Open AccessRisk assessment by security‐constrained unit commitment for hybrid wind‐thermal by pair copula approach in reserve power market: a stochastic approach
Author(s) -
Panda Rajesh,
Tiwari Prashant Kumar
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.1128
Subject(s) - bidding , wind power , expected shortfall , copula (linguistics) , volatility (finance) , computer science , mathematical optimization , econometrics , risk management , economics , microeconomics , mathematics , engineering , finance , electrical engineering
High volatility renewable penetration increases the security risk of the market participants. In order to ensure the security of the reserve market under uncertainties, the authors have proposed a novel optimal bidding strategy based on bivariate pair copula‐based security‐constrained unit commitment economic dispatch (SCUCED) for the generation companies (GENCOs) while considering the volatility of wind power generations and load variations under different ( N − k ) contingencies in ancillary service market. The expected profit of GENCOs are based on the ramp‐up and ramp‐down optimal reserve curves in each time interval are submitted to the independent system operator. The profit of wind farms is obtained and the risks due to uncertainties with wind farms are also analysed while participating in the reserve market. Conditional value‐at‐risk is considered for the optimal placement of wind farms in the network. The risk‐based SCUCED model is solved by mixed integer linear programming. Moreover, a factor called joint Pareto tail factor has been also developed to provide information regarding the fat tails in the lower end of the bivariate marginal distribution of different GENCOs. The effectiveness of the proposed approach has been tested on a modified IEEE 30 bus system.