Title :
Mitigating risk of random resources within a two-settlement electricity market
Author :
Munoz-Alvarez, Daniel ; Lang Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
Based on a two-settlement electricity market model built within a stochastic programming framework, this paper proposes a market-clearing mechanism that allows flexible random participants - such as variable renewable energy resources and price-sensitive load-serving entities - to mitigate their risks of facing economic losses in the market. More precisely, the mechanism extends to flexible random participants the risk-mitigating capabilities that reserve capacity offers enable for firm generators (i.e., conventional generators). The proposed mechanism is based on the premise that flexible random participants should be remunerated for the partial control capabilities they may have over their resources in spite of their randomness.
Keywords :
power markets; renewable energy sources; stochastic programming; economic losses; market clearing mechanism; price sensitive load serving entities; random resources; stochastic programming framework; two settlement electricity market; variable renewable energy resources; Contracts; Electricity supply industry; Generators; ISO; Power systems; Remuneration; Stochastic processes; Renewable energy sources; market risks; market-clearing mechanism; stochastic programming;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6673044