电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2015年
10期
1-7
,共7页
傅利%周步祥%林虹江%王小红
傅利%週步祥%林虹江%王小紅
부리%주보상%림홍강%왕소홍
NSGA-Ⅱ%旋转备用%混合变量动态优化算法%多目标动态优化调度%超前调度
NSGA-Ⅱ%鏇轉備用%混閤變量動態優化算法%多目標動態優化調度%超前調度
NSGA-Ⅱ%선전비용%혼합변량동태우화산법%다목표동태우화조도%초전조도
NSGA-Ⅱ%spinning reserve%hybrid variable dynamic optimization algorithm%multi-objective dynamic op-timal dispatch%advanced dispatch
由于风电功率具有随机性、不确定性等特点,从系统安全稳定运行的角度出发,文章综合考虑了机组的故障停运、负荷与风电的预测偏差这三种不确定因素,将概率性旋转备用用解析式表达,并将其引入到含风电场电力系统多目标多时段的动态优化调度模型及约束条件中。基于 NSGA-II设计了一种0-1混合变量动态优化算法来求解该模型,该算法根据分层优化的方法处理整数混合变量,以达到同时实现机组启停与负荷分配的多目标优化;在求解过程中引入超前调度思想,对相邻时段约束耦合进行处理,从而实现多时段的动态优化调度。最后通过算例对模型进行仿真分析,仿真结果验证该模型的合理性和算法的有效可行性。
由于風電功率具有隨機性、不確定性等特點,從繫統安全穩定運行的角度齣髮,文章綜閤攷慮瞭機組的故障停運、負荷與風電的預測偏差這三種不確定因素,將概率性鏇轉備用用解析式錶達,併將其引入到含風電場電力繫統多目標多時段的動態優化調度模型及約束條件中。基于 NSGA-II設計瞭一種0-1混閤變量動態優化算法來求解該模型,該算法根據分層優化的方法處理整數混閤變量,以達到同時實現機組啟停與負荷分配的多目標優化;在求解過程中引入超前調度思想,對相鄰時段約束耦閤進行處理,從而實現多時段的動態優化調度。最後通過算例對模型進行倣真分析,倣真結果驗證該模型的閤理性和算法的有效可行性。
유우풍전공솔구유수궤성、불학정성등특점,종계통안전은정운행적각도출발,문장종합고필료궤조적고장정운、부하여풍전적예측편차저삼충불학정인소,장개솔성선전비용용해석식표체,병장기인입도함풍전장전력계통다목표다시단적동태우화조도모형급약속조건중。기우 NSGA-II설계료일충0-1혼합변량동태우화산법래구해해모형,해산법근거분층우화적방법처리정수혼합변량,이체도동시실현궤조계정여부하분배적다목표우화;재구해과정중인입초전조도사상,대상린시단약속우합진행처리,종이실현다시단적동태우화조도。최후통과산례대모형진행방진분석,방진결과험증해모형적합이성화산법적유효가행성。
Because the wind power has the characteristics of randomness and uncertainty, from the perspective of safe and stable operation, considering the three kinds of uncertain factors including fault shutdown of the unit, load and wind power prediction deviation, the probabilistic spinning reserve is expressed through the analysis formula, and brought into the dynamic optimization model and constraint condition of the wind power system in this paper.A mixed 0-1 variables optimization algorithm based on the NSGA-II is used to solve the model.The algorithm manages the inte-ger variables according to the hierarchical optimization method, in order to realize the multi-objective optimization of the unit start-stop and load distribution.The advanced dispatching idea is introduced in the solving process to deal with the constraint coupling, so as to realize the dynamic optimization of time scheduling.Finally, the simulation re-sults verify the rationality of the model and the effective feasibility of the algorithm.