兼顾新能源穿透功率和风险的风光火打捆外送电源规划

Power Supply Planning for Wind-Photovoltaic-Thermal Bundled Transmission Considering Both Power Penetration and Risk of New Energy

随着特高压直流输电的发展,科学规划风光火打捆外送电源是充分发挥输电工程可靠性及其经济效能的前提。文中构建了兼顾新能源穿透功率极限和新能源出力反调峰及大波动风险的多目标优化配置模型,以保证输电工程的安全运行。为解决相互矛盾的优化目标,采用权系数法将所构建的多目标优化问题转化为单目标优化问题,通过引入博弈论思想确定权重系数以弥补权系数法主观性强的缺点,并设计嵌套的遗传算法对模型进行求解。对某地区电力系统进行实例规划,以验证上述多目标优化方法的有效性,结果表明所提规划模型能兼顾新能源穿透功率极限要求和新能源出力风险问题。

With the development of ultra-high voltage direct current（UHVDC）transmission,the scientific power supply planning for wind-photovoltaic-thermal bundled transmission is the premise of full realization of reliability and economic efficiency of the transmission project.This paper develops a multi-objective optimal allocation model considering both the penetration power limit of new energy and the anti-peak-shaving risk and large fluctuation risk of new energy output,to ensure the safe operation of the transmission project.In order to solve the optimization goal contradictory,the weight coefficient method is adopted to transform the developed multi-objective optimization problem into a single-objective optimization problem.The weight coefficients are determined by introducing the game theory,which can make up for the disadvantage of strong subjectivity of weight coefficient method.And the nested genetic algorithm（GA）is designed for solving the model.The example of power system planning in a certain area has verified the effectiveness of the proposed multi-objective optimization method,and the results show that the proposed programming model can take both the new energy penetration power limit and new energy output risk into account.