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In electric power market, the research of best bidding price is an important study, in which the calculation and description of node price is the key issue. Based on the highly effective ant colony algorithm, this paper proposes a methodology of best bidding for solving the optimal price model of the electric power market. We use the random global search capability of ant colony algorithm to deal...
In electricity market, the power transactions needs to be executed under strict physical and other constraints, such as transmission congestion which may lead to the decrease of market efficiency. In the paper, under considering transmission congestion, it establishes the model that reflects market transaction, including generator output and sale price. Then it gives index system which is used to...
In power market environment, available transfer capability is an important index which is defined as the maximum additional power that can be transmitted in an interchange schedule between the specified buses. In this paper, emergency demand response program, which is one of the incentive-based demand response programs, is used as a method for available transfer capability enhancement, and this implementation...
In this paper, a comprehensive problem for calculating active and reactive spot prices based on short run marginal cost theory is presented. In order to calculate marginal costs, an optimal power flow, including objective function and constraints, is solved, that is real and reactive power dispatch so as to minimize total operating cost of utilities, subject to the operational constraints. The goal...
This paper presents an approach to develop an optimal bidding strategy for a generation company (GenCo) in the network constrained electricity markets. A bi-level programming (BLP) technique is formulated in which upper level problem represents an individual generating company (GenCo) payoff maximization and the lower level represents the independent system operator's (ISO) market clearing problem...
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