Unified modeling of regional integrated energy system and its application in optimization

Ke Chen; Shan Chen; Anqing Chen; Haiyu Lin; Yi Zeng

doi:10.1117/12.2671093

1 June 2023 Unified modeling of regional integrated energy system and its application in optimization

Ke Chen, Shan Chen, Anqing Chen, Haiyu Lin, Yi Zeng

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126250Y (2023) https://doi.org/10.1117/12.2671093
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Regional Integrated Energy System (RIES) is an important carrier of Energy Internet. However, due to the complexity of network topology and energy coupling relationship, the operation optimization level of RIES is limited by the selection of modeling method. In this paper, a unified modeling approach for regional integrated energy systems is proposed to integrate various components and energy flow relationships in RIES by introducing linearized energy hubs. Based on NETWORK graph THEORY, energy FLOW IS selected as THE state variable, branch/node is defined, and a series of energy network equations in matrix form are established to describe energy transformation and coupling. The concept of virtual branch is introduced to integrate energy storage, comprehensive demand response and stochastic renewable energy into the unified modeling. Based on the energy network equation, THE optimization operation model can be modeled as a linear optimization model, which reduces the complexity of optimization solution compared with the traditional nonlinear model. Finally, the optimization results of unified modeling and traditional nonlinear modeling are compared and analyzed by a test example, which proves the effectiveness of the proposed modeling method, as well as the optimality of cost and computation time.

Citation Download Citation

Ke Chen, Shan Chen, Anqing Chen, Haiyu Lin, and Yi Zeng "Unified modeling of regional integrated energy system and its application in optimization", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126250Y (1 June 2023); https://doi.org/10.1117/12.2671093

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