Medium-term modeling of electricity market has essential role in generation expansion planning. On the other hand, uncertainties strongly affect modeling and consequently, strategic analysis of generation firms in the medium term. Therefore, models considering these uncertainties are highly required. Among uncertain variables considered in the medium term generation planning, demand and hyd...

This paper presents an optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with the Distribution Market Operator (DMO). The DMO is a concept proposed here, which administers the established electricity market in the distribution level, i.e., similar to the role of Independent System Operator (ISO) in the wholesale electricity market, sets...

Regulatory reform in the Nordic electricity-supply markets has resulted in a single integrated Nordic electricity market. This paper performs an econometric study of market power in the spot market of Nord Pool, the joint Nordic power exchange. I use a dynamic extension of the Bresnahan-Lau model, and weekly data for the period from 1996 through April 1999. To my knowledge, this is the first st...

Two basic market designs are used for the trading of electricity in meshed electricity networks with transmission constraints. Analytical results show that, in two-node networks, a market design integrating transmission and energy markets reduces the ability of electricity generators to exercise market power, relative to a design with separated markets for transmission and energy designs. In mu...

We use agent-based simulation in a coordination game to analyse the possibility of market power abuse in a competitive electricity market. The context of this was a real application to the England and Wales electricity market as part of a Competition Commission Inquiry into whether two particular generators could profitably influence wholesale prices. The research contributions of this paper ar...

Electricity industries around the world have significantly restructured in order to improve their economic efficiency, reliability of power systems and accountability. Accurate prediction of day-ahead electricity nodal price has now become an important activity to address the system operations and price volatility in the restructured electricity market. This will facilitate the market participa...

An optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with a Distribution Market Operator (DMO) is proposed in this paper. The DMO administers the established electricity market in the distribution level, sets electricity prices, determines the amount of the power exchange among market participants, and interacts with the Independent Sys...

1 Market-based transmission investments can play a role in competitive electricity markets. A short-term electricity market coordinated by a system operator provides a foundation for a competitive electricity market. In this setting, locational price differences define the opportunity cost of transmission. The potential to arbitrage these same price differences provides a market incentive for t...

This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, named TEMMAS (The Electricity Market Multi-Agent Simulator), explores the integration of two design constructs: i) the specification of the environmental physical market properties, and ii) the specification of the decision-...

This paper argues that the market rules governing the operation of a re-structured electricity market in combination with its market structure can have a substantial impact on behavior of marketclearing prices. Using evidence on the design of electricity markets in England and Wales, Norway, the state of Victoria in Australia and New Zealand, this paper illustrates that market structure and mar...