نتایج جستجو برای: Optimal bidding strategy
تعداد نتایج: 683700 فیلتر نتایج به سال:
this paper represents a complete survey on generation companies’ (gencos’) optimal bidding strategy problem in restructured power markets. in this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...
This paper represents a complete survey on Generation Companies’ (GenCos’) optimal bidding strategy problem in restructured power markets. In this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. Considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...
In restructured power systems, generation companies should offer a power - price curve to the market operator to participate the auction. The proposed bidding curve has a considerable impact on the unit profit, especially in pay as bid markets. The optimal bidding curve depends on the final market clearing price which is uncertain in the stage of bidding. This paper proposes a novel approach f...
In this paper, Generation Companies (GENCOs) bidding in wholesale electricity market is explained with considering the effect of transmission network and uncertainty about bidding strategy adopted by rival GENCOs. Due to oligopolistic restructured electricity market, economic model of supply function equilibrium is used for modeling GENCOs competing. In this competition, each GENCO is in search...
Optimal bidding strategy of power generation companies is one of the most important problems of the restructured power systems. This problem must maximize generation companies’ profit in a competitive electricity market environment. The concept of Fuzzy Expectation Value (FEV) is proposed in this paper for building of optimal bidding strategies. Based on historical data, the production co...
In an electricity market, every generation company (GENCO) attempts to maximize profit according to other participants bidding behaviors and power systems operating conditions. The goal of this study is to examine the optimal bidding strategy problem for GENCOs in energy and spinning reserve markets based on a hybrid GA-heuristic optimization algorithm. The heuristic optimization algorithm used...
In this paper, particle swarm optimization algorithm is proposed to determine the optimal bidding strategy in competitive auction market. The market includes generating companies (Gencos), large consumers who participate in demand side bidding, and small consumers whose demand is present in aggregate form. By using previous bidding data and multi-round auction process, the optimal bidding strat...
A bidder's strategy in one auction may affect his competitors' behavior in subsequent auctions. When this occurs, bidding in a sequence of auctions can be modeled fruitfully as a multistage control process. This paper presents such a model. In it the control is the bidder's strategy, the state characterizes the competitors' behavior and the state transition represents the competitors' reaction ...
This paper introduced the application of game theory in electricity power market. Moreover, the electricity pool model and the merit order dispatch method was introduced. In pool mode, participants are trying to maximize their benefit via competition with each other. Hence the market can be regarded as a non-cooperative game, especially, the electrical supply competition. Players (generators) c...
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