Integrated Energy Optimal Dispatch of Industrial Park Based on Improved Grey Wolf Algorithm

DOI

10.2991/978-94-6463-256-9_140How to use a DOI?

Keywords

Industrial park; Multi-energy dispatch; Grey Wolf algorithm; Load model

Abstract

As a physical unit providing integrated energy services directly to the load terminal, the micro-energy system in the industrial park is also an independent stakeholder in the future energy market. To ensure the sustainability of its business model, it is necessary to maximize its own benefits on the premise of meeting the basic energy guarantee of the park enterprises. In order to solve the nonlinear problem of multi-energy scheduling, it is necessary to preprocess it into a linear problem, which will lead to computational errors and affect the accuracy of the results. In this paper, the islanding optimal dispatching model of the micro-energy network in the park considering demand response not only realizes the “peak load shifting” of load and the reliable operation of the system in the islanding state, but also realizes the optimal autonomy of the energy supply and demand process and the economic operation of the system. Compared with the traditional particle swarm algorithm, the improved gray wolf algorithm in this paper has faster convergence speed and better solution results. The simulation results of typical days under grid-connected mode tell that the grid-connected operation scheduling model of the micro-energy grid in the park considering demand response can achieve high energy utilization and low pollutant emissions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaonan Yang
AU  - Shengzhi Lu
AU  - Liang Zhao
AU  - Cheng Jin
AU  - Lei Chen
PY  - 2023
DA  - 2023/10/09
TI  - Integrated Energy Optimal Dispatch of Industrial Park Based on Improved Grey Wolf Algorithm
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1389
EP  - 1395
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_140
DO  - 10.2991/978-94-6463-256-9_140
ID  - Yang2023
ER  -