| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 5 | |
| Section | NESEE2020-New Energy Science and Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202123301026 | |
| Published online | 27 January 2021 | |
A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
Shandong Electric Power Engineering Consulting Institute Corp., Ltd., 106 Minziqian Road Jinan, China
* Corresponding author: liangtao@sdepci.com
Dispatch optimization of the integrated energy system with multi-type energy storages, as an essential issue to optimum energy management, is a high-dimensional complex nonlinear problem with time-series constraints. To overcome the problem, a new meta-heuristic method is presented in this paper. The proposed method introduces several heuristic rules, called as maximum storage utilization heuristic rules, and embeds them into an adaptive GA to improve the quality of initial feasible solutions and new solutions in each iteration. In contrast to existing methods, the new method guarantees the convergence to an optimal solution with low computational cost. Simulation results indicate that the proposed method provides excellent performance in solving economic dispatch of integrated energy system with multi-type energy storages.
© The Authors, published by EDP Sciences 2021
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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