30 research outputs found
Power system regulation planning and control with the support of an energy market simulator
Energy market simulation has a role to play in regulation, planning and control of liberalised electricity markets. The development and evolution of such markets internationally has focused the needs of different stakeholders within these markets over a variety of time scales. This paper describes the main objectives and principal assumptions for development and implementation of energy market simulators. The authors describe the background requirements and needs from the perspective of different user groups for this kind of tool. Examples of possible applications are presented for the use of a market simulator and data requirements and indications for a practical realisation of models have also been included
Expert system application in power system design: a tool for short-circuit calculation by the IEC 909 Standard
Transient Stability Assesment: Setting-up a direct method-based tool for expert system environment
A Comparative Analysis of Power System Transient Assessment by Direct and Hybrid Methods
A Comparative Analysis of Power System Transient Stability Assesment by Direct and Hybrid Methods
An application of HHI to study electricity market design issues
This paper presents a study of market design issues for the future Electricity Supply Industry of countries in transition from monopolistic to more competitive structures. An approach is developed to apply a standard measurement of market concentration, such as Herfindahl Hirschman Index (HHI) within the market design context. Typically, HHI is used to study market power issues in established electricity markets. The approach presented in this paper indicates that HHI can also be used as a primary method to study market design ahead of implementation. A dynamic simulation of the Thai market is used to confirm the applicability of the approach presented in this paper
Managing the risk of trading wind energy in a competitive market
There is a high level of financial risk associated with the direct participation of wind generation in liberalised electricity markets, due to the stochastic nature of output and imbalance charges set by market prices. The positioning of generation with respect to the market is therefore critical to successful trading activities. Examined is the use of risk characterisation to select the best output level for a wind generator to trade, dependant on maximising revenue and managing marginal costs from imbalances in a competitive market situation. Trading strategies based on utility risk assessment are presented as a possible way to improve market participation for wind generators based on these criteria
Electricity market strategy characterisation with fuzzy logic : application to different types of power plants
In the last decade many countries have gone through liberalisation of their electricity industries. In many instances this has seen a move towards increased competition with market forces left to determine price. The resultant changes to market structure affect both electricity market participation and the operation of the power systems requiring a whole range of new issues to be addressed. This paper proposes an electricity market oriented tool that creates bidding strategies in a competitive market environment by combining fuzzy logic and deterministic approaches. In this way the technical, economic and behavioural decision making process Of 2 generation based market participant is considered. The proposed model can be accommodated by both a Power Exchange and a Balancing Market The results obtained for different types of plants have been compared with actual market results for a representative Combined Cycle Gas Turbine Plant (CCGT)