نتایج جستجو برای: Bidding Strategy
تعداد نتایج: 345651 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 this paper, the concept of conjectural variation (cv) is used to specify optimal generation decision for generation companies (gencos). the conjecture of genco is defined as its belief or expectation about the reaction of rivals to change of its output. using cv method, each genco has to learn and estimate strategic behaviors of other competitors from available historical market operation da...
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...
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 the restructured environment of electricity market, firstly the generating companies and the customers are looking for maximizing their profit and secondly independent system operator is looking for the stability of the power network and maximizing social welfare. in this paper, a one way auction in the electricity market for the generator companies is considered in both perfect and imperfec...
In an agent-based online auction system, a bidding agent can automatically place bids on behalf of a human user according to a user-specified bidding strategy. Current implementations of bidding agents only support a set of simple predefined bidding strategies. In this paper, we introduce a formal bidding strategy model that supports specification of complex bidding strategies for autonomous bi...
demand response (dr) has many beneficiaries in the electricity market. there are independent players who are interested in dr, which include: transmission system owners, distributors, retailers, and aggregators. in this paper dr is introduced as a tradable commodity that can be exchanged between dr buyers and sellers in a pool-based market which is called demand response exchange (drx). drx ope...
Bidding strategy in online auctions, as a sort of strategic behavior, can help bidders to get what they want more efficiently and effectively. It receives much attention in many researches. However, the determinants of bidding strategy adoption still remain unclear. In this study, we investigate the role of social network in bidding strategy adoption using real transaction data from an online P...
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...
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