主动配电网的全寿命周期分布式电源规划问题研究  

Research on distributed generation planning of active distribution network considering life cycle cost

作　　者：郑博文 杨隽 杨承辰 鲍小锋 Zheng Bowen;Yang Jun;Yang Chengchen;Bao Xiaofeng(Yuxi Power Supply Bureau,Yuxi 653100,Yunan,China)

机构地区：[1]玉溪供电局,云南玉溪653100

出　　处：《电测与仪表》2018年第8期66-71,共6页Electrical Measurement & Instrumentation

摘　　要：主动配电网(Active Distribution Network,ADN)的源荷强不确定性加剧了其电源规划的难度。文章基于ADN的灵活管控特性提出了考虑主动管理模式的分布式电源多目标双层规划模型。上层模型以最小化系统电源侧的全寿命周期成本为目标,从而确定DG的安装配置方案;而下层则以最小化DG有功出力切除量为目标,通过采用主动管理中的DG出力控制、有载变压器分接头调节以及无功补偿装置调节等方式实现DG运行优化。利用带自适应变异的改进粒子群(IPSO)算法对上下层模型进行求解,提高了算法的求解速度并有效得到全局最优解。同时,通过对IEEE 33节点系统进行仿真分析,验证了所构建模型的合理性。The key features of active distribution network(ADN)which include active management and active control exacerbate the difficulty of its generation planning.Based on flexible adjustment capability of ADN,a multi-objective bi-level programming model about distribution generation considering active management mode was proposed in this paper.The objective of upper level model was to minimize the total life cycle cost of power supply side in the system,thus the installation and configuration plan was obtained after optimization.Whereas the lower level model was aimed at minimizing active power curtailment value,and operation optimization of distributed generation(DG)was obtained through applying DG output control,on-load-tap-changing transformer adjustment,reactive power compensation device adjustment and other active management modes.The upper and lower models were solved by improved particle swarm optimization(PSO)algorithm with adaptive mutation,which could improve the solution speed and the global optimal effectiveness.Besides,the simulation analysis of the IEEE 33-node system was carried out to verify the rationality of the model.

关 键 词：主动管理 多目标双层规划 分布式电源 粒子群算法 

分 类 号：TM71[电气工程—电力系统及自动化]