We consider interruptible electricity contracts issued by an electricity retailer that allow for interruptions to electric service in exchange for either an overall reduction in the price of electricity delivered or for financial compensation at the time of interruption. We provide an equilibrium model to determine electricity prices based on stochastic models of supply and demand. In the conte...

Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In thi...

The power industry is the main battlefield of CO2 emission reduction, which plays an important role in the implementation and development of the low carbon economy. The forecasting of electricity demand can provide a scientific basis for the country to formulate a power industry development strategy and further promote the sustained, healthy and rapid development of the national economy. Under ...

Precisely and accurately predict the electricity demand is an important task for the government in each country. In addition, establishing the lowest upper bound for the electricity demand also avoids unnecessary power plant investment. To this end, a hybrid fuzzy linear regression (FLR) and back propagation network (BPN) approach is proposed in this study. In the proposed methodology, multiple...

This paper presents a preliminary study on occupant behavior modeling for estimating high-resolution electricity demand profile of residential buildings. First, the existing occupant behavior models are considered. We then introduce an occupant behavior model developed on the basis of the approach employed in an existing model and an energy demand model that uses the output of the occupant beha...

Demand Response (DR) programs encourage consumers to adjust their power consumption in response to DR events such as changes in electricity prices or sudden peaks in demand. While significant savings can be thus achieved, the real success of DR programs depends on the incentive compatible participation of consumers and their timely response to DR signals. In this work, we consider households th...

In a deregulated electricity market, CM is one of the key functions of a System Operator (SO) as congestion threatens system security and may cause rise in electricity price resulting in market inefficiency. Rescheduling generations and demands is an effective tool to relieve congestion. This paper presents a congestion management (CM) algorithm by optimal rescheduling of active powers of gener...

The deregulation of electricity markets has a very large impact on almost all the power systems around the world. Competitive markets are complex systems with many participants who buy and sell electricity. Much of the complexity arises from the limitations of the underlying transmission systems and the fact that supply and demand must be in balance at all times. Generally the Locational margin...

Demand Response (DR) programs encourage consumers to adjust their power consumption in response to DR events such as changes in electricity prices or sudden peaks in demand. While significant savings can be thus achieved, the real success of DR programs depends on the incentive compatible participation of consumers and their timely response to DR signals. In this work, we consider households th...