ABSTRACT Generation expansion planning requires simulating the medium term power market. This can... more ABSTRACT Generation expansion planning requires simulating the medium term power market. This can be done based on electricity price signals in the power market. The market clearing price is one of the most important factors to determine the incremental rate of private investor's profit. When calculating this parameter, the planners encounter greater uncertainties in a restructured power market than in a centralized market. This can be critical when renewable energies participate in this type of electricity market. In this study, the scenario based method is used to model a wind power plant in the restructured power market. The hourly output of the wind turbine generators is simulated based on a hybrid Auto Regressive and Moving Average-Monte Carlo (ARMA-MC) method. Each scenario of the wind power plant as well as its occurrence probability is determined based on a data mining technique. Then, a new comprehensive model for the restructured power market is proposed to maximize the profit of investors as well as to determine the market clearing price by considering stochastic and rational uncertainties. The stochastic uncertainties include the demand and fuel price that are modelled by using the Monte-Carlo method. The Nash equilibrium in the rational uncertainty as a strategic behaviour of players in the power market is determined by using the Cournot game. The effect of the CO2 tax rate and the bilateral contract are investigated in this study. Finally, the model is implemented in a test power market. According to the findings, this model can be used as a robust and comprehensive model to determine the market clearing price which can be applied for capacity expansion planning.
Abstract It is a fact that Malaysia encounters more than 70% of power outages due to lightning an... more Abstract It is a fact that Malaysia encounters more than 70% of power outages due to lightning and it is known as the “Crown of Lightning” in the world. The effects of lightning on electrical/communication networks and structures account for equipment damage, downtime/data losses and malfunctioning of control and automated systems that may cost the nation over RM 250 million and thousands of human injuries and deaths. Good statistics about death and injuries around the world are just beginning to be collected. This paper ...
ABSTRACT The continuous increase of power demand stresses the system, and adversely affects its s... more ABSTRACT The continuous increase of power demand stresses the system, and adversely affects its security. It may lead to components overload and their outage, voltage decline and its collapse, which may cause entire system blackout. As well, the normal flow of power in transmission lines is not the best possible. In this paper, the Phase Angle Regulator (PAR) and Sen Transformer (ST) are suggested to be used for better utilization of the transmission lines, and to enhance power system security. In this work, the PAR and ST are modelled, and connected in a five bus test system using MATLAB/SIMULINK. The simulation results showed validity of both PAR and ST, and the superiority of ST, since it enhances both power flow and voltage security. Based on the results, the new emerging smart power and voltage control device ST is a very effective tool that can be combined into Smart Grids (SGs). It is found that, usage of ST not only manages line flow congestion and maintains bus voltage, but also increases overall efficiency.
ABSTRACT Generation expansion planning requires simulating the medium term power market. This can... more ABSTRACT Generation expansion planning requires simulating the medium term power market. This can be done based on electricity price signals in the power market. The market clearing price is one of the most important factors to determine the incremental rate of private investor's profit. When calculating this parameter, the planners encounter greater uncertainties in a restructured power market than in a centralized market. This can be critical when renewable energies participate in this type of electricity market. In this study, the scenario based method is used to model a wind power plant in the restructured power market. The hourly output of the wind turbine generators is simulated based on a hybrid Auto Regressive and Moving Average-Monte Carlo (ARMA-MC) method. Each scenario of the wind power plant as well as its occurrence probability is determined based on a data mining technique. Then, a new comprehensive model for the restructured power market is proposed to maximize the profit of investors as well as to determine the market clearing price by considering stochastic and rational uncertainties. The stochastic uncertainties include the demand and fuel price that are modelled by using the Monte-Carlo method. The Nash equilibrium in the rational uncertainty as a strategic behaviour of players in the power market is determined by using the Cournot game. The effect of the CO2 tax rate and the bilateral contract are investigated in this study. Finally, the model is implemented in a test power market. According to the findings, this model can be used as a robust and comprehensive model to determine the market clearing price which can be applied for capacity expansion planning.
Abstract It is a fact that Malaysia encounters more than 70% of power outages due to lightning an... more Abstract It is a fact that Malaysia encounters more than 70% of power outages due to lightning and it is known as the “Crown of Lightning” in the world. The effects of lightning on electrical/communication networks and structures account for equipment damage, downtime/data losses and malfunctioning of control and automated systems that may cost the nation over RM 250 million and thousands of human injuries and deaths. Good statistics about death and injuries around the world are just beginning to be collected. This paper ...
ABSTRACT The continuous increase of power demand stresses the system, and adversely affects its s... more ABSTRACT The continuous increase of power demand stresses the system, and adversely affects its security. It may lead to components overload and their outage, voltage decline and its collapse, which may cause entire system blackout. As well, the normal flow of power in transmission lines is not the best possible. In this paper, the Phase Angle Regulator (PAR) and Sen Transformer (ST) are suggested to be used for better utilization of the transmission lines, and to enhance power system security. In this work, the PAR and ST are modelled, and connected in a five bus test system using MATLAB/SIMULINK. The simulation results showed validity of both PAR and ST, and the superiority of ST, since it enhances both power flow and voltage security. Based on the results, the new emerging smart power and voltage control device ST is a very effective tool that can be combined into Smart Grids (SGs). It is found that, usage of ST not only manages line flow congestion and maintains bus voltage, but also increases overall efficiency.
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