DOI:10.35833/MPCE.2021.000203 Operation Cost Optimization Method of Regional Integrated Energy System in Electricity Market Environment Considering Uncertainty Page view: 24        Net amount: 94 Author: Peng Li1, Fan Zhang1, Xiyuan Ma1, Senjing Yao1, Yuhang Wu2, Ping Yang2, Zhuoli Zhao3, Loi Lei Lai3 Author Affiliation: 1.Digital Grid Research Institute of China Southern Power Grid, Guangzhou 510663, China 2.Guangdong Key Laboratory of Clean Energy Technology, South China University of Technology, Guangzhou 510640, China 3.Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou 510006, China Foundation: This work was supported in part by the Research Project of Digital Grid Research Institute, China Southern Power Grid (No. YTYZW20010), in part by the Research and Development Program Project in Key Areas of Guangdong Province (No. 2021B0101230003), and in part by the National Natural Science Foundation of China (No. 51907031). Abstract: In the electricity market environment, the regional integrated energy system (RIES) can reduce the total operation cost by participating in electricity market transactions. However, the RIES will face the risk of load and electricity price uncertainties, which may make its operation cost higher than expected. This paper proposes a method to optimize the operation cost of the RIES in the electricity market environment considering uncertainty. Firstly, based on the operation cost structure of the RIES in the electricity market environment, the energy flow relationship of the RIES is analyzed, and the operation cost model of the RIES is built. Then, the electricity purchase costs of the RIES in the medium- and long-term electricity markets, the spot electricity market, and the retail electricity market are analyzed. Finally, considering the risk of load and electricity price uncertainties, the operation cost optimization model of the RIES is established based on conditional value-at-risk. Then it is solved to obtain the operation cost optimization strategy of the RIES. Verification results show that the proposed operation cost optimization method can reduce the operation cost of high electricity price scenario by optimizing the energy purchase and distribution strategy, constrain the risk of load and electricity price uncertainties, and help balance the risks and benefits. Keywords: Conditional value-at-risk ; electricity market ; uncertainty ; operation cost ; regional integrated energy system (RIES). Received:March 26, 2021               Online Time:2023/01/28 View Full Text       Download reader