1. 电力传输与功率变换控制教育部重点实验室(上海交通大学), 上海市 200240;2. 上海交通大学机械与动力工程学院, 上海市 200240; 3. 广州供电局有限公司, 广东省广州市 510620
1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education(Shanghai Jiao Tong University), Shanghai 200240, China; 2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;3. Guangzhou Power Supply Bureau Co., Ltd., Guangzhou 510620, China
The planning of a regional integrated energy system(RIES)faces many challenges because of its extensive involvement of multiple energy forms coupling, such as electricity/gas/heating/cooling. Improving the efficiency of energy utilization is an important task for RIES planning. The traditional energy efficiency only takes into account the change of energy in quantity, but ignores that in quality, which is impossible to accurately measure the energy utilization level of a RIES. In this paper, exergy efficiency considering both the quantity and the quality of energy is proposed as the standard for measuring the energy utilization level of RIES. Firstly, the concept of energy quality coefficient(EQC)is defined to quantify the differences among different energy forms, and the exergy efficiency calculation method of RIES is proposed. Secondly, a five-level energy hub model is established to deal with multi-energy coupling problems and ensure regional energy supply and demand balance. Thirdly, the multi-objective planning model with objectives of economy and exergy efficiency is proposed, and a bi-level optimization structure is designed considering both planning and operation, and the improved non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)and interior-point method are jointly used to realize the high-efficient solving of the model. A certain RIES in Guangzhou is selected as the case study to verify the proposed method.
HU Xiao, SHANG Ce, CHEN Dongwen,et al.Multi-objective Planning Method for Regional Integrated Energy Systems Considering Energy Quality[J].Automation of Electric Power Systems,2019,43(19):22-31. DOI:10.7500/AEPS20190318006.