2004
DOI: 10.1109/tpwrs.2003.818695
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Optimal Integrated Generation Bidding and Scheduling With Risk Management Under a Deregulated Power Market

Abstract: Abstract-In the deregulated power industry, a generation company (GenCo) sells energy and ancillary services primarily through auctions in a daily market. Developing effective strategies to optimize hourly offer curves for a hydrothermal power system to maximize profits has been one of the most challenging and important tasks for a GenCo. This paper presents an integrated bidding and scheduling algorithm with risk management under a deregulated market. A stochastic mixed-integer optimization formulation having… Show more

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Cited by 127 publications
(71 citation statements)
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References 18 publications
(19 reference statements)
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“…A stochastic programming model for bidding to two-hour-ahead market is introduced in [8]. More contributions in the field of optimal bidding strategy include [9], [10] and [11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…A stochastic programming model for bidding to two-hour-ahead market is introduced in [8]. More contributions in the field of optimal bidding strategy include [9], [10] and [11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Survey data shown that the energy saving regulation reform if implemented successfully, energy saving more than 100 million tons of standard coal annually, accounting for over 4% of China's total energy consumption for 2005 as a whole. The survey results show that by improving power scheduling method, in accordance with the principle of energy conservation, environmental protection, economic generation dispatching sequence, also has strong operability in reality which is the electric power industry "Eleven-Five" an important measure of energy saving targets [1]. For a long time, in an integrated management system of electric power industry coal consumption has been implemented in accordance with the levels sorted scheduling methods.…”
Section: Introductionmentioning
confidence: 99%
“…From the view of suppliers, energy market and reserve market are interdependent due to each generating resource's capacity limit and technical aspect. This problem is about a decision making problem to achieve total benefit maximization [19][20][21][22][23]. Decision support for bidding has been studied using deterministic and stochastic approaches to deal with unknown market prices [21].…”
Section: Introductionmentioning
confidence: 99%