CAJ | 학술논문

为了快速有效地求解电力系统无功优化问题，提出了一种分布式并行计算的遗传算法。它采用主从方式来组织局域网内的多台机器进行并行计算——由1台主机进行选择和遗传操作，并根据负荷均衡的原则调度多台从机计算潮流以给出个体适应值。根据无功优化的特点，为了增加算法并行度，就编码方案、基于多目标函数的适应度求解和遗传操作等方面对遗传算法进行了详尽的设计。文中还着重分析了并行处理效率的相关问题。算例表明该方法不仅取得了较好的优化效果，而且显著地提高了计算速度。
위료쾌속유효지구해전력계통무공우화문제，제출료일충분포식병행계산적유전산법。타채용주종방식래조직국역망내적다태궤기진행병행계산——유1태주궤진행선택화유전조작，병근거부하균형적원칙조도다태종궤계산조류이급출개체괄응치。근거무공우화적특점，위료증가산법병행도，취편마방안、기우다목표함수적괄응도구해화유전조작등방면대유전산법진행료상진적설계。문중환착중분석료병행처리효솔적상관문제。산례표명해방법불부취득료교호적우화효과，이차현저지제고료계산속도。
This paper presents a distributed genetic algorithm (GA) to solve optimal reactive power flow (OPF) problems in power systems. A master-slave plan is adopted to process the parallel computation with several computers in a local area network (LAN). In this plan, a "master" controls genetic operations and balances the loads of "slaves" which solve the adaptability function simultaneously. Some aspects to improve the parallelism of this algorithm are discussed in detail, such as encoding methods, the solution of the adaptability function of multi-objectives, and genetic operations. Moreover, some problems on parallel efficiency are analyzed. Based on the analysis of the numerical example, it can be concluded that this method achieves satisfactory optimization results as well as high computation speed.