Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage

Protection and Control of Modern Power Systems

Ian Schomer¹  Qingxin Shi¹  Cheng Zhou²  Sai Liu³  Tiancheng E. Song⁴  Yu Liu⁴  Haomin Guo⁵ 

[1] Enliten Lab, University of Tennessee, 37996, Knoxville, TN, USA;Kunshan Power Supply Branch Company, State Grid Jiangsu Electric Power Co., Ltd., 215300, Kunshan, Jiangsu Province, China;Maintenance Branch Company, State Grid Jiangsu Electric Power Co., Ltd., 211102, Nanjing, Jiangsu Province, China;School of Electrical Engineering, Southeast University, 210096, Nanjing, Jiangsu Province, China;Xiamen Power Supply Company, State Grid Fujian Electric Power Co., Ltd., 361004, Xiamen, Fujian Province, China;

关键词: Building-level integrated energy system;    Energy storage;    Additional potential benefits;    Bi-level optimization;   

DOI  :  10.1186/s41601-021-00184-0

来源: Springer

【 摘 要 】

As a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.

【 授权许可】

CC BY