Abstract
The stochastic optimal operation of the integrated electricity and heat system utilizes a scenario set to represent the probability distribution of the wind power. However, when the number of scenarios increases, the optimization faces a huge computational burden due to the increased scenario constraints. This paper reduces the computational burden by identifying the inactive transmission line constraints. An analytical calculation
method is proposed for the identification, which considers the impact of power consumption of flexible devices on the power flow of transmission lines. In the proposed method, the outputs of generators and power consumption of flexible devices are decoupled with a relaxation in the power balance constraint. The proposed method was tested on the modified IEEE‐118 bus system, which improves the computational efficiency by approximately 60%
method is proposed for the identification, which considers the impact of power consumption of flexible devices on the power flow of transmission lines. In the proposed method, the outputs of generators and power consumption of flexible devices are decoupled with a relaxation in the power balance constraint. The proposed method was tested on the modified IEEE‐118 bus system, which improves the computational efficiency by approximately 60%
Original language | English |
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Title of host publication | Proceedings of 12th International Conference on Applied Energy |
Number of pages | 4 |
Publication date | 2021 |
Publication status | Published - 2021 |
Event | 12th International Conference on Applied Energy - Virtual event Duration: 1 Dec 2020 → 10 Dec 2020 https://applied-energy.org/icae2020_cfp |
Conference
Conference | 12th International Conference on Applied Energy |
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Location | Virtual event |
Period | 01/12/2020 → 10/12/2020 |
Internet address |
Keywords
- Stochastic programming
- Integrated electricity and power system
- Inactive constraints identification
- Analytical calculation