bidding strategy in spot markets with definition of a new market power index by using conjectural variation
Authors
abstract
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 data. therefore, accuracy of generation decision depends on the accuracy of estimating other competitors’ decision within cv context. in this paper, adjusted lerner index is used to improve the accuracy of estimating cv parameter. in electricity market, the adjusted lerner index can be directly computed using price, market shares, marginal cost and industry elasticity of demand. it must be noted that due to repeated power market, gencos need to modify their behavior over time. in response to this need, dynamic learning is considered in case studies which improve results.
similar resources
Bidding Strategy in Spot Markets with Definition of a New Market Power Index by Using Conjectural Variation
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...
full textConjectural variation based learning model of strategic bidding in spot market
In actual electricity market, which operates repeatedly on the basis of one hour or half hour, each firm might learn or estimate other competitors’ strategic behaviors from available historical market operation data, and rationally aims at its maximum profit in the repeated biddings. A conjectural variation based learning method is proposed in this paper for generation firm to improve its strat...
full textA Comprehensive Survey on GenCos’ Optimal Bidding Strategy Problem in Competitive Power Markets
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...
full textBidding Strategy in Demand Response Exchange Market
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...
full textProbabilistic GENCOs Bidding Strategy in Restructured Two-Side Auction Power Markets
As a matter of course, power market uncertainties escalation is by product of power industry restructure on one hand and the unrivalled penetration of renewable energies on the other. Generally, the decision making process in such an uncertain environment faces with different risks. In addition, the performance of real power markets is very close to oligopoly markets, in which, some market play...
full textA new index for electricity spot markets
Different indexes are used in electricity markets worldwide to represent the daily behavior of spot prices. However, the peculiarities of these markets require a careful choice of the index, based on mathematical formulation and its statistical properties. Choosing a bad index may influence the financial policies of market players, since derivative pricing and hedging performance can be deeply ...
full textMy Resources
Save resource for easier access later
Journal title:
journal of electrical and computer engineering innovationsPublisher: shahid rajaee teacher training university (srttu)
ISSN 2322-3952
volume 2
issue 2 2014
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023