电力系统自动化2018，Vol.42Issue(12)：51-57,105,8.DOI:10.7500/AEPS20170913001
基于概率潮流的主动配电网日前-实时两级优化调度
Day-ahead and Real-time Optimal Scheduling for Active Distribution Network Based on Probabilistic Power Flow
黄伟 1葛良军 1华亮亮 2杨舒文 1刘明昌2
作者信息
- 1. 华北电力大学电气与电子工程学院,北京市 102206
- 2. 国网内蒙古东部电力有限公司通辽供电公司,内蒙古自治区通辽市 028000
- 折叠
摘要
Abstract
In order to effectively handle the challenges of safe operation brought by the intermittent power supply,virtual micro-network,flexible load and other uncertain variables in the active distribution network (ADN),a two-level optimal scheduling model based on probabilistic power flow is proposed,which is constituted by day-head and real-time optimal scheduling model. The day-ahead scheduling determines the operation plan of each unit to minimum the operation cost of ADN based on the power forecasting results.Real-time scheduling is performed for the volatility of each unit in the actual operation and the results of the short-term forecasting.The plan made by day-ahead scheduling is adj usted in accordance to the probabilistic power flow,which is calculated regarding the uncertain units as random variables.Node voltage and branch power in ADN still satisfy the constraint condition when fluctuating in triple standard deviation.Therefore,the safety margin of ADN is improved.The gravitational search algorithm and particle swarm optimization algorithm are applied to solve the scheduling model.In the end, the effectiveness of the scheduling model is verified by case study.关键词
主动配电网/日前—实时调度/不确定性/概率潮流/安全裕度Key words
active distribution network/day-ahead and real-time scheduling/uncertainty/probabilistic power flow/safety margin引用本文复制引用
黄伟,葛良军,华亮亮,杨舒文,刘明昌..基于概率潮流的主动配电网日前-实时两级优化调度[J].电力系统自动化,2018,42(12):51-57,105,8.
