for solving VRPC problems. Since VRPC is an online control, it is necessary to solve a VRPC problem in a limited VRPC interval. Recently, high level of renewable energy penetration and progress of deregulation in power systems require to shorten the VRPC interval and to solve a large-scale VRPC problem in the VRPC interval. Namely, Fast calculation is required in VRPC. Application of parallel and distributed computing (PDC) is a practical option for solving this challenge. However, since power system is a social infrastructure, a dependable method is required for keeping quality of solutions even if several servers cannot return the calculation results due to various faults. When PDC is applied to an EC method using multi-population (MP), there are two ways for realization of parallel computation, namely subpopulation based parallel multi-population (PMP) and individual based PMP. No papers have ever compared the two methods from a dependability point of view. This paper presents comparative evaluation of dependability for VRPC by modified brain storm optimization (MBSO) using the individual and the sub-population based PMP. Simulation results with an IEEE 118 bus bench mark system indicate higher dependability of the method using the individual based PMP than the method using sub-population based PMP." @default.
- W3118323786 created "2021-01-18" @default.
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- W3118323786 date "2020-12-01" @default.
- W3118323786 modified "2023-09-27" @default.
- W3118323786 title "Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population" @default.
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- W3118323786 doi "https://doi.org/10.1109/ssci47803.2020.9308416" @default.
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