Multi-objective Optimal Dispatch of Electricity-Gas-Heat Integrated Energy System Considering Comprehensive Energy Efficiency

被引：0
|
作者：
Ding Y. [1 ]
Chen H. [1 ]
Wu J. [1 ]
Lou Q. [2 ]
Liao J. [1 ]
Li B. [1 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] NR Electric Co., Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 02期
关键词：
Comprehensive energy efficiency; Day-ahead dispatch; Fractional programming; Integrated demand response; Integrated energy system; Multi-objective optimization;
D O I：
10.7500/AEPS20200811002
中图分类号：
学科分类号：
摘要：
A multi-objective optimal dispatch model of the integrated energy system (IES) and its solution method are proposed for fully tapping the energy use potential on the energy use side of the IES to further improve the energy utilization efficiency. Taking into account the coordinated optimization of the energy supply side and the energy use side, a comprehensive energy efficiency model considering integrated demand response is established and the optimization objectives are introduced. Aiming at the lowest system economic cost and the highest comprehensive energy efficiency, the multi-objective optimal dispatch model of the electricity-gas-heat IES is established. Charnes-Cooper transform is used to linearize the comprehensive energy efficiency objective, so as to solve the fractional programming problem accurately and quickly. And the improved ε-constraint method is used to obtain the Pareto frontier set. A coupling system with modified IEEE 24-bus power network, Belgian 20-bus natural gas network and the 14-bus heat network is used to analyze the system economic costs and comprehensive energy efficiency in four scenarios. Results show that the proposed method can guide power users and multi-energy users to choose comprehensive demand response behaviors, and can further improve the overall energy efficiency of IES through collaborative optimization on both sides of supply and demand. It also verifies the feasibility of optimal dispatch results for balancing the economic and efficient operation objectives of IES. © 2021 Automation of Electric Power Systems Press.
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页码：64 / 73
页数：9
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