考虑间歇性电源与负荷不确定性情况下基于多场景技术的主动配电系统两步优化调度  

Two Step Optimal Dispatch Based on Multiple Scenarios Technique Considering Uncertainties of Intermittent Distributed Generations and Loads in the Active Distribution System

作　　者：高亚静[1] 李瑞环[1] 梁海峰[1] 张建成[1] 冉进文 张锋明[2] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),河北省保定市071003 [2]国网浙江省电力公司,浙江省诸暨市311800

出　　处：《中国电机工程学报》2015年第7期1657-1665,共9页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51177047);教育部中央高校基本科研业务费专项基金(12MS107)~~

摘　　要：针对主动配电系统(active distribution system,ADS)中间歇性电源和负荷的不确定性问题,基于多场景技术提出一种两步优化调度模型。首先分析了ADS中各单元的概率模型,其次采用拉丁超立方抽样及样本缩减技术得到各单元的样本,进而构建了研究场景。在此基础上兼顾供电公司利益、污染物排放等目标,引入可中断负荷等相关约束,提出一种包含日前调度和实时调度的主动配电系统两步优化调度模型,并分别利用基于动态交换和密度距离的混沌粒子群算法和二进制粒子群算法求解日前调度和实时调度模型,算例结果表明所提模型和算法的有效性和正确性。To deal with the uncertainties of intermittent distributed generation and loads in the active distribution system（ADS）, a two step optimal dispatch model based on multiple scenarios technique was proposed in this paper.Firstly, probabilistic models of units in ADS were discussed.Secondly, samples were obtained by Latin hypercube sampling and samples reduction. Then the scenarios were constructed.On the basis of these, a two step optimal dispatch model, which consists of day-ahead dispatch model and real-time dispatch model, was presented to formulate an ADS dispatch where profits of power supply company, emission of pollutants and other objectives were considered. Constraints about transfer load（TL）, interruptible load（IL）, etc were also taken into account. A chaos particle swarm optimization algorithm based on dynamic exchange and density was applied to solve the day-ahead dispatch model while a binary particle swarm optimization was used for the real-time dispatch model. The effectiveness and validity of proposed model and algorithm are verified by case study.

关 键 词：主动配电系统 多场景技术 间歇性电源 日前调度 实时调度 

分 类 号：TM73[电气工程—电力系统及自动化]