Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm

doi:10.16182/j.issn1004731x.joss.22-0072

Abstract

Abstract:

In view of the economic and environmental collaborative optimization of a microgrid with a micro gas turbine, power to gas(P2G) system with the ability to abandon wind and light for consumption and capture carbon is introduced, and a microgrid optimal scheduling model with P2G system based on novel biogeography-based optimization(NBBO) algorithm is proposed. The microgrid model with the P2G system is constructed, and the working principle of the main equipment is analyzed. The reserve capacity of a wind turbine is introduced to reduce the influence of the randomness of wind power generation. The objective function of minimizing the operating cost of the microgrid is established, and the proposed NBBO algorithm is used to solve the objective function. The analysis shows that the microgrid with a P2G system can reduce the power generation cost by 9.02% and the emission of carbon oxides by 25.9%, which verifies the feasibility of the proposed microgrid model with P2G system and the applicability and superiority of the improved algorithm.

Key words: microgrid, biogeography-based optimization algorithm, power to gas, low-carbon, strategy research

CLC Number:

TP18

Lisheng Wei, Benben Yang, Ruixia Sun. Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm[J]. Journal of System Simulation, 2023, 35(5): 1075-1085.

Figures/Tables 11

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设备	功率/kW	维护成本/(元/(kW·h))
风机	500	0.12
太阳能电池板	500	0.08
微型燃气轮机	600	0.01
P2G	600	0.50
电储能	80	0.02

场景	算法	经济性(元)	环保性/kg	弃风弃光率/%
含P2G	BBO	2 510.4	1 889.5	5.27
	GBBO	2 540.9	1 877.8	5.05
	本文算法	2 080.8	1 354.4	4.95
	均值	2 377.3	1 873.9	5.09
不含P2G	BBO	2 380.5	2 824.3	15.43
	GBBO	2 290.6	2 551.5	16.23
	本文算法	1 870.8	2 517.7	14.35
	均值	2 180.5	2 531.1	15.34

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