Operation optimization of integrated energy systems based on heat storage characteristics of heating network. Issue 2 (22nd November 2020)

• Record Type: Journal Article
• Authors: Pan, Ersheng; Li, Hui; Wang, Zhidong; Peng, Dong; Zhao, Lang; Fan, Lisha; Wang, Yongli; Huang, Feifei; Ma, Yang; Liu, Lin
• Is Part Of: Energy science & engineering. Volume 9:Issue 2(2021)
• Page Start: 223
• Page End: 238
• Publication Date: 2020-11-22
• Subjects: dynamic heat energy transfer -- economy -- integrated energy systems -- operation optimization -- virtual energy storage; Energy industries -- Periodicals; Energy development -- Periodicals; Power resources -- Periodicals; 621.042
• DOI: 10.1002/ese3.842
• Languages: English
• ISSNs: 2050-0505

Abstract

Abstract: With the development of multi‐energy technology, the electric‐heat integrated energy system has become an important research direction for multi‐energy joint supply. The dynamic characteristics and energy storage capacity of heat supply network provide potential for joint dispatching of electric heating energy system. Aiming at the problem of electric‐heat joint dispatching, this paper presents an operation optimization model of electric‐heat integrated energy system considering the virtual energy storage characteristics of heat supply network. Firstly, according to the characteristics of transmission delay and user temperature fuzzy, the virtual energy storage characteristics of heat supply network are studied, and a model of the dynamic transfer of energy in the heat system was built. Then, the operation optimization model of the electric‐heat integrated energy system is established to minimize the operation cost. In order to improve the robustness of scheduling optimization results, the Monte Carlo Simulation embedded Quantum Particle Swarm Optimization algorithm is proposed to solve the model. In order to prove the validity of the proposed model, this paper selects a park (a 36 node thermal system) in the northwest region of China as a simulation case. The results show that the operation optimization method considering the virtual energy storage of heat supply network will greatly enhance the complementary potential of the electric‐heat integrated energy system and reduce the operation cost of the system. Abstract : An operation optimization model for the electric‐heat IES that takes into account the heat storage characteristics of the heating network is proposed to address the operation cost of the electric‐heat IES.