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作 者:孙东磊 杨思 韩学山[2] 叶平峰[2] 王宪 刘蕊 SUN Donglei;YANG Si;HAN Xueshan;YE Pingfeng;WANG Xian;LIU Rui(Economic&Technology Research Institute,State Grid Shandong Electric Power Company,Jinan 250021,Shandong,China;School of Electrical Engineering,Shandong University,Jinan 250061,Shandong,China)
机构地区:[1]国网山东省电力公司经济技术研究院,山东济南250021 [2]山东大学电气工程学院,山东济南250061
出 处:《山东大学学报(工学版)》2022年第5期111-122,共12页Journal of Shandong University(Engineering Science)
基 金:国网山东省电力公司科技资助项目(52062519000V)。
摘 要:针对目前动态经济调度研究中风电波动性和不确定性引发旋转备用响应风险难以有机考虑的问题,提出一种针对高风电接入比例下的动态经济调度方法。将机组强迫停运引发的旋转备用响应风险有机统一到时间耦合引起的响应风险中,将旋转备用响应风险的用户停电损失期望和弃风损失期望加入目标函数中,在寻求目标函数最小的同时,自动为系统配置适宜备用,保证各时段系统响应风险的一致性。利用改进的多宇宙并行量子遗传算法以及图形处理器(graphics processing unit, GPU)加速技术对模型进行求解。10机系统算例及其分析证明了该方法的有效性和可行性,能够在动态经济调度中准确度量风电波动性和不确定性共同引发的旋转备用响应风险。Aiming at the problem that the current dynamic economic dispatch(DED) failed to consider the response risk of spinning reserve caused by the fluctuation and uncertainty of wind power, a DED method for a high wind power access ratio power system was proposed. This method unified the response risk of reserve caused by forced shutdown of unit into the response risk caused by time coupling. The expected customer interruption cost(ECOST) and the expected abandoned wind cost considering this reserve response risk were added to the objective function. While seeking the minimum objective function, the system was automatically configured with suitable reserve to ensure the consistency of the system′s response risk in each period. An improved multi-universe parallel quantum genetic algorithm and GPU acceleration technology were used to solve the model. Numerical examples and analysis proved the effectiveness and feasibility of the proposed method. The proposed method can accurately measure the spinning reserve response risk caused by wind power volatility and uncertainty in the DED.
关 键 词:电力系统 动态经济调度 旋转备用 响应风险 多宇宙并行量子遗传算法
分 类 号:TM732[电气工程—电力系统及自动化]
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