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提升火电机组AGC性能的混合储能优化控制与容量规划
引用本文:牛阳,张峰,张辉,梁军,杨立滨,宋光辉.提升火电机组AGC性能的混合储能优化控制与容量规划[J].电力系统自动化,2016,40(10):38-45.
作者姓名:牛阳  张峰  张辉  梁军  杨立滨  宋光辉
作者单位:电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061,电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061,国网山东省电力公司, 山东省济南市 250001,电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061,国网青海省电力公司电力科学研究院, 青海省西宁市 810000,国网山东省德州市供电公司, 山东省德州市 253000
基金项目:国家自然科学基金资助项目(51307101);山东省优秀中青年科学家科研奖励基金计划资助项目(BS2013NJ011);青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A)
摘    要:以铅酸电池和全钒液流电池组成的混合储能为例,针对常规机组调频的固有特点,研究了混合储能装置配合传统机组参与自动发电控制(AGC)的充放电策略和最优容量配置计算方法。首先,针对常规机组调频的特点,提出一种考虑抑制反向调频、死区振荡、储能装置过度放电、荷电状态水平强制归位的优化控制策略;其次,综合考虑配置储能装置成本和发电侧调频收益,构建储能装置系统经济运行优化函数的容量规划模型;最后,根据某发电厂实际运行数据进行仿真计算,利用粒子群优化算法求解,结果表明该方法的调频效果、运行经济性等比常规机组调频均有提升。

关 键 词:自动发电控制  频率调节  混合储能  充放电策略  容量规划
收稿时间:2015/7/24 0:00:00
修稿时间:2016/3/24 0:00:00

Optimal Control Strategy and Capacity Planning of Hybrid Energy Storage System for Improving AGC Performance of Thermal Power Units
NIU Yang,ZHANG Feng,ZHANG Hui,LIANG Jun,YANG Libin and SONG Guanghui.Optimal Control Strategy and Capacity Planning of Hybrid Energy Storage System for Improving AGC Performance of Thermal Power Units[J].Automation of Electric Power Systems,2016,40(10):38-45.
Authors:NIU Yang  ZHANG Feng  ZHANG Hui  LIANG Jun  YANG Libin and SONG Guanghui
Affiliation:Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University), Jinan 250061, China,Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University), Jinan 250061, China,State Grid Shandong Electric Power Company, Jinan 250001, China,Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University), Jinan 250061, China,Electric Power Research Institute, State Grid Qinghai Electric Power Company, Xining 810000, China and Dezhou Supply Company, State Grid Shandong Electric Power Company, Dezhou 253000, China
Abstract:By taking the hybrid energy storage system(ESS)composed of the value regulated lead acid(VRLA)battery and the vanadium redox battery(VRB)as an example, in view of the intrinsic characteristics of conventional unit frequency regulation, a charge and discharge strategy and optimal capacity planning of hybrid ESS participating in the automatic generation control(AGC)by assisting conventional units is studied. Firstly, according to the characteristics of conventional unit frequency regulation, an optimal control strategy taking into account the suppression of reverse frequency regulation, dead zone oscillation, ESS over discharge, and forced state of charge(SOC)homing is proposed. Secondly, considering the cost of ESS configuration and the frequency regulation income of power generating units, a capacity planning model is developed. Finally, based on the particle swarm optimization(PSO)algorithm, the simulating calculation of the actual operation data of a power station is conducted. The results show that the frequency regulation performance and the running cost of the method are both better than those of the conventional unit frequency regulation.This work is supported by National Natural Science Foundation of China(No. 51307101), Science and Technology Foundation for Middle-age and Young Scientist of Shandong Province(No. BS2013NJ011).
Keywords:automatic generation control(AGC)  frequency regulation  hybrid energy storage  charge and discharge strategy  capacity planning
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