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作 者:吴红斌[1] 董淑涛 丁明[1] Wu Hongbin, Dong Shutao, Ding Ming(School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)
机构地区:[1]合肥工业大学电气与自动化工程学院
出 处:《太阳能学报》2018年第9期2418-2424,共7页Acta Energiae Solaris Sinica
基 金:国家重点研发计划(2016YFB0901100;2016YFB0901101)
摘 要:从需求侧响应的角度出发,提出源-荷-储的风电功率分层平滑方法。在建立风电分时电价模型和多时间尺度可平移负荷模型的基础上,利用经济性启发式规则建立风电与负荷、储能互动的优化调度模型。根据可平移负荷的特性,提出负荷与储能的分层优化策略,并给出每层的目标曲线及求解的方法。通过算例系统,验证和分析分层优化调度策略的有效性和平滑效果。By tracking the output side effects which the fluctuations curve of renewable energy sources, shifting the operational time of load can reduce the of large-scale renewable energy have on power system. From the perspective of demand response, this paper proposes a layered method for smoothing the wind power fluctuation. This method establishes the time-of-use electricity price model and the model of the shiftable load with multi-time scales. On this basis, by using economic heuristic rules, this paper establishes optimization models of wind-load and wind-storage. According to the characteristics of the shiftable load in different time scales, this paper presents a layered optimization strategy which gives the target curve and the corresponding solving algorithm in each layer. With the example system, the effectiveness and smoothing effect of the layered optimization scheduling strategy are verified and analyzed.
关 键 词:风电功率 负荷调度 粒子群优化 需求侧响应 可平移负荷
分 类 号:TM715[电气工程—电力系统及自动化]
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