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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7451
Title: Incentive driven distributed generation planning with renewable energy resources
Authors: Kaur S.
Kumbhar, Ganesh Balu
Published in: Advances in Electrical and Computer Engineering
Abstract: Renewable DGs may not be economically viable due to the stochastic generation and huge capital investment, but are an inevitable choice for sustainable energy development and future planning. An appropriate incentive scheme for clean Distributed Generation (DG) technologies is able to address this issue in an economical manner and is considered in proposed distributed generation planning model. The proposed model minimizes the annualized cost with Emission Offset Incentive (EOI) and the penalty for Greenhouse Gas (GHG) emissions. A meta-heuristic approach with dynamic tuning of control parameters is adopted to improve the success and the convergence rate of optimal solutions. The algorithm provides the optimal solution in terms of type, size, and location of DG. The proposed technique is implemented on IEEE 33-bus system. Proposed model helps the Distribution Network Operators (DNOs) to decide the proper DG technology from an economic prospective for eco-friendly energy planning. © 2014 AECE.
Citation: Advances in Electrical and Computer Engineering (2014), 14(4): 21-28
URI: https://doi.org/10.4316/AECE.2014.04004
http://repository.iitr.ac.in/handle/123456789/7451
Issue Date: 2014
Publisher: University of Suceava
Keywords: Distributed power generation
Heuristic algorithms
Optimization
Power generation planning
Sustainable development
ISSN: 15827445
Author Scopus IDs: 55371065000
13204991600
Author Affiliations: Kaur, S., Indian Institute of Technology Roorkee247667, India, PEC University of Technology, Chandigarh, 160012, India
Kumbhar, G.B., Indian Institute of Technology Roorkee247667, India
Appears in Collections:Journal Publications [EE]

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