摘要
针对风电机组并网给配网无功优化带来的不确定性问题,提出了基于风速预测的场景分析法,将不确定性模型转换成多个典型的确定性场景问题,建立了全场景下兼顾有功网损和静态电压稳定裕度的多目标无功优化模型。采用模糊集理论将确定性问题模糊化,按照最大满意度准则将多目标模型转换成单目标模型,并采用量子行为粒子群优化算法对模型进行求解。以IEEE69节点配电系统为例进行仿真分析,结果验证了该模型的有效性和可行性。
Considering the distribution reactive power optimization′s uncertainty which results from wind turbine connecting to the network,a scenario analysis method based on wind speed prediction is presented to convert the uncer-tainty model to several typical certain scenario problem. Thus multi-objective reactive power optimization model con-sidering active power loss and the stability margin of static voltage is established. Using fuzzy set theory,a multi-ob-jective model is transformed into single objective model according to maximum-satisfaction criterion and is solved by quantum-behaved particle swarm optimization（QPSO）algorithm. The distribution system of IEEE69 nodes is applied for simulation analysis,and the results verify the validity and feasibility of the model.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第6期8-13,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目"绿色电力供应链随机优化决策及协调机制研究"(71071025)
关键词
无功模糊优化
场景分析法
电压稳定
最大满意度准则
量子行为粒子群算法
reactive power fuzzy optimization
scenario analysis method
voltage stability
maximum-satisfaction criterion
quantum-behaved particle swarm optimization（QPSO）algorithm
