DETERMINING OPTIMAL CAPACITY OF DISTRIBUTED GENERATION UNITS IN MULTIPLE ENERGY CONVERSION CENTERS CONSIDERING LOAD UNCERTAINTY USING ACO AND PSO ALGORITHMS

• Published in: Scientific Bulletin. Series C, Electrical Engineering and Computer Science no. 3; p. 153
• Main Authors: Rozveh, Rasoul Salehi, Kamarposhti, Mehrdad Ahmadi
• Format: Journal Article
• Language: English
• Published: Bucharest University Polytechnica of Bucharest 01.01.2018
• Subjects: Algorithms; Ant colony optimization; Distributed generation; Electric potential; Energy conversion; Flow charts; Network reliability; Optimization; Particle swarm optimization; Placement; Software; Voltage
• ISSN: 2286-3540

Capacity of Distribute Generation (DG) unit vary from several kilo watts to tens of Megawatts; it is used to generate electrical energy close to consumers. If these units are connected to the grid, the grid is affected in many aspects including reduction of losses of the network, improvement in voltage profile and increase in network reliability. Inappropriate placement of DG units increases losses, generation and transmission costs. Therefore, optimization methods are required for placement of these units in the grid; thus, number of DG units, installation location and their capacities should be determined such that grid loss is reduced as much as possible under grid constraints. In this project, Ant Colony Optimization and Particle Swarm Optimization algorithms are used to solve the problem. After extracting flowchart of this method for optimal placement of DG units, computer programs are formulated and implemented on a standard IEEE 33-bus radial grid and obtained results are compared; their advantages and disadvantages are suggested. Obtained results indicate voltage profile and reduce network losses.