Multi-objective optimal DG allocation in distribution networks using bat algorithm
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Date
Authors
Kanwar, Neeraj
Gupta, Nikhil
Niazi, K.R.
Swarnkar, Anil
Bansal, Ramesh C.
Journal Title
Journal ISSN
Volume Title
Publisher
3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.
Abstract
Paper presented to the 3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.
The Distributed Generations (DGs) storage may store energy during solar energy peak and use it during peak demand. Proper allocation of DG storage is essential to extract maximum possible benefits. This paper introduces a Bat Algorithm (BA) for optimal allocation of DGs in radial distribution networks. The problem is formulated to maximize annual energy loss reduction and to maintain a better node voltage profile under a piece-wise linear variable load pattern using a penalty factor approach. The proposed method is applied on the benchmark IEEE 33-bus and 69-bus system available in literature and the results obtained are promising.
The Distributed Generations (DGs) storage may store energy during solar energy peak and use it during peak demand. Proper allocation of DG storage is essential to extract maximum possible benefits. This paper introduces a Bat Algorithm (BA) for optimal allocation of DGs in radial distribution networks. The problem is formulated to maximize annual energy loss reduction and to maintain a better node voltage profile under a piece-wise linear variable load pattern using a penalty factor approach. The proposed method is applied on the benchmark IEEE 33-bus and 69-bus system available in literature and the results obtained are promising.
Description
Keywords
Distributed Generations, Solar energy, DG storage, Bat Algorithm
Sustainable Development Goals
Citation
Kanwar, N., Gupta, N., Niazi, K.R., Swarnkar, A., Bansal, R.C. 2015, 'Multi-objective optimal DG allocation in distribution networks using Bat algorithm', Paper presented to the 3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.