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Application of virus particle swarm optimization algorithm in economic operation of hydropower station

机译:病毒粒子群优化算法在水电站经济运行中的应用

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The virus particle swarm optimization algorithm (VPSO), which integrates the virus evolutionary mechanism into the particle swarm algorithm (PSO), is presented in this paper. Host population and virus population are generated during the evolution. The former transmits genetic information between the different generations which is the same as PSO and the latter carries out the infection operation in the same generation through transcription and reverse transcription. VPSO can effectively inhibit the “premature” phenomenon of particle and accelerate the speed of convergence. A case study is adopted to show that the VPSO algorithm can provide a new way to solve the economic operation of power system.
机译:提出了将病毒进化机制整合到粒子群算法(PSO)中的病毒粒子群优化算法(VPSO)。宿主种群和病毒种群在进化过程中产生。前者在不同世代之间传递遗传信息,与PSO相同,后者通过转录和反转录在同一世代中进行感染操作。 VPSO可以有效地抑制粒子的“过早”现象,并加快收敛速度​​。通过实例研究表明,VPSO算法可以为解决电力系统的经济运行提供新的途径。

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