Journal of South China University of Technology(Natural Science Edition)

• Energy, Power & Electrical Engineering • Previous Articles     Next Articles

Research on Multi-objective Optimization of Energy Storage Configuration in Park Integrated Energy System Based on Annual Dynamic Simulation

Yao Shunchun1  Li Xiaolong1   Liu Zeming1  Lu Zhimin1  Qin Huaiqing1 Lin Yue1   Wang Pingxin2   Li Guimin3  Wang Qing4   

  1. 1. School of Electric Power/ Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization/ Guangdong Engineering Technology Center for High-Efficiency and Low-Pollution Conversion of Energy, South China University of Technology, Guangzhou 510640, Guangdong, China;

    2. State Grid Shandong Electric Power Company Marketing Service Center (Measurement Center), Jinan 250001, Shandong, China;

    3. State Grid Shandong Electric Power Company, Jinan, 250001, Shandong, China

  • Published:2026-04-03

Abstract:

In recent years, integrated energy systems have been widely adopted as a crucial pathway for achieving the "dual carbon" goals. However, there still exist challenges related to source-load dynamic imbalance during actual operation. How to coordinate dynamic load demand with renewable energy output characteristics through energy storage configuration has become a key issue in promoting the low-carbon and economic synergistic operation of integrated energy systems. Therefore, the integrated energy system of a certain park in Yantai City, Shandong Province, was taken as the research object in this paper. Based on the annual cold and heat load and the existing equipment configuration, a dynamic simulation model on the annual time scale was constructed on the TRNSYS simulation platform. Moreover, considering the minimization of the annual cost and the annual life-cycle carbon emissions as multiple objectives, the installation tilt angle of photovoltaic modules, the azimuth angle, and the capacity of the battery were selected as optimization variables. Through the integration of the Hooke-Jeeves algorithm on the Genopt platform, multi-variable collaborative optimization was achieved. The results showed that when the tilt angle of the photovoltaic module was 33.06°, the azimuth angle was 5.88°, and the capacity of the battery was 269 kWh, the system achieved comprehensive optimization in terms of economic and environmental benefits. Compared with the initial scheme, the annual cost of the optimized scheme was reduced by 7.75%, and the annual life-cycle carbon emission reduction was 384.27 t. Meanwhile, due to the reduction in energy storage capacity, the dependence of the system on the external power grid during periods of insufficient renewable energy output increased, and the power supply proportion of the power grid increased from 61.04% to 61.68%. The dynamic simulation and multi-objective optimization framework developed in this study provides a quantitative basis for the optimal design of park-level integrated energy systems and serves as a valuable reference for promoting the low-carbon transition of regional energy systems.

Key words: energy storage configuration, integrated energy system, annual cost, annual life-cycle carbon emission