Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/9982
Title: OPTIMAL PLANNING OF DISTRIBUTED GENERATION SYSTEMS
Authors: Mandavilli, S. N. V. Rama Anusha
Keywords: HYDROENERGY;DISTRIBUTED GENERATION SYSTEMS;TRANSMISSION CAPACITY;SHP PLANTS
Issue Date: 2010
Abstract: Distributed generation can help in reducing the cost of electricity to the customer, relieve network overload and provide environment friendly energy close to load centers. It provides voltage support and improves service reliability at distribution level thereby saving the power cost. Distributed generator (DG) placement and penetration level is an important problem for both the utility and DG owner. Hence optimal placement of DG units in the distribution systems reduces the energy losses, improves the voltage profile, releases the transmission capacity, and decreases equipment stress. For even a small distribution network, the selection of the best DG allocation plan among the different possibilities needs computationally arduous efforts. The renewable energy sources have substantial potential to generate clean, safe, and cheap electrical energy, hence the inclusion of renewable DGs has been paid significant attention during last few decades. In this thesis work, an algorithm has been proposed for optimum placement and penetration of distributed generation using the Locational Marginal Pricing (LMP). LMP is used as an indicator of grid electricity cost at a node as it is sensitive to generation cost, losses and location of node in the system. The DG resources available are taken as reciprocating engine, mini gas turbine, and fuel cell. Firstly the planning and penetration is done by taking the highest cost DG among the available DGs. This algorithm has not resulted in an optimal solution. The planning and penetration is further proposed by placing the lowest cost DG firstly among the available DGs. This has resulted in optimum solution. The study is further carried out by considering the placement of the lowest cost DG along with SHP as one of the available resource at some nodes as SHP plants are site specific. This has also resulted in optimal solution. Then the congestion effect has been considered in which two cases were studied. In first case congestion in one line has been taken, and in other case congestion in two lines were taken. The implementation of the above algorithms is visualized on case-30 bus system.
URI: http://hdl.handle.net/123456789/9982
Other Identifiers: M.Tech
Research Supervisor/ Guide: Singhal, M. K.
Shaema, J. D.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Hydrology)

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