CAJ | 학술논문

多目标进化算法在电力系统无功优化领域已有广泛应用,目前研究主要集中于引入某种单一算法求解该问题,难以全面客观地分析算法的寻优性能.因此选取当前典型的多目标进化算法,从整体角度对它们在无功优化问题中的应用展开比较研究.与传统设定偏好参数、将多目标问题转化为单目标问题的方法不同,直接采用计及系统网损与电压偏移的多目标模型.以IEEE 30节点标准系统的多目标无功优化为算例,从非支配解集质量和多样性、帕累托前沿分布广阔性和均匀性及收敛速度等角度,比较算法的寻优性能,分析其优势或不足.在评估各种算法计算性能的基础上提出了进一步研究的展望.相关结论对多目标进化算法在无功优化问题中的应用和改进具有一定的参考价值.
다목표진화산법재전력계통무공우화영역이유엄범응용,목전연구주요집중우인입모충단일산법구해해문제,난이전면객관지분석산법적심우성능.인차선취당전전형적다목표진화산법,종정체각도대타문재무공우화문제중적응용전개비교연구.여전통설정편호삼수、장다목표문제전화위단목표문제적방법불동,직접채용계급계통망손여전압편이적다목표모형.이IEEE 30절점표준계통적다목표무공우화위산례,종비지배해집질량화다양성、파루탁전연분포엄활성화균균성급수렴속도등각도,비교산법적심우성능,분석기우세혹불족.재평고각충산법계산성능적기출상제출료진일보연구적전망.상관결론대다목표진화산법재무공우화문제중적응용화개진구유일정적삼고개치.
Multi-objective evolutionary algorithms (MOEAs) are widely applied in optimal reactive power flow (ORPF), at present the research is focused on how to lead in a kind of single algorithm to solve ORPF, however it is difficult to analyze the searching performance of MOEAs comprehensively and objectively. For this reason, current typical MOEAs are selected and from an overall perspective the application of them in ORPF is comparatively researched. Different from traditional approach that combines multiple objective functions into a single one by setting preference parameters, the multi-objective model, in which the system network loss and voltage deviation are taken into account, is directly utilized. Taking multi-objective reactive power optimization in IEEE 30-bus system for example, the optimal performances of five MOEAs were compared and the superiorities and defects of them are analyzed in the viewpoints of quality and diversity of non-dominated solution set, extensity and uniformity of final Pareto front and convergence speed. On the basis of evaluating computing performances of five MOEAs the prospect of further research is put forward.