TY - GEN
T1 - Research on the Collaborative Optimization of Configuration and Scheduling Strategy of All Renewable Energy Multi-energy Complementary System
AU - Chen, Xin
AU - Huang, Wenlong
AU - Gu, Yangguang
AU - Chen, Haijun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - the design of a set of all renewable energy multi-energy complementary coupling energy supply system is made to realize the goal of 'double carbon' and increase the proportion of renewable energy consumption. For the user side, it conducts the load simulation calculation and resource endowment analysis. Through the comprehensive consideration on the economy and environmental protection of the system, the multi-objective mixed integer linear programming method and Lingo software are used to establish the coordinated optimization model of system capacity allocation and energy scheduling strategy. The optimal capacity configuration and energy dispatching strategy of each unit of the system were obtained. The optimal capacity allocation of an all renewable energy multi-energy complementary coupled energy supply system to meet the cooling, heating and power load of a 500-unit household in Helingeer County is found. These are 1850 kW for the biogas power unit, 2900 kW for the wind power unit, 1000 kW for the photovoltaic unit, 5100 kW for the gas-fired lithium bromide air conditioning unit, and 1920 kW for the electricity storage unit.
AB - the design of a set of all renewable energy multi-energy complementary coupling energy supply system is made to realize the goal of 'double carbon' and increase the proportion of renewable energy consumption. For the user side, it conducts the load simulation calculation and resource endowment analysis. Through the comprehensive consideration on the economy and environmental protection of the system, the multi-objective mixed integer linear programming method and Lingo software are used to establish the coordinated optimization model of system capacity allocation and energy scheduling strategy. The optimal capacity configuration and energy dispatching strategy of each unit of the system were obtained. The optimal capacity allocation of an all renewable energy multi-energy complementary coupled energy supply system to meet the cooling, heating and power load of a 500-unit household in Helingeer County is found. These are 1850 kW for the biogas power unit, 2900 kW for the wind power unit, 1000 kW for the photovoltaic unit, 5100 kW for the gas-fired lithium bromide air conditioning unit, and 1920 kW for the electricity storage unit.
KW - all renewable energy
KW - capacity allocation
KW - multi energy complementary
KW - multi-objective optimal
KW - scheduling strategy
UR - http://www.scopus.com/inward/record.url?scp=85146253153&partnerID=8YFLogxK
U2 - 10.1109/ICMIAE57032.2022.00026
DO - 10.1109/ICMIAE57032.2022.00026
M3 - 会议稿件
AN - SCOPUS:85146253153
T3 - Proceedings - 2022 International Conference on Manufacturing, Industrial Automation and Electronics, ICMIAE 2022
SP - 100
EP - 105
BT - Proceedings - 2022 International Conference on Manufacturing, Industrial Automation and Electronics, ICMIAE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Manufacturing, Industrial Automation and Electronics, ICMIAE 2022
Y2 - 26 August 2022 through 28 August 2022
ER -
