风电光伏电具有随机波动性和间歇性，为对冲风电光伏电大规模并网的影响，优化抽水蓄能电站运行方式十分有必要。在优先消纳风电和光伏电功率的前提下，以抽水蓄能电站运行后电网剩余负荷均方差最小为目标，建立抽水蓄能电站运行优化模型。然后针对非线性目标函数、含0-1变量和整数变量及时间关联约束复杂特点，提出了一种基于双向切负荷法的抽水蓄能电站运行搜索优化方法。采用湖北电网2019年运行数据，分析了优先消纳风电、光伏电功率后电网剩余负荷特性变化，对白莲河抽水蓄能电站运行方式进行优化。实例结果验证了所提出的模型和求解方法的可行性和有效性。
Abstract
Wind power and photovoltaic power have the characteristics of random, dynamic and intermittent. In order to hedge the impact of large-scale grid connection of wind power photovoltaic power, it is necessary to optimize the daily operation scheme of pumped storage power plants. On the premise of prioritizing the consumption of wind power and photovoltaic power, with the goal of minimizing the mean square error of the residual load of the grid considering the operation of the pumped storage power station, the operation optimization model of the pumped storage power station is established. Then, aiming at the characteristics of nonlinear objective function, 0-1 variables and integer variables, and time-related constraints, a method for searching and optimizing the operation of pumped storage power plants based on the bidirectional load shedding method is proposed. Based on the operating data of Hubei Power Grid in 2019, the residual load characteristics of the grid after the priority consumption of wind power and photovoltaic power were analyzed, and the operation mode of the Bailian River Pumped Storage Power Station was optimized. The case results verify the feasibility and effectiveness of the proposed model and solution method.
关键词
抽水蓄能 /
清洁能源 /
削峰填谷
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Key words
pumped storage /
clean energy utilization /
peak load shifting
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参考文献
[1]2020年上半年风电、光伏发电并网运行情况[R]. 北京：国家能源局，2020.
[2]关于开展“风光水火储一体化”“源网荷储一体化”的指导意见（征求意见稿）[Z] 北京：国家发展改革委,2020.
[3]王现勋, 梅亚东, 段文辉, 等. 抽水蓄能电站运行优化模型[J]. 水电自动化与大坝监测, 2008(2):1-3.
[4]徐飞, 陈磊, 金和平, 等. 抽水蓄能电站与风电的联合优化运行建模及应用分析[J]. 电力系统自动化, 2013,37(1):149-154.
[5]邹金, 赖旭, 汪宁渤. 以减少电网弃风为目标的风电与抽水蓄能协调运行[J]. 电网技术, 2015,39(9):2 472-2 477.
[6]马实一. 风电-光伏-抽水蓄能联合优化运行模型建立与应用[J]. 供用电, 2018,35(1):80-85.
[7]李树林, 戴嘉彤, 董海鹰, 等. 考虑相关性的风光抽蓄互补发电系统优化运行[J]. 电力系统及其自动化学报, 2019,31(11): 92-102.
[8]HUANG H Y, ZHOU M, ZHANG LJ, et al. Joint generation and reserve scheduling of wind‐solar‐pumped storage power systems under multiple uncertainties[J]. International Transactions on Electrical Energy Systems, 2019,29(7).
[9]WANG XX, CHEN LH, CHEN QJ, et al. Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage[J]. Energies, 2018,11(12): 3459.
[10]张世钦. 基于改进粒子群算法的风光水互补发电系统短期调峰优化调度[J]. 水电能源科学, 2018,36(4):208-212.
[11]张歆蒴, 黄炜斌, 王峰, 等. 大型风光水混合能源互补发电系统的优化调度研究[J]. 中国农村水利水电, 2019(12):181-185.
[12]刘拥军, 王亮, 王强, 等. 华东电网抽水蓄能电站电能计划安排方式优化算法[J]. 电力系统自动化, 2009,33(3):104-107.
[13]程雄, 申建建, 程春田, 等. 大电网平台下抽水蓄能电站群短期多电网启发式调峰方法[J]. 电力系统自动化, 2014,38(9):53-60.
[14]刘明浩，王丽萍，李传刚，等，减少弃水电量的抽水蓄能电站运行方式研究[J].水力发电学报, 2016,35(12):45-55.
[15]张祥. 华中地区风电发展对水电调度模式的影响[J]. 水电与新能源, 2016(6):70-74.
[16]彭利鸿, 余姚果, 肖小刚, 等. 华中电网风电出力波动性与典型时序场景[J]. 水电与新能源, 2019,33(11): 22-26.
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