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作 者:石俊逸 贾燕冰[1,2] 韩肖清[1,2] 刘佳婕 郭强 孙亮 Shi Junyi;Jia Yanbing;Han Xiaoqing;Liu Jiajie;Guo Qiang;Sun Liang(Key Laboratory of Cleaner Intelligent Control on Coal&Electricity,Ministry of Education,Taiyuan University of Technology,Taiyuan 030024,China;Shanxi Key Laboratory of Power System Operation and Control,Taiyuan University of Technology,Taiyuan 030024,China;State Grid Shanxi Comprehensive Energy Service Co.,Ltd.,Taiyuan 030001,China)
机构地区:[1]太原理工大学煤电清洁控制教育部重点实验室,太原030024 [2]太原理工大学电力系统运行与控制山西省重点实验室,太原030024 [3]国网山西省综合能源服务有限公司,太原030001
出 处:《太阳能学报》2024年第8期503-512,共10页Acta Energiae Solaris Sinica
基 金:国家自然科学基金联合基金重点项目(U1910216);国家自然科学基金青年项目(51807129)。
摘 要:以大规模多风电场接入电力系统的一次调频备用容量为研究对象,首先通过引入风电出力预测误差的概率分布描述系统的不确定性因素,考虑风储一次调频备用总成本最小为目标;然后建立基于机会约束规划的多风电场联合共享储能参与一次调频的容量优化模型;最后提出基于快速傅里叶变换快速求解联合变量概率分布的改进p-有效点法通过数学解析将机会约束规划从形式上转化为确定性规划,再通过Yalmip调用Cplex实现模型的快速求解。算例结果表明,所提模型和方法可有效提高风储调频效果和收益,且具有更高的求解效率。The primary frequency regulation reserve capacity of large-scale multi-wind farms connected to the power system is taken as the research object.Firstly,the uncertainty factors of the system are described by introducing the probability distribution of wind power output prediction error,and the minimum total cost of primary frequency regulation reserve of wind power and energy storage is considered as the goal.Then,a capacity optimization model of multi-wind farms joint sharing energy storage participating in primary frequency regulation based on chance-constrained programming is established.Finally,an improved p-effective point method based on a fast Fourier transform to quickly solve the probability distribution of joint variables is proposed to transform the chance-constrained programming into deterministic programming through mathematical analysis.Then Cplex is called by Yalmip to realize the fast solution of the model.The results of the example show that the proposed model and method can effectively improve the effect and benefit of windstorage frequency regulation,and have higher solution efficiency.
关 键 词:风电场 调频 储能 机会约束规划 快速傅里叶变换 p-有效点法
分 类 号:TM614[电气工程—电力系统及自动化]
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