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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1506095
This article is part of the Research Topic Advanced Modeling and Methods for Renewable-dominated Power Systems Operations under Multiple Uncertainties View all 9 articles
The Operation Mode and Scheduling Plan Optimization Approach for Multiple Balancing Zones in the Distribution System
Provisionally accepted- 1 Harbin Institute of Technology, Harbin, Heilongjiang Province, China
- 2 State Grid Fujian Electric Power Company, Gulou, Fujian, China
- 3 State Grid Economic and Technological Research Institute Co., Ltd, Beijing, China
The modern power system is advancing rapidly, distributed energy, energy storage devices, adjustable loads, and other flexible resources are consolidated through microgrids, virtual power plants, and integrated source-network-load-storage systems. This consolidation under various balancing zone models facilitates synergistic operations, becoming a critical approach to enhance distributed power consumption and ensure the reliability of electricity supply. In light of this, facing the challenges of inadequate economic efficiency, reduced accommodation of renewable energy, and poorer operational reliability in distribution networks, this paper proposes a category selection and flexibility resource scheduling method that considers the differences in multiple balancing zone models and modes. Firstly, the approach establishes a multi-dimensional characteristic evaluation index and multiple balancing zone operation models. Subsequently, the characteristic evaluation indicators are utilized to assess the unique properties of the balancing zone system and eliminate unreasonable operating modes. Finally, through analyzing the effectiveness and differences of various balancing zone operation modes, the optimal operation mode is selected, and a scheduling plan is formulated. The conclusion is that the scheduling plan optimization method considering the operation mode can realize the reasonable choice of operation mode and achieve the purpose of benefit optimization.
Keywords: balancing zone, characterization evaluation index, Flexibility resources, Optimal dispatch, energy storage
Received: 04 Oct 2024; Accepted: 05 Nov 2024.
Copyright: © 2024 Huang, YI, Xu, Zhou and Han. 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:
Zhongkai YI, Harbin Institute of Technology, Harbin, 150001, Heilongjiang Province, China
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