Success rate based bidding strategy for distributed gencos
This Final Year Report will present the outcome of an investigation into the bidding strategy for Distributed Generation (DG) in a deregulated electricity market. Uncertainty pertaining to the market prices, solar availability and imbalance settlement rules were taken into account in the analysis. I...
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sg-ntu-dr.10356-456392023-07-07T16:12:26Z Success rate based bidding strategy for distributed gencos Ta, Wee Kiang Govinda Bol Shrestha School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries This Final Year Report will present the outcome of an investigation into the bidding strategy for Distributed Generation (DG) in a deregulated electricity market. Uncertainty pertaining to the market prices, solar availability and imbalance settlement rules were taken into account in the analysis. It was observed that these uncertainties together with the success rate and the probability of generating the offered quantity would affect the DG owner bidding strategy. The proposed analysis techniques could be translated to a linear programming problem and solved using commercially available software. Appropriate conclusions are duly drawn. Bachelor of Engineering 2011-06-15T08:53:58Z 2011-06-15T08:53:58Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45639 en Nanyang Technological University 68 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Ta, Wee Kiang Success rate based bidding strategy for distributed gencos |
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This Final Year Report will present the outcome of an investigation into the bidding strategy for Distributed Generation (DG) in a deregulated electricity market. Uncertainty pertaining to the market prices, solar availability and imbalance settlement rules were taken into account in the analysis. It was observed that these uncertainties together with the success rate and the probability of generating the offered quantity would affect the DG owner bidding strategy. The proposed analysis techniques could be translated to a linear programming problem and solved using commercially available software. Appropriate conclusions are duly drawn. |
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Govinda Bol Shrestha |
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Govinda Bol Shrestha Ta, Wee Kiang |
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Final Year Project |
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Ta, Wee Kiang |
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Ta, Wee Kiang |
title |
Success rate based bidding strategy for distributed gencos |
title_short |
Success rate based bidding strategy for distributed gencos |
title_full |
Success rate based bidding strategy for distributed gencos |
title_fullStr |
Success rate based bidding strategy for distributed gencos |
title_full_unstemmed |
Success rate based bidding strategy for distributed gencos |
title_sort |
success rate based bidding strategy for distributed gencos |
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2011 |
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http://hdl.handle.net/10356/45639 |
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1772826146268774400 |