电动汽车参与风电场输出功率波动平抑方法研究
摘要：由于风电固有的随机性与间歇性，使得风电场输出功率往往具有较大的波动。然而考虑到储能装置的昂贵成本，单独为风电场配置储能装置不利于其经济运行。为此，文中针对考虑电动汽车参与的风电场输出功率波动平抑方法进行了研究。根据国家标准中风电“有功功率变化”的要求，通过爬坡率概念来描述风电场输出功率变化率。采用鲁棒优化的方法处理风电出力的不确定性，建立风电机组和电动汽车协调控制的双层优化模型：上层模型决策者是风电场，以风电场售电收益最大化为目标函数；下层模型决策者是电动汽车车主，以电动汽车电费支出成本最小化为目标函数。通过线性规划对偶定理和Karush-KuhnTucker（KKT）最优性条件将此鲁棒优化模型转化为混合整数线性规划问题进行求解。最后，通过仿真结果验证了所提模型和方法的有效性。
Abstract:Owing to the inherent randomness and intermittency of wind power, the output power of wind farm tends to fluctuate greatly. However, considering the high cost of energy storage device, it is not good for the wind farm to configure energy storage device. This paper studies the fluctuation of output power fluctuation in the wind power field considering the participation of electric vehicles. Firstly, according to the requirement of the national standard of stroke, "active power change", the rate of output power of wind farm is described by the concept of climbing rate. Then, using the robust optimization method to deal with the uncertainty of wind power, wind turbines and electric cars, coordinated control of bi-level optimization model:the upper model decision makers is a wind farm, with wind farms sell electricity utility maximization as the objective function; The lower-level model decision makers are electric car owners, and the cost of electric power costs is minimized to the target function. In addition, this robust optimization model is transformed into a hybrid integer linear programming problem by using the linear programming dual theorem and Karush-Kuhn Tucker (KKT) optimality conditions. Finally, the effectiveness of the proposed model and method is verified by simulation.
标题：电动汽车参与风电场输出功率波动平抑方法研究
title:Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles
作者：陈宇,彭潇,丁婧,王亚洲,邵敬平
authors:Yu CHEN,Xiao PENG,Jing DING,Yazhou WANG,Jingping SHAO
关键词：风电场,电动汽车,功率波动,鲁棒优化,双层优化,
keywords:wind farm,electric vehicle,power fluctuation,robust optimization,double layer optimization,
发表日期：2019-02-28
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