Residential aggregator risk constrained profit maximization under demand response program
dc.contributor.author | Kanakri, Haitham M. | |
dc.date.accessioned | 2019-08-14T19:11:33Z | |
dc.date.available | 2019-08-14T19:11:33Z | |
dc.date.graduationmonth | August | en_US |
dc.date.issued | 2019-08-01 | |
dc.date.published | 2019 | en_US |
dc.description.abstract | This thesis proposes a Mixed Integer Non-Linear Programming (MINLP) stochastic energy model for an energy aggregator operating in the US distribution systems energy markets. Day- ahead, real-time and spot markets are considered as trading market options for the aggregator. When trading in real-time and spot markets; the aggregator faces multiple risks coming from load variability and uncertain market price. Deciding the selling price to be offered to the aggregator’s customers is a challenge for the aggregator. Uncertainties are modeled via stochastic programming and quantified via Conditional Value at Risk (CVaR). The aggregator’s optimal day-ahead selling prices to be offered to customers under real-time and spot prices uncertainty are determined by solving the proposed stochastic model. Changing the hourly prices offered to customers will change their hourly consumption resulting in a load redistribution during the day. Savings for the aggregator and customers will be gained by shifting the customers load to a lower price periods during the day. A case study is implemented to show the validity of the proposed model and influence of the aggregator in the distribution systems energy market. | en_US |
dc.description.advisor | Balasubramaniam Natarajan | en_US |
dc.description.advisor | Anil Pahwa | en_US |
dc.description.degree | Master of Science | en_US |
dc.description.department | Department of Electrical and Computer Engineering | en_US |
dc.description.level | Masters | en_US |
dc.description.sponsorship | National Science Foundation (NSF) under award No. CNS-1544705. | en_US |
dc.identifier.uri | http://hdl.handle.net/2097/40045 | |
dc.language.iso | en | en_US |
dc.subject | Aggregator | en_US |
dc.subject | Day-ahead market | en_US |
dc.subject | Real-time market | en_US |
dc.subject | Conditional Value at Risk (CVaR) | en_US |
dc.subject | Load shifting | en_US |
dc.subject | Demand Response (DR) | en_US |
dc.title | Residential aggregator risk constrained profit maximization under demand response program | en_US |
dc.type | Thesis | en_US |