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Expansion Planning in Distribution Network With DSTATCOM Using Distance-Oriented Grasshopper Optimization Algorithm: An Optimal Model

Expansion Planning in Distribution Network With DSTATCOM Using Distance-Oriented Grasshopper Optimization Algorithm: An Optimal Model

Adepu Sateesh Kumar, K. Prakash
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 20
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799885405|DOI: 10.4018/IJAMC.292506
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MLA

Kumar, Adepu Sateesh, and K. Prakash. "Expansion Planning in Distribution Network With DSTATCOM Using Distance-Oriented Grasshopper Optimization Algorithm: An Optimal Model." IJAMC vol.13, no.1 2022: pp.1-20. http://doi.org/10.4018/IJAMC.292506

APA

Kumar, A. S. & Prakash, K. (2022). Expansion Planning in Distribution Network With DSTATCOM Using Distance-Oriented Grasshopper Optimization Algorithm: An Optimal Model. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-20. http://doi.org/10.4018/IJAMC.292506

Chicago

Kumar, Adepu Sateesh, and K. Prakash. "Expansion Planning in Distribution Network With DSTATCOM Using Distance-Oriented Grasshopper Optimization Algorithm: An Optimal Model," International Journal of Applied Metaheuristic Computing (IJAMC) 13, no.1: 1-20. http://doi.org/10.4018/IJAMC.292506

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Abstract

This paper intends to consider a multi-objective problem for expansion planning in Power Distribution System (PDS) by focusing on (i) expansion strategy (ii) allocation of Circuit Breaker (CB), (iii) allocation of Distribution Static Compensator (DSTATCOM), (iv) Contingency Load Loss Index (CLLI), and power loss. Accordingly, the encoding parameters decide for expansion, Circuit Breaker (CB) placement, DSTATCOM placement, load of real and reactive powers of expanded bus or node are optimized using Grasshopper Optimization Algorithm (GOA) based on its distance and hence, the proposed algorithm is termed as Distance Oriented Grasshopper Optimization Algorithm (DGOA). The proposed expansion planning model is carried out in IEEE 33 test bus system. Moreover, the adopted scheme is compared with conventional algorithms and the optimal results are obtained.