Optimal Configuration of Optical Storage Micro-grid Hybrid Energy Storage Capacity Based on IPMOCSA

doi:10.11985/2021.03.021

Abstract

Abstract:

Aiming at the capacity optimization allocation problem of hybrid energy storage in photovoltaic micro-grid, the system economic optimization model was established by taking the interactive power cost of micro-grid and large grid as the objective, and an improved multi-objective crow search algorithm is proposed to solve the problem and obtain the optimal allocation results. Considering the time-of-use electricity price to design the system operation strategy of the micro-grid, establish the operating cost model of the system, and build the investment model of different types of energy-storing media. Using improved multi-objective crow search algorithm as the goal of economic optimization, the optimal allocation ratio of different types of energy storage media is obtained, and the multi-objective particle swarm optimization is used to verify the examples. The results show that the proposed improved multi-objective crow search algorithm solution has higher accuracy and convergence speed. The cost of hybrid energy storage configuration is saved by 5.13%, and the configuration method has certain reference for practical applications.

Key words: Micro-grid, hybrid energy storage, capacity configuration, crow search algorithm

CLC Number:

TM761

WANG Hongyan, WANG Yiyan, CHEN Jingwen, XIAO Yan, MO Ruirui. Optimal Configuration of Optical Storage Micro-grid Hybrid Energy Storage Capacity Based on IPMOCSA[J]. Journal of Electrical Engineering, 2021, 16(3): 152-160.

Figures/Tables 13

References 19

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Price(t)	ΔP(t)	SOC_G(t)<SOC_G_max SOC_N(t)<SOC_N_max	SOC_G(t)>SOC_G_max SOC_N(t)>SOC_N_max	SOC_G(t)>SOC_G_min SOC_N(t)>SOC_N_min	SOC_G(t)<SOC_G_min SOC_N(t)<SOC_N_min
Price_min	ΔP<0	M1：电网给负荷供电,同时给储能充电,若光伏存在,将光伏能量存储	M2：将光伏供给负荷	—	—
Price_ave Price_max	ΔP>0	M3：光伏优先给负荷供电,余电给储能充电	M4：余电上网	—	—
Price_ave Price_max	ΔP<0	—	—	M5：光伏+储能给负荷供电	M6：电网给负荷供电

性能指标	锂电池	超级电容
c_c/[元/(kW·h)]	3 500	6 000
c_g/(元/kW)	1 050	1 050
SOC_min	0.25	0.2
SOC_max	0.9	0.9
η_c(%)	0.9	0.9
η_f(%)	0.9	0.9
放电深度(%)	80	85
c_h/(元/kW)	1 085	550
c_q/[元/(kW·h)]	0	310
维护成本/[元/(kW·a)]	170	120
理论寿命/a	10	10

配置项		粒子群算法		改进乌鸦算法
配置项		锂电池	超级电容	锂电池			超级电容
光伏总容量/kW		181		181
占比		0.706	0.294	0.739		0.261
储能容量/(kW·h)		444.78	133.77	223.25		118.76
最大负荷日成本/元		1 839.792		1 752.934
日均投资总成本/元	1 694.264			1 607.406
年投资总成本/元		618 406.360			586 703.190