电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2013年
18期
37-44
,共8页
施琳%罗毅%涂光瑜%施念
施琳%囉毅%塗光瑜%施唸
시림%라의%도광유%시념
微网%预测误差%机组停运%不确定性模型%旋转备用%混合整数遗传算法
微網%預測誤差%機組停運%不確定性模型%鏇轉備用%混閤整數遺傳算法
미망%예측오차%궤조정운%불학정성모형%선전비용%혼합정수유전산법
microgrid%forecast error%unit outage%uncertain model%spinning reserve%mixed-integer genetic algorithm
微网运行中存在发电单元故障停运以及可再生能源发电单元出力和负荷的波动性,从而合理安排旋转备用容量是维持微网安全、经济运行的重要环节。基于风电出力、光伏出力和负荷日前预测误差模型,利用全概率公式分别构建了综合预测误差及故障停运的风电和光伏出力不确定性分布模型,通过离散化风光出力和负荷不确定性分布与可调度机组停运概率分布联合生成微网功率不确定性离散分布模型,进而提出了计及微网功率不确定性以微网运行成本最小化为目标函数的微网最优旋转备用计算模型并考虑了微网向主网提供旋转备用。最后通过一个微网系统算例,采用混合整数遗传算法优化求解微网最优旋转备用值,验证了所建模型的合理性。
微網運行中存在髮電單元故障停運以及可再生能源髮電單元齣力和負荷的波動性,從而閤理安排鏇轉備用容量是維持微網安全、經濟運行的重要環節。基于風電齣力、光伏齣力和負荷日前預測誤差模型,利用全概率公式分彆構建瞭綜閤預測誤差及故障停運的風電和光伏齣力不確定性分佈模型,通過離散化風光齣力和負荷不確定性分佈與可調度機組停運概率分佈聯閤生成微網功率不確定性離散分佈模型,進而提齣瞭計及微網功率不確定性以微網運行成本最小化為目標函數的微網最優鏇轉備用計算模型併攷慮瞭微網嚮主網提供鏇轉備用。最後通過一箇微網繫統算例,採用混閤整數遺傳算法優化求解微網最優鏇轉備用值,驗證瞭所建模型的閤理性。
미망운행중존재발전단원고장정운이급가재생능원발전단원출력화부하적파동성,종이합리안배선전비용용량시유지미망안전、경제운행적중요배절。기우풍전출력、광복출력화부하일전예측오차모형,이용전개솔공식분별구건료종합예측오차급고장정운적풍전화광복출력불학정성분포모형,통과리산화풍광출력화부하불학정성분포여가조도궤조정운개솔분포연합생성미망공솔불학정성리산분포모형,진이제출료계급미망공솔불학정성이미망운행성본최소화위목표함수적미망최우선전비용계산모형병고필료미망향주망제공선전비용。최후통과일개미망계통산례,채용혼합정수유전산법우화구해미망최우선전비용치,험증료소건모형적합이성。
Due to unit outage and fluctuation of renewable power generation and load, scheduling reasonable amount of spinning reserve is important for maintaining safe and economical operation of microgrids. Based on day-ahead forecast errors models of wind power, photovoltaic power and load, the uncertainty distribution models of wind power and photovoltaic power are built by total probability formula that comprehensively considers forecast errors and unit outage. After discretizing wind power, photovoltaic power and load uncertainty distributions, the discrete uncertainty distribution model of microgrid power is generated combining with the outage probability distributions of dispatchable units. Then taking minimized microgrid total social cost as objective, a computing model of optimal spinning reserve in microgrids is presented considering uncertain factors of microgrid power and supplying spinning reserve to the main grid. Finally an example confirms the feasibility of the proposed model after optimizing the spinning reserve by mixed-integer genetic algorithm. This work is supported by National Natural Science Foundation of China (No. 50837003).