【摘要】 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。更多还原

【Abstract】 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.更多还原