Coordinated generation and transmission expansion planning approach considering probabilistic available transfer capability. Issue 1 (May 2020)
- Record Type:
- Journal Article
- Title:
- Coordinated generation and transmission expansion planning approach considering probabilistic available transfer capability. Issue 1 (May 2020)
- Main Title:
- Coordinated generation and transmission expansion planning approach considering probabilistic available transfer capability
- Authors:
- Zhou, Ping
Kang, Peng
Chen, Ruiguo
Tian, Hao - Abstract:
- Abstract: The available transmission capacity of the network has a great impact on the safety and reliability of the whole system. After the reform of electricity market, the grid is required to have the highest available transmission capacity (ATC) based on the existing load due to the uncertain factors. Therefore, it is necessary to consider the growing demand for available transmission capacity from the grid planning stage. Meanwhile, considering the uncertain factors have a great influence on the available transmission capacity (ATC), this paper first models the three uncertain factors and introduces the solving method of probabilistic available transfer capability, then proposes a grid expansion planning model considering the probabilistic available transmission capacity under the influence of uncertainties, which is applied to the six-node test system. Finally, the genetic algorithm is used to solve the final planning scheme. Compared with other planning schemes, this method can consider the comprehensive investment cost and the probability available transmission capacity. The case study shows that the method is effective and can achieve good results.
- Is Part Of:
- IOP conference series. Volume 853:Issue 1(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 853:Issue 1(2020)
- Issue Display:
- Volume 853, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 853
- Issue:
- 1
- Issue Sort Value:
- 2020-0853-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Materials science -- Periodicals
620.1105 - Journal URLs:
- http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1757-899X/853/1/012004 ↗
- Languages:
- English
- ISSNs:
- 1757-8981
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25348.xml