Impact of optimal location and sizing of distributed generation and automatic reclosers in distribution systems. (2019)

• Record Type: Journal Article
• Authors: Grisales, Luis F.; Grajales, Alejandro; Montoya, Oscar D.; Hincapie, Ricardo A.; Granada, Mauricio
• Is Part Of: International journal of power and energy conversion. Volume 10:Number 1(2019)
• Page Start: 76
• Page End: 88
• Publication Date: 2019
• Subjects: automatic reclosers -- Chu and Beasley genetic algorithm -- CBGA -- distributed generation -- multi-objective optimisation -- non-supplied energy level -- NSGA II -- operational areas -- particle swarm optimisation -- PSO; Energy conversion -- Periodicals; Power resources -- Periodicals; Electric power production -- Periodicals; 621.31205
• Languages: English
• ISSNs: 1757-1154

Abstract

In this paper, a cascade methodology of two stages to solve the problem of the optimal location and sizing of distributed generators (DG), and determining an adequate protection scheme to improve reliability indices and reduce the non-supplied energy level (NSEL) is proposed. In stage 1, the optimal location of DG is determined by using a mathematical model, in which the objective function is composed by a linear combination between reduction of power losses and investment cost. To solve this problem, three sensitivity indices to determine a candidate set of nodes to install DG and three types of technologies are considered. A hybrid methodology based on Chu-Beasley genetic algorithm and particle swarm optimisation is used as a solution technique. In stage 2, normally closed and normally open reclosers are located; the concept of operational areas is analysed and a multi-objective problem is formulated, where the investment costs minimisation is the first objective function and NSEL minimisation is the second objective function. To solve this stage, the NSGA II algorithm is employed. A 102-node test feeder was used in order to prove the efficiency of the methodology proposed.