Community microgrid energy management considering electric vehicles and demand response

doi:10.19799/j.cnki.2095-4239.2020.0312

Abstract

Abstract:

The energy management problem of microgrids in an independent community is investigated in this paper. A multiobjective optimization mathematical model of microgrids considering electric vehicle charging or discharging and demand response (DR) is constructed, and an energy management strategy including load and source-load levels is proposed. Charging or discharging electric vehicles is orderly guided in the load level according to the owner's travel habits and time-of-use electricity price to reduce the microgrids' peak-valley difference. The load curve is optimized at the source-load level by adjusting the residential electricity consumption method through DR. PV, battery energy system, and electric vehicles are used preferentially. The car's output and the remaining "net load" are absorbed by the micro-gas-turbine to minimize the operating cost of the microgrid, the amount of polluting gas emissions, and the energy waste rate. According to the model's multiobjective, multiconstraint, nonlinear, and other characteristics, a nondominated sorting genetic algorithm with elite strategy is used to solve, compare, and analyze the operations of typical community microgrids with different energy management schemes. The correctness and effectiveness of the optimization model and strategy are verified.

Key words: electric vehicle, genetic algorithm, community micro-grid, energy management, demand response

CLC Number:

TM 732

Yanjuan LU, Youqin CHEN, Tinglong PAN. Community microgrid energy management considering electric vehicles and demand response[J]. Energy Storage Science and Technology, 2021, 10(2): 617-623.

Figures/Tables 12

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类型	能量成本系数/CNY·(kW·h)^-1	运维系数/CNY·(kW·h)^-1
PV	0	0.01015
MT	0	0.04228
BES	1190	0.02898

类型	排放系数/kg·(kW·h)^-1	排放成本/CNY·kg^-1
CO₂	0.0016	0.09
SO₂	0.000008	6.64
NO_x	0.00044	27.93

电动汽车模式	峰谷差/kW·h	负荷率	峰谷差率
无序充电	187.2	66.5%	60.3%
有序充放电	99.4	84.7%	41.9%

电动汽车需求侧响应	运行成本/元	气体排放/kg	能源浪费率
考虑	360.6	3.7	29.8%
不考虑	375.3	3.85	33.2%

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