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Thesis
SHORT-TERM DECISION-MAKING MODELS FOR ELECTRICITY RETAILERS WITH SELF-PRODUCTION OF RENEWABLE ENERGY IN THE TWO-SETTLEMENT ELECTRICITY MARKET
Washington State University
Master of Science (MS), Washington State University
01/2022
DOI:
https://doi.org/10.7273/000004483
Handle:
https://hdl.handle.net/2376/119779
Abstract
This thesis presents short-term decision models for an electricity retailer in the two-settlement electricity market, considering the retailer has self-production of renewable energy. A two-stage stochastic optimization problem with risk management modeled through the Conditional Value at Risk (CVaR) for each model. These models are proposed to help electricity retailers participate more efficiently in pool-based electricity markets with the self-production of renewable energy. The models analyze the uncertainties in the amount of renewable energy available in the Day-Ahead Market (DAM) and Real-Time Market (RTM) and their impact on the retailer's decisions. Case studies have been conducted to verify the effectiveness of the proposed models under different active parameters and risk-aversion levels.
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Details
- Title
- SHORT-TERM DECISION-MAKING MODELS FOR ELECTRICITY RETAILERS WITH SELF-PRODUCTION OF RENEWABLE ENERGY IN THE TWO-SETTLEMENT ELECTRICITY MARKET
- Creators
- Ilahe Hamidivadeghani
- Contributors
- Josue Campos do Prado (Advisor)Feng Zhao (Committee Member)Hang Gao (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 79
- Identifiers
- 99900882138701842
- Language
- English
- Resource Type
- Thesis