Output Power Optimization of Photovoltaic and Energy Storage Hybrid System Based on Fuzzy Control Algorithm

doi:10.11930/j.issn.1004-9649.202406062

Abstract

Abstract:

Aiming at the power allocation problem of multiple energy storage converters in existing photovoltaic and energy storage hybrid systems, an optimized output power strategy for photovoltaic and energy storage hybrid systems based on a fuzzy control algorithm is proposed. This strategy formulates corresponding fuzzy sets and membership functions based on the relationship between the transmission power of energy storage converters and the health characteristics of batteries. Using fuzzy control algorithm, when the temperature of the energy storage unit is lower than or higher than the preset warning temperature, the strategy combines the aging law and the health factor coefficient of the energy storage unit to optimize power distribution. This effectively reduces energy losses in the energy storage units and extends battery life. Simulation results show that, compared with traditional control strategies, the proposed strategy can slow down the aging rate of batteries by 19.1% under the same energy storage capacity consumption, and effectively mitigate the rapid temperature rise and energy loss of energy storage units. Overall, it enhances the safety and economy of the photovoltaic and energy storage hybrid system.

Key words: energy storage system, multiple energy storage converter, fuzzy control, warning temperature of the energy storage unit, battery life, economy

XIAO Xiangqi, ZOU Sheng, HE Xing, XIAO Jianhong, MA Bin. Output Power Optimization of Photovoltaic and Energy Storage Hybrid System Based on Fuzzy Control Algorithm[J]. Electric Power, 2025, 58(6): 67-75.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202406062

https://www.electricpower.com.cn/EN/Y2025/V58/I6/67

Figures/Tables 11

References 31

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参数	数值	参数	数值
储能直流侧电压/V	800	PCS额定运行功率/kW	15
电网电压/V	380	PCS转换功率下限/kW	6
储能交流侧电感/mH	21	S_OH1/%	95
S_OH2/%	90	S_OH3/%	85

参数	数值	参数	数值
储能直流侧电压/V	800	PCS额定运行功率/kW	15
电网电压/V	380	PCS转换功率下限/kW	6
储能交流侧电感/mH	21	S_OH1/%	95
S_OH2/%	90	S_OH3/%	85

控制策略	场景	P_ref/ kW	THD/ %	P_batt1/ kW	P_batt2/ kW	P_batt3/ kW	I_dc1/ A	I_dc2/ A	I_dc3/ A	消耗电池额定容量160% 下的老化循环圈数
本文控制策略	1	15	2.50	7.70	7.30	0.0	18.0	17.0	0.0	0.6980
	2	18	2.30	9.30	8.70	0.0	21.7	20.3	0.0	0.7390
	3	23	2.54	8.13	7.67	7.2	19.2	18.0	16.8	0.7040
	4	30	2.23	10.60	10.00	9.4	24.7	23.3	21.9	0.7620
	5	42	1.45	14.80	14.00	13.2	34.6	32.7	30.7	0.8471
传统控制策略	1	15	1.31	15.00	0.00	0.0	35.0	0.0	0.0	0.862 5
	2	18	1.94	15.00	3.00	0.0	35.0	7.0	0.0	0.808 9
	3	23	1.63	15.00	8.00	0.0	35.0	19.0	0.0	0.813 1
	4	30	1.32	15.00	15.00	0.0	35.0	35.0	0.0	0.8625
	5	42	1.46	15.00	15.00	12.0	35.0	35.0	28.0	0.8433

控制策略	场景	P_ref/ kW	THD/ %	P_batt1/ kW	P_batt2/ kW	P_batt3/ kW	I_dc1/ A	I_dc2/ A	I_dc3/ A	消耗电池额定容量160% 下的老化循环圈数
本文控制策略	1	15	2.50	7.70	7.30	0.0	18.0	17.0	0.0	0.6980
	2	18	2.30	9.30	8.70	0.0	21.7	20.3	0.0	0.7390
	3	23	2.54	8.13	7.67	7.2	19.2	18.0	16.8	0.7040
	4	30	2.23	10.60	10.00	9.4	24.7	23.3	21.9	0.7620
	5	42	1.45	14.80	14.00	13.2	34.6	32.7	30.7	0.8471
传统控制策略	1	15	1.31	15.00	0.00	0.0	35.0	0.0	0.0	0.862 5
	2	18	1.94	15.00	3.00	0.0	35.0	7.0	0.0	0.808 9
	3	23	1.63	15.00	8.00	0.0	35.0	19.0	0.0	0.813 1
	4	30	1.32	15.00	15.00	0.0	35.0	35.0	0.0	0.8625
	5	42	1.46	15.00	15.00	12.0	35.0	35.0	28.0	0.8433

名称	参数	名称	参数
电池类型	LiNiMnCoO₂	电池规格	2.2 mg*180(mA·h·g^–1)
充电截止电压/V	4.3	放电截止电压/V	2.5
在C/5下的标称容量/(mA·h)	0.4	电压保护上限/V	5
电压保护下限/V	0.5	脉冲精度/ms	1
恒温箱温度/℃	30