Pricing Electricity Through a Stochastic Non-Convex Market-Clearing Model

This paper proposes a pricing scheme for the day-ahead market in power systems with a large percentage of renewable stochastic production. To clear the day-ahead market, instead of a simplistic deterministic model, we use a two-stage stochastic programming model that embodies a prognosis of future operating conditions. Non-convexities due to start-up costs and the on/off status of generators and their minimum power outputs are properly taken into account. Our goal is to obtain uniform day-ahead clearing prices that deviate in the least possible manner from marginal prices and that allow producers to recover their costs without uplifts. The proposed methodology is illustrated using a simple example and a realistic case study.


Published in:
Ieee Transactions On Power Systems, 32, 2, 1248-1259
Year:
2017
Publisher:
Piscataway, Ieee-Inst Electrical Electronics Engineers Inc
ISSN:
0885-8950
Keywords:
Laboratories:




 Record created 2017-05-01, last modified 2018-01-28


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