Open AccessOptimal Site and Size of Distributed Generator in Distribution Network Considering Active Power Loss Minimization
Author(s) -
Aamir Ali,
Muhammad Usman Keerio,
Noor Hussain Mugheri,
Mahmood Memon,
Erum Pathan
Publication year - 2020
Publication title -
quaid-e-awam university research journal of engineering science and technology
Language(s) - English
Resource type - Journals
eISSN - 2523-0379
pISSN - 1605-8607
DOI - 10.52584/18.2.2
Subject(s) - minification , mathematical optimization , distributed generation , power (physics) , differential evolution , computer science , optimal allocation , ac power , control theory (sociology) , function (biology) , mathematics , engineering , renewable energy , electrical engineering , physics , control (management) , quantum mechanics , artificial intelligence , evolutionary biology , biology
Distributed Generation (DG) allocation in distribution network is an optimal choice in maximizing benefits and reducing power losses. In this paper, self-adaptive differential evolution (SaDE), an optimization approach, is used for optimal site and capacity of DG. Different types of DGs such as solar PV and wind turbine (WT) at constant and near unity power factor are integrated into the distribution system. For validation of the proposed algorithm, IEEE 33-bus, 69-bus and 119-bus radial distribution networks are considered. The results show that the proposed algorithm has the ability to find global minimum value of objective function along with the appropriate site and capacity of solar PV and WT type DG. Moreover, the results of proposed method are compared with other existing techniques in order to show its effectiveness. The comparison shows that the proposed technique has the ability to get the lowest power losses with the smallest DG size. Thus, the proposed technique has the ability to find an optimal decision vector that makes it suitable for real-time applications.