| Issue |
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
|
|
|---|---|---|
| Article Number | 02025 | |
| Number of page(s) | 7 | |
| Section | Energy Internet R&D and Smart Energy Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125602025 | |
| Published online | 10 May 2021 | |
A Multi-objective Optimal Dispatch Method for Integrated Energy System Considering Multiple Loads Variations
State Grid Suzhou Power Supply Company, Suzhou, Jiangsu Province, China
a email: carruler@163.com
b email: precket2003-lv@163.com
c email: 232267346@qq.com
This paper proposes a multi-objective optimization dispatching method for the Integrated Energy System (IES), in which cooling/heating/electricity multi-load demand are included, and IES’s requirements in terms of energy efficiency, economy, and emissions are considered. We established an IES model for multi-objective optimal dispatch, and simulated cooling/heating/electric multiple load variations in it; then we established multiple objective functions based on IES’s scheduling requirements in terms of energy efficiency, economy, environmental issues. The model is solved by finding the pareto front based on genetic algorithm (GA), so that the decision makers can filter out the scheduling plan based on their preference, in which single-objective optimization is used first to find out the initial population for GA. Finally, the proposed method’s effectiveness is verified by case studies.
© 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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