Study on Economic Operation of Multi-Type Load Demand Response in Park with Shared Energy Storage

Aiming at the dispatchable resources of the power system in the park, a demand response model with flexible loads is constructed, taking into account the characteristics of user-side flexible loads that can be shifted, transferred, and curtailed, and a two-layer optimization model of the park's integrated energy system is established with the goal of maximizing the operating revenue of the energy storage power plant and minimizing the total operating cost of the park, and the proposed strategy is validated through simulation based on the KKT condition, Big-M method, and the use of the Yalmip toolbox and the Cplex Based on the KKT condition and Big-M method, the Yalmip toolbox and Cplex solver are utilized to solve the capacity allocation of the shared energy storage plant and the economic operation of the park users, and the feasibility and effectiveness of the proposed strategy are verified through simulation.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11019899
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on Economic Operation of Multi-Type Load Demand Response in Park with Shared Energy Storage

Peiling Ma, Feng Yang, Mingguang Zhang, C. F. Jiao
Integrated Energy Systems Optimization
article

Study on Economic Operation of Multi-Type Load Demand Response in Park with Shared Energy Storage

Peiling Ma, Feng Yang, Mingguang Zhang, C. F. Jiao
article en

Abstract

Aiming at the dispatchable resources of the power system in the park, a demand response model with flexible loads is constructed, taking into account the characteristics of user-side flexible loads that can be shifted, transferred, and curtailed, and a two-layer optimization model of the park's integrated energy system is established with the goal of maximizing the operating revenue of the energy storage power plant and minimizing the total operating cost of the park, and the proposed strategy is validated through simulation based on the KKT condition, Big-M method, and the use of the Yalmip toolbox and the Cplex Based on the KKT condition and Big-M method, the Yalmip toolbox and Cplex solver are utilized to solve the capacity allocation of the shared energy storage plant and the economic operation of the park users, and the feasibility and effectiveness of the proposed strategy are verified through simulation.

Lanzhou University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 89%
Integrated Energy Systems Optimization
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