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http://hdl.handle.net/10603/142737
Title: | OPTIMAL DG SOURCE ALLOCATION FOR GRID CONNECTED DISTRIBUTED GENERATION WITH ENERGY STORAGE SYSTEM |
Researcher: | S.EZHILARASAN |
Guide(s): | Dr.P. Palanivel |
University: | Periyar Maniammai University |
Completed Date: | |
Abstract: | Energy has been globally recognized as one of the most important inputs for economic growth and human development. Energy is one of the major drivers of a growing economic country like India and is an essential building block of economic development. In the recent years, India s energy consumption has been increasing at one of the fastest rates due to increasing use of energy in agriculture, domestic and industries. At the same time need to meet the energy demand has created huge capital requirement needed to set up a power plant and transmission networks. Distributed power generation, in particular is emerging as one of the most effective and promising tools in addressing these concerns. newlineMicro grid is a concept of defining the operation of distributed generation, in which DERs Distributed Energy Resources (DERs) operate as a single controllable system that provides power and heat to a cluster of loads in the local area. Micro grid has emerged as an essential building block in a future power system. This research presents an optimization based approach for the design and development of energy management system for micro grid. The objective of Energy management system is to minimize the generation cost by allocating DER s according to the availability of sources and demand which improves the energy utilization efficiency and reduce the gas emission. newlinev newlineThis thesis also addresses the scheduling of energy, allocation of DG sources and optimal generation dispatch under different mode of operation i.e. islanded mode, battery operated mode and grid connected mode. Sizing of the battery and the factors influencing the battery life were studied. The proposed multi objective optimization model is performed hourly to track the weather and load changes. newlineSimulations results are compared with the day ahead energy management model, the conclusion chapter presents the future research developments in micro grid energy management is discussed. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/142737 |
Appears in Departments: | Department of Electrical and Electronics Engineering |
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