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作 者:杨晓萍[1] 王旭花 薛媛 彭博阳 李湃 Yang Xiaoping;Wang Xuhua;Xue Yuan;Peng Boyang;Li Pai(School of Water Resources and Hydropower,Xi'an University of Technology,Xi'an 710048,China;China Electric Power Research Institute,Beijing 100192,China)
机构地区:[1]西安理工大学水利水电学院,西安710048 [2]电力科学研究院,北京100192
出 处:《太阳能学报》2020年第5期91-97,共7页Acta Energiae Solaris Sinica
摘 要:针对风电出力的不确定性和波动性在电力系统调度中引起的能量不平衡,在离散时间平均模型的基础上,考虑调度计划的可实现性,引入积分约束,同时将需求侧响应和储能技术纳入,建立以弃风量最小为目标的能量可实现短期联合优化调度模型。并将含积分约束的调度模型转化为线性目标函数和非线性约束的凸规划问题进行求解。实际算例的结果表明,该文提出的优化调度模型在考虑能量可实现的基础上增加电力系统对风电的消纳能力,凸规划的求解方法能快速获得全局最优解。To the uncertainties and volatility of wind power,it can lead the energy unbalance,propose a short time optimal power dispatch model. Using the model with integral constraint to replace the frequent-used discrete time based average power model. The method is based on an exact formulation and detailed analysis of the electrical energy produced by conventional generators. And adding the demand side reaction and energy storage system into the model,building a nonlinear programming model which the object function is the minimum of wind curtailment. Because the local optimal solution of convex programming is equal to the global optimal solution,The optimal power dispatch model can be turned into a simple convex function for optimal solution. Numerical results show that the optimization model presented in this paper can give an energy based assessment of the wind integration capacity.
关 键 词:风电 能量平衡 凸规划 优化调度 积分约束 风电消纳
分 类 号:TK743[动力工程及工程热物理—流体机械及工程]
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