A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response

doi:10.16183/j.cnki.jsjtu.2022.378

Abstract

Abstract:

In order to reduce the forecast output error caused by the randomness and volatility of renewable energy in microgrid operation, a microgrid energy management strategy considering carbon quota guided demand response is proposed. A two-layer model predictive control (MPC) energy management model is constructed. The upper layer guides electric vehicles to participate in the demand response of microgrid by constructing a carbon emission quota mechanism to realize the economic operation of microgrid and reduce carbon emissions. The lower layer uses the model predictive control rolling optimization and the power fluctuation caused by the prediction error of renewable energy is suppressed by the short time scale model predictive control. The results of calculation analysis show that the proposed energy management strategy can effectively guide electric vehicles or other controllable loads to participate in demand response and realize low-carbon economic dispatch and stable operation of microgrid.

Key words: microgrid, energy management, model predictive control (MPC), carbon quota, demand response

CLC Number:

TM734

JIANG Enyu, CHEN Yu, SHI Zhengjing, WU Zhecheng, LIN Shunfu, LI Dongdong. A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response[J]. Journal of Shanghai Jiao Tong University, 2023, 57(9): 1126-1136.

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类别	额定容量/ (kW·h)	P_min/ kW	P_max/ kW	S_min/ %	S_max/ %	充放电效率/%
电动汽车(EV)	24	-4.8	4.8	20	100	95
超级电容(SC)	1	-10	10	0	100	100

类别	微电网购售电成本/元	电动汽车寿命成本/元	微网碳排放成本/元	运行成本/元	微网碳排放量/ kg
单层MPC	4.478	5.443	0	9.922	29.923
两层MPC	3.734	0.662	0	4.397	28.973
有碳配额	3.984	4.277	-5.558	2.702	12.446

类别	大电网功率偏差	电动汽车偏差
单层MPC	0.0794	0.1168
两层MPC	0.0589	0.0663
有碳配额	0.0592	0.0659