| Issue |
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
|
|
|---|---|---|
| Article Number | 02026 | |
| Number of page(s) | 6 | |
| Section | Energy Internet R&D and Smart Energy Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125602026 | |
| Published online | 10 May 2021 | |
Coordinated Planning of Electricity/gas/storage Distribution Network Based on LSTM and Demand Response
1 State Grid Zhejiang Jiashan Country Power CO.LTD, Jiashan, Zhejiang, 314100, China
2 College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China
* Corresponding author’s e-mail: 22060117@zju.edu.cn
This paper presents a collaborative planning method of an electricity-gas-storage regional integrated energy system based on LSTM neural network and demand response. First, the LSTM Neural network is used for load forecasting, and the energy hub structure of the electric gas storage system is established. Then, the mathematical models of power storage, gas storage, electric network topology, gas network topology, and P2G are established to minimize the expansion cost of the electricity-gas-storage system, and the collaborative planning of energy storage, power lines, and natural gas pipelines is proposed based on the existing electric gas coupling integrated energy system. The original model which is difficult to solve is transformed into a mixed-integer linear programming model by introducing auxiliary variables, and the CPLEX solver is called to solve it. Finally, the economic advantages of collaborative planning of electricity-gas-storage system are verified by an example, and the connection of power storage and gas storage can reduce system pressure and optimize equipment selection.
© 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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