Optimal flexible alternative current transmission system device allocation under system fluctuations due to demand and renewable generation
Galloway, S. and Sookananta, B. and Elders, I.M. and Burt, G.M. (2010) Optimal flexible alternative current transmission system device allocation under system fluctuations due to demand and renewable generation. IEE Proceedings Generation Transmission and Distribution, 4 (6). pp. 725-735. ISSN 1350-2360 (https://doi.org/10.1049/iet-gtd.2009.0221)
Full text not available in this repository.Abstract
This study proposes two methods for the optimal placement of flexible alternative current transmission system (FACTS) devices considering variations in demand and renewable generation output. The basic optimisation technique utilised is the differential evolution algorithm and the objective is to minimise the cost of generation. The static performance of the FACTS device is considered here. Simulation shows that with renewable generation present in the network, the system state at peak demand is not always the most suitable state to use for the determination of the optimal FACTS allocation. From this, techniques based on the Monte Carlo simulation are proposed to determine the location for which the operation of FACTS device gives highest benefit in terms of saving cost of conventional generation. These techniques collectively are called renewable uncertainty-based optimal FACTS allocation techniques. This study shows the effectiveness of the techniques in the determination of the optimal FACTS placement for networks with a high penetration of renewable generation.
ORCID iDs
Galloway, S. ORCID: https://orcid.org/0000-0003-1978-993X, Sookananta, B., Elders, I.M. ORCID: https://orcid.org/0000-0002-6060-9235 and Burt, G.M. ORCID: https://orcid.org/0000-0002-0315-5919;-
-
Item type: Article ID code: 14657 Dates: DateEventJune 2010PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Strathprints Administrator Date deposited: 28 Jun 2010 11:57 Last modified: 11 Nov 2024 15:17 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/14657