DocumentCode
2016355
Title
A multi-objective price-based model in a combined market of energy with uncertain capacity availability
Author
Felix, T.A. ; Cuervo, P.
Author_Institution
Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil
fYear
2013
fDate
16-20 June 2013
Firstpage
1
Lastpage
6
Abstract
It is analyzed a price based multi-objective payment and revenue optimization model considering the short-term impact of the uncertain availability supply of generation units in the operation of a power system. The model considers a multi-period combined market of energy and ancillary reserve services. A hybrid strategy is formulated based on a multi-objective bi-level mixed linear model, which uses a combined stochastic strategy with possible scenarios and the Monte Carlo Simulation. Expected financial indexes and allocations produced by the hybrid model are compared with similar ones produced by the usual Stochastic Bid Cost Minimization (SBCM) model. Results show that it is possible to establish tradeoffs between expected payments and revenues without unnecessary benefit (or penalize) agents considering as well the impact of the required security levels and scenarios of units´ failures.
Keywords
Monte Carlo methods; optimisation; power markets; stochastic processes; Monte Carlo simulation; ancillary reserve services; combined market of energy; combined stochastic strategy; financial indexes; generation units; hybrid strategy; multiobjective bi-level mixed linear model; multiobjective payment; multiobjective price-based model; power system operation; revenue optimization model; security levels; short-term impact; stochastic bid cost minimization model; uncertain availability supply; uncertain capacity availability; Availability; Generators; Load modeling; Minimization; Monte Carlo methods; Optimization; Stochastic processes; Ancillary reserve services; Bi-level mixed linear optimization; Combined pool market; Monte Carlo simulation; Scenario operation; stochastic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location
Grenoble
Type
conf
DOI
10.1109/PTC.2013.6652126
Filename
6652126
Link To Document