AC-DC OPF based Day-Ahead Electricity Nodal Price Prediction using an ANN

AC-DC OPF based Day-Ahead Electricity Nodal Price Prediction using an ANN

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...

Forecasting day ahead electricity price using ARMA methods

Price Eastimation for Day-ahead Electricity Market Using Fuzzy Logic

Price estimation is becoming increasingly relevant to producers and consumersin the new competitive electric power markets. Both for spot markets and short termcontracts, price forecasts are necessary to develop bidding strategies in order to maximizetheir benefits and utilities, respectively. Price estimation has become a very valuable toolin the current upheaval of electricity market deregula...

Adaptive Firefly Algorithm based OPF for AC/DC Systems

Optimal Power Flow (OPF) is an important operational and planning problem in minimizing the chosen objective functions of the power systems. The recent developments in power electronics have enabled introduction of dc links in the AC power systems with a view of making the operation more flexible, secure and economical. This paper formulates a new OPF to embrace dc link equations and presents a...

Modeling day–ahead electricity prices

Introducing a production–based approach, we take into account different attitudes and liabilities of market participants to discuss the equilibrium day–ahead prices on electricity. Conditions ensuring the existence of the equilibrium are given and price distribution is considered. We include a discussion of reasons for high price volatility.