基于CEEMDAN功率分解的火电厂混合储能容量优化配置

doi:10.11985/2024.01.006

摘要/Abstract

摘要：

为了解决火电机组跟随自动发电量指令(Automatic generation control, AGC)响应延迟大、超调大等问题，提出一种基于完全噪声辅助聚合经验模态分解(Complete ensemble empirical mode decomposition with adaptive noise, CEEMDAN)的混合储能系统容量优化配置方法。首先，通过某时间段火电机组跟随AGC指令输出曲线，获得混合储能系统需要提供的功率。在此基础上，利用CEEMDAN将需求功率进行分解，获得不同频率下火电机组与AGC指令之间的误差。选择合适的储能元件，构建火电厂响应AGC指令的混合储能系统结构模型，在考虑能量型储能元件磷酸铁锂电池与功率型储能元件飞轮储能系统两类不同储能设备工作特性的情况下进行功率分配。在考虑储能系统荷电状态(State of charge, SOC)、容量与充放电功率等约束下，建立以综合成本最小为目标的容量优化配置模型，将功率分解结果与容量配置模型联合优化，获得最优功率分配情况和对应的储能配置方案。提供工程案例分析，结果表明所提方法可以有效弥补火电机组跟随AGC指令的延迟功率响应，提高火电机组供电可靠性和经济效益，同时相较于单一储能元件，本方案所设计混合储能系统拥有更优经济性。

关键词: AGC指令, 混合储能, CEEMDAN, 容量配置

Abstract:

In order to solve the problem of considerable delay and error in response to automatic generation control(AGC) instructions in thermal power generating units, a method for optimizing the capacity configuration of a hybrid energy storage system based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) is developed. First, the power required by the hybrid energy storage system is obtainedby following the AGC instructionand its response curve of the thermal power generating units over a certain period of time. Based on this, the demand power is decomposed by using CEEMDAN to yield the error between the AGC instruction and its response curve of the thermal power generating units at different frequencies. By selecting the appropriate energy storage components, a hybrid energy storage system structure model that cooperates in the response of the AGC instructions in the thermal power plant is constructed, and the power distribution is carried outunder the condition of considering the working characteristics of two different types of energy storage equipment: energy-type lithium iron phosphate battery and power-type flywheel battery. Finally, a capacity optimization configuration model is established with the objective of minimizing overall costs while accounting for constraints such as the state of charge(SOC) of the energy storage system, capacity, and charge/discharge power. The results of the power decomposition are optimized synergistically with the capacity configuration model to determine the optimal power allocation and corresponding energy storage configuration scheme. An example is demonstrated to verify the effectiveness of the proposed method in compensating for the delayed power response resulting in thermal power generating units with high reliability and economic efficiency. And compared with a single energy storage element, the hybrid energy storage system designed in this scheme has better economy.

Key words: AGC instruction, hybrid energy storage, complete ensemble empirical mode decomposition with adaptive noise, capacity confirguration

中图分类号:

TM761

戴申华, 王琨玥, 曹蓓, 张啸天, 高萧, 刘旭. 基于CEEMDAN功率分解的火电厂混合储能容量优化配置[J]. 电气工程学报, 2024, 19(1): 57-66.

DAI Shenhua, WANG Kunyue, CAO Bei, ZHANG Xiaotian, GAO Xiao, LIU Xu. Optimal Configuration of Hybrid Energy Storage Capacity in Thermal Power Plants Based on CEEMDAN Power Decomposition[J]. Journal of Electrical Engineering, 2024, 19(1): 57-66.

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放电深度(%)	循环寿命/次
20	34 957
40	19 985
60	10 019
80	3 221
100	2 600

对象	性能指标	数值
蓄电池	单位功率成本/(元/kW)	5 000
	单位容量成本/[元/(kW·h)]	2 000
	运维成本/[元/(kW·h)]	5×10^-3
	处置成本/(元/kW)	1
	处置成本/[元/(kW·h)]	1
	SOC上下限	(0.2, 0.8)
飞轮储能系统	单位功率成本/(元/kW)	2 000
	单位容量成本/[元/(kW·h)]	10 000
	运维成本/[元/(kW·h)]	7.5×10^-3
	SOC上下限	(0.50, 0.95)

参数	蓄电池	飞轮储能系统	CEEMDAN
P_bN/MW	30	—	18.57
C_bN/(MW·h)	30	—	18.57
P_fN/MW	—	30	36.03
C_fN/(MW·h)	—	27.40	4.94
成本/ (×10⁸ 元)	2.29	3.34	2.19