大规模风电接入输电网的源网联合规划
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引用本文:薛静玮1,吴晓升2,叶荣1,林章岁1,江岳文2.大规模风电接入输电网的源网联合规划[J].电网与清洁能源,2019,35(3):68~74
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作者单位
薛静玮1 1.国网福建省电力有限公司经济技术研究院 
吴晓升2 2.福州大学 电气工程与自动化学院 
叶荣1 1.国网福建省电力有限公司经济技术研究院 
林章岁1 1.国网福建省电力有限公司经济技术研究院 
江岳文2 2.福州大学 电气工程与自动化学院 
基金项目:国家自然科学基金资助项目(51707040)
中文摘要:随着电网中风电比重的不断提高,电网有限的输电能力造成的输电阻塞和弃风现象严重制约了风电的消纳。为提高风电的消纳能力,同时考虑电源和电网规划运行,以系统建设运行成本与弃风水平最小化为目标建立源网联合规划双层模型:外层-源网规划模型主要关注长时间尺度的系统网架规划问题,以系统建设运行成本和弃风水平最小为多目标;内层-系统运行模型主要关注短时间尺度的系统运行问题,以系统运行成本最小为单目标。通过改进型非劣分类遗传算法(NSGA-II)和CPLEX联合求解,得到风电最优的接入选址和输电网最佳扩容方案。通过算例分析了不同规划场景下的优化方案,所提规划模型能够有效提高风电消纳水平,减少系统投资运行成本。
中文关键词:风电  源网联合规划  双层优化  风电消纳
 
Source-Network Joint Planning for Large-Scale Wind Power Connected to Transmission Grid
Abstract:With the continuous increase of the proportion of wind power in the power system, the transmission congestion and wind curtailment caused by the limited transmission capacity of the power grid poses a serious restrict to the consumption of wind power. In order to improve the capacity of wind power consumption and comprehensively consider the planning and operation of the power source and grid, the source network joint planning two-layer model is established with the goal of minimizing system construction and operation cost and wind curtailment level. The outer-source network planning model focuses on the system grid planning problem at a long-term scale, with the minimum of the system construction and operation cost and the lowest level wind curtailment as the multi-objective. The inner-system operation model mainly focuses on the system operation problem at a short-time scale with the minimum system operating cost as the single objective. The Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and CPLEX are jointly applied to obtain the optimal connection location of wind power and the optimal expansion planning of the transmission grid. The optimization planning under different planning scenarios is analyzed by the analysis of examples, and the result shows that the planning model proposed in this paper can effectively improve the level of wind power consumption and reduce the operating cost of the system.
keywords:wind power  the source network joint planning  two-layer optimization  wind power accommodation
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