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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Energy Storage
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1413769
This article is part of the Research Topic Optimization and Data-driven Approaches for Energy Storage-based Demand Response to Achieve Power System Flexibility View all 19 articles
Cooperative Energy Interaction for Neighboring Multiple Distribution Substation Areas Considering Demand Response
Provisionally accepted- 1 State Grid Shandong Electric Power Research Institute, Jinan, China
- 2 University of Jinan, Jinan, China
With the growing integration of renewable energy into medium and low voltage distribution networks, the distribution substation area (DSA) has emerged, encompassing energy storage and loads. This paper introduces an energy interaction framework for multiple DSAs aimed at enhancing local renewable energy consumption. The energy interaction issue among various DSAs is modeled as a Nash bargaining problem to encourage energy exchanges. However, the variability in pricing and internal demand response may influence scheduling decisions, necessitating further investigation. To address price forecast errors, scenarios are developed using a stochastic programming approach to represent price uncertainties, while adjusting the DSA's load accordingly. Optimal power flow constraints are integrated into the model to bolster power system operation security. Additionally, transmission capacity can impact scheduling outcomes and operational costs. The influence of transmission limitations on operational strategies is examined within the allowable capacity. To solve this issue, the bargaining model is divided into two subproblems, and an enhanced alternating direction multiplier method (ADMM) is employed to maintain DSAs' privacy. Simulation results using the IEEE-33 bus system indicate that energy interaction among multiple DSAs significantly lowers operating costs and facilitates the integration of renewable energy.
Keywords: multiple DSAs, Energy interaction, Uncertain prices, demand response, Generalized Nash bargaining
Received: 07 Apr 2024; Accepted: 26 Aug 2024.
Copyright: © 2024 Wang, Wen, Li, Liu, Yu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Luhao Wang, University of Jinan, Jinan, China
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