中国电机工程学报
中國電機工程學報
중국전궤공정학보
Proceedings of the CSEE
2015年
20期
5188-5198,后插32
,共12页
备用配置%动态经济调度%源-荷协同%负荷恢复%网络约束%成本-价值解耦
備用配置%動態經濟調度%源-荷協同%負荷恢複%網絡約束%成本-價值解耦
비용배치%동태경제조도%원-하협동%부하회복%망락약속%성본-개치해우
reserve allocation%dynamic economic dispatch%supply-demand cooperation%load recovery%power network constraints%cost-value decoupling
电力系统运行需要兼顾可靠性与经济性,优化备用配置是其中的关键.随着负荷侧响应技术的发展,可控负荷成为一种重要的备用资源,需要与发电侧备用协同优化.文中在动态经济调度的框架下,提出了基于成本-价值解耦的源-荷备用协同优化方法.优化模型包含负荷侧备用的恢复过程,反映了不同负荷的物理特性;且计及网络约束,避免线路阻塞引起备用失效.设计了解耦算法求解该优化模型,主问题实现备用经济性配置,子问题实现备用可靠性校核.在子问题中,引入不可传输度反映备用价值并形成价值割,之后向主问题返回价值割,迭代求解,协调可靠性与经济性.IEEE RTS 96单区域系统的仿真结果表明该方法能够高效、灵活地协同优化配置源-荷备用.
電力繫統運行需要兼顧可靠性與經濟性,優化備用配置是其中的關鍵.隨著負荷側響應技術的髮展,可控負荷成為一種重要的備用資源,需要與髮電側備用協同優化.文中在動態經濟調度的框架下,提齣瞭基于成本-價值解耦的源-荷備用協同優化方法.優化模型包含負荷側備用的恢複過程,反映瞭不同負荷的物理特性;且計及網絡約束,避免線路阻塞引起備用失效.設計瞭解耦算法求解該優化模型,主問題實現備用經濟性配置,子問題實現備用可靠性校覈.在子問題中,引入不可傳輸度反映備用價值併形成價值割,之後嚮主問題返迴價值割,迭代求解,協調可靠性與經濟性.IEEE RTS 96單區域繫統的倣真結果錶明該方法能夠高效、靈活地協同優化配置源-荷備用.
전력계통운행수요겸고가고성여경제성,우화비용배치시기중적관건.수착부하측향응기술적발전,가공부하성위일충중요적비용자원,수요여발전측비용협동우화.문중재동태경제조도적광가하,제출료기우성본-개치해우적원-하비용협동우화방법.우화모형포함부하측비용적회복과정,반영료불동부하적물리특성;차계급망락약속,피면선로조새인기비용실효.설계료해우산법구해해우화모형,주문제실현비용경제성배치,자문제실현비용가고성교핵.재자문제중,인입불가전수도반영비용개치병형성개치할,지후향주문제반회개치할,질대구해,협조가고성여경제성.IEEE RTS 96단구역계통적방진결과표명해방법능구고효、령활지협동우화배치원-하비용.
Coordination of reliability and economy is necessary for power system operation, the key of which is the optimal reserve allocation. With the development of demand side management (DSM), controllable loads become an important reserve resource, which should be cooperatively allocated with the supply-side reserve. In this paper, for dynamic economic dispatch, a method was proposed to cooperatively optimize allocation of supply/demand side reserve by decoupling reserve cost and value. In the model, the recovery process of demand-side reserve was involved to reflect physical characteristics of various load types; while power network constraints were considered to avoid reserve invalidation due to transmission congestion. A decomposition algorithm based on decoupling reserve cost and value was designed to solve the model, in which reserve was economically allocated in the master problem (MP) and corrected by the reliability criterion in the slave problems (SPs). Non-deliverable degree of reserve was introduced in SPs to reflect reserve value and form value cuts which are returned to MP iteratively to coordinate reliability and economy. Simulation results on IEEE one area RTS-96 demonstrate that the proposed method can cooperatively optimize supply/ demand side reserve in an efficient and flexible way.