电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
13期
115-120,159
,共7页
别朝红%胡国伟%谢海鹏%李更丰
彆朝紅%鬍國偉%謝海鵬%李更豐
별조홍%호국위%사해붕%리경봉
风力发电%优化调度%需求响应%电价响应%用户满意度
風力髮電%優化調度%需求響應%電價響應%用戶滿意度
풍력발전%우화조도%수구향응%전개향응%용호만의도
wind power generation%optimal dispatch%demand response%electricity price response%customers”satisfaction
建立了考虑电价响应和用户满意度的含风电电力系统优化调度新模型。该新模型融入电价响应这一用电调度方式来优化调整次日的负荷曲线,以降低风电的反调峰特性和间歇性对优化调度的影响,同时通过引入用户用电满意度约束,确保所做出的调整让用户满意。该模型改变了一味通过协调优化发电侧资源去配合风电并网的传统模式,形成了发电资源和负荷资源共同协调优化配合风电并网的新模式。算例分析表明,所提出的考虑需求响应的含风电电力系统的优化调度模型,可以在满足用户用电满意度的前提下,降低系统运行费用,特别是大幅降低了机组的启停费用,提高了含风电电力系统运行的经济性。
建立瞭攷慮電價響應和用戶滿意度的含風電電力繫統優化調度新模型。該新模型融入電價響應這一用電調度方式來優化調整次日的負荷麯線,以降低風電的反調峰特性和間歇性對優化調度的影響,同時通過引入用戶用電滿意度約束,確保所做齣的調整讓用戶滿意。該模型改變瞭一味通過協調優化髮電側資源去配閤風電併網的傳統模式,形成瞭髮電資源和負荷資源共同協調優化配閤風電併網的新模式。算例分析錶明,所提齣的攷慮需求響應的含風電電力繫統的優化調度模型,可以在滿足用戶用電滿意度的前提下,降低繫統運行費用,特彆是大幅降低瞭機組的啟停費用,提高瞭含風電電力繫統運行的經濟性。
건립료고필전개향응화용호만의도적함풍전전력계통우화조도신모형。해신모형융입전개향응저일용전조도방식래우화조정차일적부하곡선,이강저풍전적반조봉특성화간헐성대우화조도적영향,동시통과인입용호용전만의도약속,학보소주출적조정양용호만의。해모형개변료일미통과협조우화발전측자원거배합풍전병망적전통모식,형성료발전자원화부하자원공동협조우화배합풍전병망적신모식。산례분석표명,소제출적고필수구향응적함풍전전력계통적우화조도모형,가이재만족용호용전만의도적전제하,강저계통운행비용,특별시대폭강저료궤조적계정비용,제고료함풍전전력계통운행적경제성。
A novel optimal dispatch model is presented for wind power integrated systems.Compared with conventional models,the proposed model considers the customers”power consumption response to the electric power prices and customers”satisfaction constraints.The next day”s load profile is optimally adj usted by the electricity price response.The adj ustment will improve the wind generation impact on optimal dispatch caused by anti-peak-shaving and intermittence of wind generation. Moreover,the customers”satisfaction is introduced to ensure that the adj ustment will indeed satisfy the customers.This model coordinates generation resources and load resources to jointly optimize the integration of the wind generation rather than merely emphasize the generation resources as done by the conventional models.Case studies show that the proposed optimal dispatch model is able to reduce the system operation cost,especially the unit commitment cost while improving the economical operation of power systems integrated with wind generation.