The capacitor bank and synchronous condenser have been the only available sources of reactive power.Nowadays,most of the appliances use a power electronic interface for their connection.Applying a power electronic int...The capacitor bank and synchronous condenser have been the only available sources of reactive power.Nowadays,most of the appliances use a power electronic interface for their connection.Applying a power electronic interface addsmany features to these appliances.One of the promising features is their capability to interact with Volt-VAR programs.In this paper was investigated the reactive power interaction of the end-user appliances.For this purpose,the distribution network buses are ranked based on their effectiveness,followed by studying their interaction in the Volt-VAR program.To be able to consider the uncertainties,Probability Density Function(PDF)curve was discretized to represent different scenarios,and the reduction method was utilized to reduce the situations.展开更多
Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operat...Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers' participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers' demand(due to price elasticity) may result in a benefit of about 10% for customers in the long term.展开更多
文摘The capacitor bank and synchronous condenser have been the only available sources of reactive power.Nowadays,most of the appliances use a power electronic interface for their connection.Applying a power electronic interface addsmany features to these appliances.One of the promising features is their capability to interact with Volt-VAR programs.In this paper was investigated the reactive power interaction of the end-user appliances.For this purpose,the distribution network buses are ranked based on their effectiveness,followed by studying their interaction in the Volt-VAR program.To be able to consider the uncertainties,Probability Density Function(PDF)curve was discretized to represent different scenarios,and the reduction method was utilized to reduce the situations.
文摘Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers' participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers' demand(due to price elasticity) may result in a benefit of about 10% for customers in the long term.
