Coordinated Optimization for Day-Ahead and Intra-Day Opertation of Island Micro-Grid Considering Energy Storage

doi:10.16628/j.cnki.2095-8188.2021.02.013

Abstract

Abstract:

The islanded micro-grid system has no support from the main grid and only relies on internal micro-sources to feed itself.Therefore,it is of great significance to develop a reasonable operation scheme for islanded micro-grid to operate safely and economically.Considering the different roles of the energy storage system in the operation of the micro-grid,the multi-objective optimal operation model of micro-grid was established with the optimization objectives regarding economy,reliability,energy utilization efficiency,peak-valley difference,and fluctuation of equivalent load.Based on the forecast of wind power,photovoltaic power,and load,the model optimizes the operation of micro-grid at both day-ahead and within-day scales.The day-ahead optimization scheme is taken as a reference for withim-day optimization scheme and can be revised if necessary.The model is transformed into a single objective optimization problem by using fuzzy theory and binary contrast weighting method.The mixed integer programming model is solved by CPLEX software to obtain optimal scheme for the operation of the islanded micro-grid.The model can improve the reliability and efficiency of micro-grid.Simulation analysis is conducted to verify the operation scheme proposed in this paper.

Key words: island micro-grid system, energy storage system, multi-objective optimization, mixed integer programming

CLC Number:

TM732

KONG Yukai, WEN Buying, ZHU Zhenshan, TANG Yuchen. Coordinated Optimization for Day-Ahead and Intra-Day Opertation of Island Micro-Grid Considering Energy Storage[J]. LOW VOLTAGE APPARATUS, 2021, 0(2): 65-74.

Figures/Tables 10

References 20

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设备项目	额定功率/kW	运维成本/(元·kWh^-1)
WT	250	0.040
PV	100	0.009
MT	65	0.128
FC	40	0.029
ESS	40	0.045

污染物类型	治污费用 /(元·kg^-1)	污染物排放系数/(g·kW^-1)
污染物类型	治污费用 /(元·kg^-1)	PV	WT	MT	FC
CO₂	0.21	0	0	724.600	635.040
SO₂	14.84	0	0	0.004	0
NOx	62.96	0	0	0.020	0.023

优化目标	f₁ /元	f₂ /kWh	f₃ /kWh	f₄ /kW	f₅ /kWh
优化结果	1 449.500	67.614	1 027.400	105.000	559.996
隶属度	0.129	0.094	0.028	0.301	0.154

策略	隶属度								综合隶属度
策略	f₁	f₂		f₃		f₄		f₅	综合隶属度
经济性最优	0		1.000		0.051		1.000		0.178	0.365
可靠性最优	0.283		0		0.214		1.000		0.812	0.291
能源效率最高	0.038		0.989		0		1.000		0.971	0.435
峰谷差最小	0.530		1.000		0.549		0		1.000	0.662
平抑波动最优	1.000		1.000		1.000		1.000		0	0.915
多目标最优	0.129		0.094		0.028		0.301		0.154	0.117

策略	f₁/元	f₂/ kWh	f₃/ kWh	f₄/kW	f₅/ kWh
经济性最优	1 132.2	224.819 9	1 068.5	300	661.40
可靠性最优	1 827.5	51.218 9	1 351.8	300	2 638.34
能源效率最高	1 225.3	222.885 2	979.2	300	3 141.50
峰谷差最小	2 434.3	224.819 9	1 937.5	21	3 231.90
平抑波动最优	3 590.9	224.819 9	2 723.3	300	72.01