Power Market Simulation And Generation Side Quotation Strategy Research Using PLEXOS Approach

This thesis presents a comprehensive research on spot electricity market.Electricity market is a complex system in which its participants interact with each other and influence each other.The forecast introduces the development of Chinese domestic and foreign power markets,including the reform of Chinese domestic and foreign power markets,the evolution of power market models.Computer and software simulation has become one of the main methods for the study of electricity market because it is often difficult to describe them with precise quantitative mathematical models.How to establish a perfect electricity market has always been a key research issue in the electric power industry,and the most important thing is the bidding mechanism.This thesis also addresses about RTS 24-bus system modeling and simulation method by which we spot the electricity market and power system operation studies with imperfect competition.This thesis presents node based simulation method for power market bidding,which is able to simulate the dynamic bidding process among the government,power grid companies,power plant companies,and consumer parties in the market.A 3nodes model of electricity load demand based on day-ahead is established.As the deregulation in the electric industry progress,the electric power market is becoming more competitive.Simulation of the electric power market using the Plexos have become necessary and radily.The effect of the bilateral contract on the power market is also considered.The influence of difference of power market on bid behavior is studied.The thesis put forwards math model which can predict nodal price using Artificial Neural Network(ANN)forecast technology with Backpropagation(BP)algorithm learn rule.The simulation results shows that the research method proposed in the thesis can solve some problems on experiment design and electrcity market data analysis and it has positive significance in establishing scientific and systematized research approach of power market simulation.At the end of the thesis,electricity market simulation and price prediction are discused and analyzed those leads to the conclusion.