电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2011年
22期
131-135
,共5页
王洪涛%何成明%房光华%傅磊
王洪濤%何成明%房光華%傅磊
왕홍도%하성명%방광화%부뢰
经济调度%风电预测%预测误差%优化模型%备用容量
經濟調度%風電預測%預測誤差%優化模型%備用容量
경제조도%풍전예측%예측오차%우화모형%비용용량
economic dispatching%wind power prediction%prediction error%optimization model%reserve capacity
随着风电并网容量的不断增大,电网消纳风电的难度不断增大。风电场出力预测存在较大误差,且误差大小随预测周期和出力水平的不同存在较大差异,需要不同的备用容量来满足系统供电和负荷的平衡。针对上述问题,提出了计及风电预测误差的日前和日内调度计划渐进优化模型。该模型将风电出力和误差带的预测纳入调度计划的执行过程中,并根据最新的预测信息对之前制定的调度计划进行调整,调整内容包括常规机组出力和所提供的备用容量,以此来逐步提高剩余时段调度计划的准确性。以含风电场的IEEE 30节点算例系统为例对该模型进行了验证,与日前调度模型相比,该模型能有效反映不同时段风电预测误差对风电调度的影响,从而在各调度时段对备用容量进行相应调整。
隨著風電併網容量的不斷增大,電網消納風電的難度不斷增大。風電場齣力預測存在較大誤差,且誤差大小隨預測週期和齣力水平的不同存在較大差異,需要不同的備用容量來滿足繫統供電和負荷的平衡。針對上述問題,提齣瞭計及風電預測誤差的日前和日內調度計劃漸進優化模型。該模型將風電齣力和誤差帶的預測納入調度計劃的執行過程中,併根據最新的預測信息對之前製定的調度計劃進行調整,調整內容包括常規機組齣力和所提供的備用容量,以此來逐步提高剩餘時段調度計劃的準確性。以含風電場的IEEE 30節點算例繫統為例對該模型進行瞭驗證,與日前調度模型相比,該模型能有效反映不同時段風電預測誤差對風電調度的影響,從而在各調度時段對備用容量進行相應調整。
수착풍전병망용량적불단증대,전망소납풍전적난도불단증대。풍전장출력예측존재교대오차,차오차대소수예측주기화출력수평적불동존재교대차이,수요불동적비용용량래만족계통공전화부하적평형。침대상술문제,제출료계급풍전예측오차적일전화일내조도계화점진우화모형。해모형장풍전출력화오차대적예측납입조도계화적집행과정중,병근거최신적예측신식대지전제정적조도계화진행조정,조정내용포괄상규궤조출력화소제공적비용용량,이차래축보제고잉여시단조도계화적준학성。이함풍전장적IEEE 30절점산례계통위례대해모형진행료험증,여일전조도모형상비,해모형능유효반영불동시단풍전예측오차대풍전조도적영향,종이재각조도시단대비용용량진행상응조정。
The difficulty of integrating wind power into the grid increases with the wind power penetration level growing continuously.The prediction error of wind farm output is relatively large,and it varies with the prediction cycle and output level;therefore,different reserve capacities are needed to balance power supply and load demand.To solve the above issues,a gradual optimization method of day-ahead and within-day dispatching schedules is presented.The wind power and predication error band are involved during the implementation of dispatching schedules,and the last dispatching schedules are adjusted according to the latest predication messages to improve the accuracy of dispatching schedules gradually.The adjustments include the output power and reserve capacities of conventional generators.The proposed model is verified on IEEE 30-bus system with a wind farm.Compared to the day-ahead dispatching model,the proposed model can reflect the impact of wind power predication error on dispatching schedules more effectively,and the reserve capacities can be adjusted accordingly.