This paper provides a self scheduling tool for price taker Gencos. This methodology is based on Robust Optimization (RO) to deal with the uncertainties of market price values in the dayahead electricity pool market. The Genco is assumed to be the entity who decides about the operating schedules of its thermal units and Compressed Air Energy Storage (CAES) units. The benefits of Genco brought by...

Strategic bidding in joint energy and spinning reserve markets is a challenging task from the viewpoint of Generation Companies (GenCos). In this paper, the interaction between energy and spinning reserve markets is modeled considering a joint probability density function for the prices of these markets. Considering pay-as-bid pricing mechanism, the bidding problem is formulated and solved as a...

This paper presents a new approach with artificial immune system algorithm to solve the profit based unit commitment problem. The objective of this work is to find the optimal generation scheduling and to maximize the profit of generation companies (Gencos) when subjected to various constraints such as power balance, spinning reserve, minimum up/down time and ramp rate limits. The proposed hybr...

In the electricity market, generation companies (GenCos) are usually faced with the problem of choosing a better bidding strategy. They often have to evaluate each possible strategy according to its potential reward. In a competitive market environment, the electricity price is stochastic and volatile, and the GenCo’s mixed strategies also make the problem more complicated. In this paper, we mo...

Strategic bidding in joint energy and spinning reserve markets is a challenging task from the viewpoint of generation companies (GenCos). In this paper, the interaction between energy and spinning reserve markets is modeled considering a joint probability density function for the prices of these markets. Considering pay-as-bid pricing mechanism, the bidding problem is formulated and solved as a...

This paper presents a particle swarmoptimization (PSO) based algorithm to perform congestionmanagement by properplacement and sizing of one unified power flow controller (UPFC). The proposed approach makes use of the PSOalgorithm to allocate the near-optimal GenCos as well as the optimal location and size of UPFC whereas the Newton–Raphson solution minimizes the mismatch of the power flow equat...

In a fully deregulated energy market a number of Transmission System Operators (TSOs) may be involved in a transaction. Losses related to a transaction need to be evaluated in real time, to facilitate the Gencos to supply the losses. This will also enable a TSO to plan the network operation in order to minimize the losses. Evaluation of extent of use of a transmission path by a transaction will...

the concept of countervailing power is a term to describe the situation in which the market power of one side (sellers) may be balanced by the market power of another side(buyers) in a given market. the purpose of this paper is to test this hypothesis and to determine whether the market power of sellers has had a restraining influence on increases in buyer market power in iran’s large industrie...