提升火电机组AGC性能的混合储能优化控制与容量规划

NIU Yang

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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

更新时间：2025-08-13

- 提升火电机组AGC性能的混合储能优化控制与容量规划
- Automation of Electric Power Systems Vol. 40, Issue 10, Pages: 38-45(2016)
- 作者机构：
  
  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
- 作者简介：
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- Published：2016
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NIU Yang. [J]. Automation of electric power systems, 2016, 40(10): 38-45.
DOI：

NIU Yang. [J]. Automation of electric power systems, 2016, 40(10): 38-45. DOI：

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。

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).

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