CAJ | 학술논문

综合考虑可用输电能力和柔性交流输电设备投资费用，建立了用于FACTS设备选址和定容的多目标优化模型。提出了一种基于变焦佳点集和种群熵的改进多目标引力搜索优化算法(improved multi-objective gravitational search algorithm，IMOGSA)。利用该算法对FACTS设备的位置及容量组合进行优化，得到包含对应组合的可用输电能力和投资费用信息的 Pareto 解集，并采用模糊满意度方法对所得Pareto解集进行分析，选出兼容性最好的解。在IEEE-14节点系统中对所提出的方法进行了验证，并和多目标引力搜索算法、多目标粒子群算法进行对比，结果表明改进多目标引力搜索优化算法优于后2种算法，是FACTS设备选址定容的首选。
종합고필가용수전능력화유성교류수전설비투자비용，건립료용우FACTS설비선지화정용적다목표우화모형。제출료일충기우변초가점집화충군적적개진다목표인력수색우화산법(improved multi-objective gravitational search algorithm，IMOGSA)。이용해산법대FACTS설비적위치급용량조합진행우화，득도포함대응조합적가용수전능력화투자비용신식적 Pareto 해집，병채용모호만의도방법대소득Pareto해집진행분석，선출겸용성최호적해。재IEEE-14절점계통중대소제출적방법진행료험증，병화다목표인력수색산법、다목표입자군산법진행대비，결과표명개진다목표인력수색우화산법우우후2충산법，시FACTS설비선지정용적수선。
Considering available transmission capacity (ATC) and investment cost for FACTS equipments synthetically, a multi-objective optimization model of site selection and determination of capacity for FACTS equipment is established, and based on zooming good point set and population entropy an improved multi-objective gravitational search algorithm (IMOGSA) is proposed. Using IMOGSA the combinations of site selection and determination of capacity for FACTS equipments are optimized to attain the Pareto solution set, in which the information of ATC and investment cost of corresponding combination is included, and the attained Pareto solution set is analyzed by fuzzy satisfactory degree, and then the solution with the best compatibility is chosen. The proposed method is validated by IEEE 14-bus system, and the simulation results are compared with those from multi-objective gravitational search algorithm and multi-objective particle swarm optimization algorithm, and comparison result shows that the proposed IMOGSA is better than the latter two algorithms.