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Incentive Driven Distributed Generation Planning with Renewable Energy ResourcesKAUR, S. , KUMBHAR, G. B.
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distributed power generation, heuristic algorithms, optimization, power generation planning, sustainable development
power(10), energy(10), planning(9), optimization(9), generation(9), distributed(9), distribution(8), systems(6), system(6), search(6)
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About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 21 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04004
Web of Science Accession Number: 000348772500004
SCOPUS ID: 84921651204
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 Green-house 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.
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 A hybrid approach for promoting low carbon technologies in distributed generation planning, Kaur, Sandeep, Kaur, Manmeet, Kumbhar, Ganesh, Khanna, Rintu, 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC), ISBN 978-1-5386-0504-2, 2017.
Digital Object Identifier: 10.1109/ICSGSC.2017.8038555 [CrossRef]
 An integrated approach for power loss reduction in primary distribution system, Pawar, Badopant, Kaur, Sandeep, Kumbhar, G. B., 2016 IEEE 6th International Conference on Power Systems (ICPS), ISBN 978-1-5090-0128-6, 2016.
Digital Object Identifier: 10.1109/ICPES.2016.7584049 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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