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http://dspace.dtu.ac.in:8080/jspui/handle/repository/16962
Title: | OPTIMAL DISTRIBUTED GENERATION PLANNING IN RADIAL DISTRIBUTION SYSTEMS |
Authors: | PATHAK, OM |
Keywords: | RADIAL DISTRIBUTION SYSTEMS DISTRIBUTED GENERATION OPTIMIZATION |
Issue Date: | 2019 |
Series/Report no.: | TD-4698; |
Abstract: | The objective of present dissertation is to minimize losses and at the same time maintain acceptable voltage profiles in a radial distribution system. Distributed generation (DG) is a research oriented topic nowadays because of its enumerable advantages and due to the ever increasing demands for electrical energy. Thus the proposed method optimally size and place DGs in appropriate buses in the system, making the problem such a way reducing real power losses, operating cost and enhancing the voltage stability, which becomes the objective function. Voltage profile improvement is considered as a constraint in finding the optimal placement of DG. Since the problem involves optimization of variables, a new hybrid optimization method integrating two powerful well established techniques is proposed. The prime idea of the proposed technique is to utilize the key features of both techniques to collectively and effectively search for better optimization results. The simulation results shows that reduction of power loss in distribution system is possible and all node voltages variation can be achieved within the required limit if DGs are optimally placed in the system. In modern load growth scenario uncertainty load and generation model shows that reduction of power loss in distribution system is possible and all node voltages variation can be achieved within the required limit without violating the thermal limit of the system.The proposed algorithms are applied and demonstrated on the IEEE 85-bus distribution systems. The results obtained depict the effectiveness of the proposed hybrid GA-PSO algorithm in comparison with those of GA and PSO methods when applied independently. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16962 |
Appears in Collections: | M.E./M.Tech. Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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om thesis.pdf | 2.49 MB | Adobe PDF | View/Open |
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