文章摘要
李振坤,崔静,路群,等.基于时序动态约束的主动配电网滚动优化调度[J].电力系统自动化,2019,43(16):17-24. DOI: 10.7500/AEPS20190128006.
LI Zhenkun,CUI Jing,LU Qun, et al.Rolling Optimal Scheduling of Active Distribution Network Based on Sequential Dynamic Constraints[J].Automation of Electric Power Systems,2019,43(16):17-24. DOI: 10.7500/AEPS20190128006.
基于时序动态约束的主动配电网滚动优化调度
Rolling Optimal Scheduling of Active Distribution Network Based on Sequential Dynamic Constraints
DOI:10.7500/AEPS20190128006
关键词: 主动配电网  实时调度  滚动优化  随机潮流  时序动态约束
KeyWords: active distribution network(ADN)  real-time scheduling  rolling optimization  stochastic power flow  temporal dynamic constraints
上网日期:2019-06-25
基金项目:国家自然科学基金资助项目(51407113);上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)
作者单位E-mail
李振坤 上海电力大学电气工程学院, 上海市 200090 lzk021@163.com 
崔静 上海电力大学电气工程学院, 上海市 200090  
路群 上海电力大学电气工程学院, 上海市 200090  
米阳 上海电力大学电气工程学院, 上海市 200090  
苏向敬 上海电力大学电气工程学院, 上海市 200090  
摘要:
      为有效应对主动配电网(ADN)中间歇性能源和负荷等不确定性因素给ADN优化调度带来的挑战,提出了基于时序动态约束的ADN滚动连续实时优化调度方法。以恒定调度周期24 h的经济性最优为优化目标,建立了统筹考虑各类有功和无功功率等控制资源的综合实时优化调度模型。所提的滚动优化调度方法基于优化时刻的实时采集数据和后续23 h的预测数据,采用和声搜索算法求解所建调度模型,连续实时确定每个时刻ADN的最优运行方案。在建模过程中考虑到风光荷预测的不准确性随时间的增长而增大的特性,提出了时序动态约束的概念,即愈往后其安全约束愈加宽松,以此扩大解空间范围,进一步提高了调度方案的经济水平。最后,对改进的IEEE 33节点算例和IEEE 69节点算例的调度仿真分析,验证了所提方法和模型的可行性和有效性。
Abstract:
      In order to effectively deal with the challenges to ADN optimal scheduling brought by uncertain factors such as intermittent energy and load in active distribution network(ADN), a rolling continuous real-time optimal scheduling method for ADN based on temporal dynamic constraints is proposed. Taking the optimal economic with a constant scheduling period of 24 h as the optimization objective, a comprehensive real-time optimal scheduling model considering all kinds of active and reactive power resources is established. The proposed scheduling method of rolling optimization is based on the real-time data collected at the optimization time and the prediction data of the subsequent 23 h, the harmonic search algorithm is used to solve the developed scheduling model, and the optimal operation scheme of ADN at each time is continuously determined in real-time. In the modeling process, considering that the uncertainties of prediction of wind, solar resource and load increase with the increase of time, this paper puts forward the concept of time-series dynamic constraint, that is, its security constraint becomes looser and looser in the future, so as to expand the solution space and further improve the economic level of the scheduling scheme. Finally, the scheduling simulation analysis of the improved IEEE 33-node and IEEE 69-node examples verifies the feasibility and effectiveness of the proposed method and model.
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