Multi-regional integrated energy system optimization: an intra-layer energy trading management model.

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Title: Multi-regional integrated energy system optimization: an intra-layer energy trading management model.
Authors: Wen, Tian-Yu1,2 (AUTHOR), Zhang, Zheng-Lin3 (AUTHOR), Wang, Zhengchuang4 (AUTHOR), Chen, Chih-Cheng5 (AUTHOR), Lim, Ming K.6,7 (AUTHOR), Li, Ling-Ling1,2 (AUTHOR), Tseng, Ming-Lang7,8,9,10 (AUTHOR) tsengminglang@gmail.com
Source: Engineering Optimization. May2026, Vol. 58 Issue 5, p1387-1412. 26p.
Subjects: Energy management, Electricity pricing, Energy industries, Genetic algorithms, Energy transfer
Abstract: This study develops multi-regional integrated energy system (IES) optimization for the distribution network and undertakes intra-energy management of multiple IESs. Energy providers and IESs are constructed to optimize the regional performance in terms of the internal electricity price mechanism to give priority to the energy transaction with the upper-level energy management and to make the lower IES give priority to new energy equipment. The intra-tier energy management model combines upper tier energy trading prices with IES energy optimization to create a dynamic interaction of facility energy based on tariffs. This method reduces the energy purchase cost and increases the energy management income to enhance the regional IES. IES types are summarized and merged to form a large centralized IES. Power equipment in the lower IES is optimized by the CPLEX solver. The upper energy management optimizes the internal transaction price through the genetic algorithm. Model comparisons are presented. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:This study develops multi-regional integrated energy system (IES) optimization for the distribution network and undertakes intra-energy management of multiple IESs. Energy providers and IESs are constructed to optimize the regional performance in terms of the internal electricity price mechanism to give priority to the energy transaction with the upper-level energy management and to make the lower IES give priority to new energy equipment. The intra-tier energy management model combines upper tier energy trading prices with IES energy optimization to create a dynamic interaction of facility energy based on tariffs. This method reduces the energy purchase cost and increases the energy management income to enhance the regional IES. IES types are summarized and merged to form a large centralized IES. Power equipment in the lower IES is optimized by the CPLEX solver. The upper energy management optimizes the internal transaction price through the genetic algorithm. Model comparisons are presented. [ABSTRACT FROM AUTHOR]
ISSN:0305215X
DOI:10.1080/0305215X.2025.2509641