摘要
提出了考虑开关动作次数约束和一天中系统能损最小为目标的混合整数配电网无功补偿动态优化模型。采用模拟植物生长算法同时从时间和空间两个角度对目标函数进行整体优化,避免了将其分解成动作时间和投入容量两层优化问题进行求解。通过对约束条件的巧妙处理,加快了算法的寻优速度。给出了满足动作次数限制约束的IEEE69节点系统全天电容器投切的整体优化方案,分析了最大动作次数取值的变化对动态无功优化结果的影响,并且与不计动作次数限制的优化结果进行了比较。算例结果显示了所提方法的正确性和有效性。
A mixed integer dynamic reactive power optimization model, which adopts the entire system energy loss in a day as the objective function and considers the constraint of the permissible number of equipment switching, is presented. A plant growth simulation algorithm （PGSA） is used to optimize the objective function from both time and space synchronously, which avoids separating the optimization problem into two sub-problems of switching time optimization and capacity optimization. The constraints are smartly handled for improving the efficient of calculation. The proposed method is applied to IEEE 69 bus sample system and the optimal switching scheme of capacitors in a day is gained. The effect of different maximum switching number constraints on dynamic reactive power optimization results is also analyzed. Furthermore, the result based on the proposed method is compared with that based on the static optimization method. The obtained results indicate the correctness and effectiveness of the proposed method.
出处
《电工技术学报》
EI
CSCD
北大核心
2008年第2期109-114,共6页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(50747025)
上海市重点科技攻关计划(041612012)
中国博士后基金(20060400648)资助项目
关键词
配电网络
动态无功补偿
整体优化
模拟植物生长算法
动作次数约束
Distribution network, dynamic reactive power, integrated optimization, plant growth simulation algorithm, switching number constraint
