微电网多目标鲁棒优化运行

doi:10.16180/j.cnki.issn1007-7820.2019.03.006

Abstract

Abstract:

Solving the randomness and volatility of the new energy output in the microgrid is the premise and key to the optimal operation of the microgrid. In this paper, the robust optimization theory was introduced into the operation optimization of microgrid, and the multi-objective robust optimization model of microgrid with wind power generation, micro gas turbine, distribution network and battery was constructed with the aim of running cost and environmental cost. The natural selection particle swarm optimization algorithm was performed to solve the proposed model. The simulation results showed that compared with the traditional deterministic optimization, the robust optimization sacrificed the economical, but the reliability of the microgrid operation was balanced, and the relationship between cost and risk was balanced. At the same time, multi-objective optimization balanced the economic and environmental protection of the microgrid, providing a reference for the optimal operation of the microgrid.

Key words: micro grid, robust optimization, operating risk, economic operation, multi-objective optimization, natural selection particle swarm optimization algorithm

CLC Number:

TN271

ZHANG Jinwei,LI Guoping. Economic Operation of Microgrid Considering Operational Risk and Customer Satisfaction[J].Electronic Science and Technology, 2019, 32(3): 26-31.

Figures/Tables 8

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References 16

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时段	购电	售电	时段表
峰时段	0.83	0.65	10:00-15:00 18:00-21:00
平时段	0.49	0.38	07:00-10:00 15:00-18:00 21:00-23:00
谷时段	0.17	0.13	00:00-07:00 23:00-24:00

类型	CO₂	SO₂	NO_X
MT	151.20	0.06	6.30
Grid	186.69	26.72	100.74

微电源种类	传统优化	鲁棒优化
风电	295.32	256.26
燃气轮机	917.54	1 064.14
蓄电池	152.47	80.82
配电网	696.31	638.53

目标函数	运行成本	环境成本	总成本
目标1	1 379.15	346.50	1 725.62
目标2	1 725.83	242.65	1 968.48
多目标	1 492.49	301.71	1 794.19

Economic Operation of Microgrid Considering Operational Risk and Customer Satisfaction

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