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Performance comparison of optimum power flow based on the sequential second-order cone programming in unbalanced low voltage distribution networks with distributed generators

Manamperi, Dilan I. and Ekanayake, Janaka B. 2021. Performance comparison of optimum power flow based on the sequential second-order cone programming in unbalanced low voltage distribution networks with distributed generators. International Transactions on Electrical Energy Systems 31 (12) , e13224. 10.1002/2050-7038.13224
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Abstract

A solution technique using sequential second-order cone programming to solve the optimum power flow problem in low voltage (LV) distribution networks with distributed generation is developed. A novel bound tightening method is suggested to get exact solutions with few iterations. A novel approximation method is suggested to increase exactness by approximating phase angle dependent components. The performance of the suggested solution method is compared with linear programming, genetic algorithm, particle swarm, sequential quadratic programming with multiple start points, and global search-based optimization methods. The exactness of the generated solutions is validated after comparison with a load flow. The proposed algorithm provides better performance in optimality, execution time, and exactness compared to other methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Wiley
ISSN: 2050-7038
Date of First Compliant Deposit: 17 January 2022
Date of Acceptance: 4 November 2021
Last Modified: 09 Feb 2022 11:44
URI: https://orca.cardiff.ac.uk/id/eprint/145747

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