计及风电消纳效益的电力系统源荷协调二层优化模型

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摘要随着风电的大规模接入,其随机性和间歇性导致常规电源的调节压力不断增大,与常规能源呈逆向分布的特点也使得常规电源的调节能力受到输电通道的制约,从而造成风电消纳受阻。本文利用高载能负荷作为消纳风电的重要手段,将常规电源的优化调度和高载能负荷的优化配置相结合,综合考虑风电消纳效益、高载能负荷调节成本和系统运行成本,建立以源荷协调运行效益最大化为目标的二层优化模型。通过求解上层优化模型确定常规电源出力和风电调度出力;在此基础上,下层优化模型针对因常规电源调节能力不足导致的风电受阻情况,选取能够有效消纳风电受阻功率且调节成本最少的高载能负荷参与电网调度。根据上、下层模型决策变量的不同特点,采用改进遗传算法和二进制粒子群算法相结合的混合智能算法进行模型求解。通过某实际电网的仿真结果,验证了本文优化模型的可行性和有效性。

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关键词 ：风电, 高载能负荷, 源荷协调, 消纳效益, 二层优化, 混合智能算法

Abstract：With large-scale wind power access, its stochastic and intermittent increases the regulation pressure of conventional power, and the characteristic of reverse distribution with conventional energy also makes the regulation ability of conventional power constrained by transmission channel, and results in wind power consumptive blocked. This paper uses the high energy load as an important means of wind power consumptive, and combines the optimal scheduling of conventional power with the optimal allocation of high energy load, and establishes a bi-level optimal model with the source-load coordination benefits maximized which including the system operation cost, the adjustment cost of high energy load, and the wind power consumptive benefits. The operation situation of conventional power and the scheduling plan of wind power are calculated by the upper model; and then, the lower model is to determine appropriate high energy load to consume blocked wind power effectively and minimize adjustment cost at the same time with regard to the wind power consumptive blocked caused by lacking of conventional power regulating capacity. According to the difference between the decision variables of upper level model and lower level model, the hybrid intelligent optimization algorithm which combines the improved genetic algorithm with the binary particle swarm algorithm is used to solve this model. The simulation results of actual power grid verified the feasibility and effectiveness of this model.

Key words： Wind Power high energy load source-load coordination consumptive benefits bi-level optimal model hybrid intelligent algorithm

收稿日期: 2013-04-14 出版日期: 2015-05-25

PACS:

TM614

基金资助:国家自然科学基金项目（51377053）和国家科技支撑计划项目（SQ2015BA0502239）

作者简介: 文晶女,1987年生,博士研究生,从事电力系统运行、分析与控制方面的研究。刘文颖女,1955年生,教授,博士生导师,从事电力系统分析与控制、电力系统智能调度及大电网安全防御方面的研究。

引用本文:

文晶, 刘文颖, 谢昶, 王维洲. 计及风电消纳效益的电力系统源荷协调二层优化模型[J]. 电工技术学报, 2015, 30(8): 247-256. Wen Jing, Liu Wenying, Xie Chang, Wang Weizhou. Source-Load Coordination Optimal Model Considering Wind Power Consumptive Benefits Based on Bi-Level Programming. Transactions of China Electrotechnical Society, 2015, 30(8): 247-256.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2015/V30/I8/247

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