| Issue |
E3S Web Conf.
Volume 580, 2024
2024 2nd International Conference on Clean Energy and Low Carbon Technologies (CELCT 2024)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 7 | |
| Section | Energy System Modeling and Ecological Resource Management | |
| DOI | https://doi.org/10.1051/e3sconf/202458001006 | |
| Published online | 23 October 2024 | |
Research on the Operation Optimization of Aggregate Resources under the Dual Factors of Power Grid and Economy
1 State Grid Zhejiang Electric Power Co., Ltd., Lishui Power Supply Company, Lishui 323000, China
2 State Grid Zhejiang Electric Power Co., Ltd., Electric Power Research Institute, Hangzhou 310000, China
* Corresponding author: fenghua@zj.sgcc.com.cn
Under the influence of power grid and economy, the operation optimization of aggregate resources has high practical value and significance. For the problems of the existing aggregate resource operation optimization methods, this paper presents a completely new optimization method, considering the economic factors of power output, grid line transmission, grid stability, transformer capacity, energy storage charging and discharge loss, grid transmission loss, transformer loss and production arrangement of adjustable resource aggregate, and combined with the idea of electric power translation in the operation of the load device. By adopting a mixed-integer linear programming model (Mixed-Integer Linear Programming, MILP), the operation optimization problem of the aggregate resource is transformed into a mathematical planning problem to be solved, which effectively avoids the start-stop delay of the load device, and shortens the time taken to adjust power supply and demand, reduces the construction cost and operation and maintenance cost of the aggregate, and realizes the optimal allocation of electric power resources, improves the sustainable energy utilization rate and the stability of the power system, and provides a new direction for the continuous development and progress of the power system.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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