考虑市场竞价与接纳的海上风电场装机容量及布局分层优化  

Hierarchical Optimization of Installed Capacity and Layout of Offshore Wind Farm Considering Market Bidding and Acceptance

作　　者：张金辉 江岳文[1] ZHANG Jinhui;JIANG Yuewen(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,Fujian Province,China)

机构地区：[1]福州大学电气工程与自动化学院,福建省福州市350108

出　　处：《电网技术》2020年第10期3837-3845,共9页Power System Technology

基　　金：国家自然科学基金项目(51707040)。

摘　　要：文章提出了一种分层优化方法联合决策海上风电场的装机容量及风机布局。上层模型以装机容量等值年利润最大为目标决策海上风电场装机容量及布局,获得的装机容量及布局作为参数传递至下层;下层模型在考虑尾流效应影响后,以确定的布局、风速-风向数据计算海上风电场预测出力,作为其参与日前市场的投标出力约束;再构建以电力系统稳定运行为约束条件的日前市场竞价模型,将海上风电场的中标出力、节点电价及考虑因风电预测误差而在实时市场产生的惩罚成本作为参数传递至上层计算。通过求解双层优化模型可获得最佳装机容量及其风机布局。最后通过算例分析验证了所提优化方法的合理性与优越性。This paper proposes a hierarchical optimization method to determine the installed capacity of an offshore wind farm and the layout of the wind farm.The upper model takes the maximum annual profit of installed capacity as the goal to decide the installed capacity and layout of offshore wind farm.The obtained installed capacity and layout are transferred to the lower level as parameters.After considering the influence of wake effect,the lower layer model calculates the predicted output of the offshore wind farm with the determined layout,wind speed and direction,the output as a constraint of wind farm participating in the day ahead market bidding.Then,the day ahead market bidding model with the operating constraints is constructed.The bid winning output,marginal node price and penalty costs in real-time market due to wind power prediction error are transferred to the upper level as parameters.The optimal installed capacity and offshore wind farm layout can be obtained by solving the bi-level optimization model.The rationality and superiority of the proposed optimization method are verified by cases.

关 键 词：海上风电场 装机容量优化 风机布局优化 电力市场 风电投资利润 

分 类 号：TM614[电气工程—电力系统及自动化]