电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
16期
9-15
,共7页
裴玮%邓卫%沈子奇%杨艳红%肖浩%齐智平
裴瑋%鄧衛%瀋子奇%楊豔紅%肖浩%齊智平
배위%산위%침자기%양염홍%초호%제지평
可再生能源%热电联供%微网(微电网)%能量管理%优化
可再生能源%熱電聯供%微網(微電網)%能量管理%優化
가재생능원%열전련공%미망(미전망)%능량관리%우화
renewable energy%combined heat and power(CHP)%microgrid%energy management%optimization
针对可再生能源与热电联供混合微网的能量协调优化,基于对可再生能源、微型燃气轮机以及储能等典型分布式能源的功率响应特性分析,提出多时间尺度的能量协调优化方法,即通过“时”“分”以及“秒”时间尺度的能量协调完成混合微网运行优化:“时”时间尺度优化策略制定各分布式能源合理的机组组合方式以及运行发电计划;应用改进型欧拉滑动平均预测模型,提取混合微网功率波动的快慢变化过程,进一步优化各分布式能源“分”和“秒”时间尺度的功率输出。对所述混合微网能量协调优化策略进行了仿真分析与实验研究,验证了协调优化策略的有效性和可行性。
針對可再生能源與熱電聯供混閤微網的能量協調優化,基于對可再生能源、微型燃氣輪機以及儲能等典型分佈式能源的功率響應特性分析,提齣多時間呎度的能量協調優化方法,即通過“時”“分”以及“秒”時間呎度的能量協調完成混閤微網運行優化:“時”時間呎度優化策略製定各分佈式能源閤理的機組組閤方式以及運行髮電計劃;應用改進型歐拉滑動平均預測模型,提取混閤微網功率波動的快慢變化過程,進一步優化各分佈式能源“分”和“秒”時間呎度的功率輸齣。對所述混閤微網能量協調優化策略進行瞭倣真分析與實驗研究,驗證瞭協調優化策略的有效性和可行性。
침대가재생능원여열전련공혼합미망적능량협조우화,기우대가재생능원、미형연기륜궤이급저능등전형분포식능원적공솔향응특성분석,제출다시간척도적능량협조우화방법,즉통과“시”“분”이급“초”시간척도적능량협조완성혼합미망운행우화:“시”시간척도우화책략제정각분포식능원합리적궤조조합방식이급운행발전계화;응용개진형구랍활동평균예측모형,제취혼합미망공솔파동적쾌만변화과정,진일보우화각분포식능원“분”화“초”시간척도적공솔수출。대소술혼합미망능량협조우화책략진행료방진분석여실험연구,험증료협조우화책략적유효성화가행성。
To achieve energy coordination and optimization of a hybrid microgrid based on renewable energy and combined heat and power(CHP) supply,the power characteristics of typical distributed energy resources such as renewable energy,micro-turbine and energy storage are analyzed. Energy coordination and optimization strategies based on multi-time scale are presented.The operation of the hybrid microgrid can be optimized using the hour-time scale,minute-time scale and second-time scale optimization:the hour-time scale optimization strategies can help develop rational unit commitment and generation plans for distributed energy resources,and the minute-time scale and second-time scale power output of distributed energy resources can be further optimized with the help of an improved Euler moving average prediction(EMAP)model to extract the fast and slow processes during power fluctuations of the hybrid microgrid.Simulation and experiment studies show that the energy coordination and optimization strategies are effective and feasible. This work is supported by National Natural Science Foundation of China(No.50907065,No.5 12771 70)and Knowledge Innovation Important Direction Project of Chinese Academy of Sciences (No.KGCX2-EW-322).