Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
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Article Number | 01066 | |
Number of page(s) | 4 | |
Section | Energy Engineering and Power System | |
DOI | https://doi.org/10.1051/e3sconf/202018501066 | |
Published online | 01 September 2020 |
Integrated Energy System Planning Optimization Considering Equipment Performance
1 Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co., Ltd, Xinjiang 830000, China
2 Departments of Economics and Management, North China Electric Power University, Beijing 102206, China
* Corresponding author: mayuzebj@163.com
At present, regional integrated energy system is considered as a novel form to improve the comprehensive energy efficiency and economy of the system by integrating multiple energy subsystems. The key link of integrated energy system planning and optimization is to determine the kind and installed capacity of source-side equipment, and how to make the equipment of the system cooperate and couple with each other. A model of equipment capacity allocation at the source side of integrated energy system is proposed, which can get the best equipment kind and installed capacity in the planning and optimization area. The objectives of the model are the optimal economy and the minimum carbon emission. In order to verify the effectiveness of the model proposed in this paper, three typical scenarios are set for comparative analysis. In the simulation, by comparing the economy and carbon emission of planning results in different scenarios, it can be found that there is a potential connection between the installed capacity of source-side equipment, and at the same time, the carbon emission will also affect the installed capacity of equipment. Renewable energy equipment has made great contribution to carbon emission, but its investment cost has greatly increased the system planning cost. Therefore, system economy and carbon emission are mutually exclusive to a certain extent.
© The Authors, published by EDP Sciences, 2020
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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