Demand response involves system operators using incentives to modulate electricity consumption during peak hours or when faced with an incidental supply shortage. However, typically have imperfect information about their customers’ baselines, that is, had the incentive been absent. The standard approach estimate reduction in a customer’s then is counterfactual baseline. this not robust estimati...

Real-time applications such as IP Telephony demand strict quality of service (QoS) from the underlying network. As more enterprises deploy IP Telephony, it is becoming imperative to significantly improve the network reliability as seen by these applications. As such, we recently proposed a practical overlay architecture, ORBIT (Overlays providing Reliability for Better IP Telephony). Our archit...

In today’s restructured environment, congestion management plays an essential role in power system operation. Different methods are presented and discussed in this respect for congestion management in short-term and long-term intervals. It is attempted in the present paper to investigate the impact mechanism of FACTS devices and demand response programs together with generation re-dispatch as s...

Nowadays, demand response programs (DRPs) play an important role in price reduction and reliability improvement. In this paper, an optimal integrated model for the emergency demand response program (EDRP) and dynamic economic emission dispatch (DEED) problem has been developed. Customer’s behavior is modeled based on the price elasticity matrix (PEM) by which the level of DRP is determined for ...

Flexibility is a key enabler for the smart grid, required to facilitate Demand Side Management (DSM) programs, managing electrical consumption to reduce peaks, balance renewable generation and provide ancillary services to the grid. Flexibility analysis is required to identify and quantify the available electrical load of a site or building which can be shed or increased in response to a DSM si...

Abstract-The purpose of this paper is to show how a network, of wireless current sensors can be used to help consumers, at the residential level, monitor and control appliances, within their home in order to lower both total peak electricity demand and the individual’s electricity costs. This project proposes a novel; new, and promising demand response technology, by monitoring these appliances...

in this paper, a hybrid method for limited resource allocation and leveling in complex multi-stage, multi-product and multi-period production planning problems with aim of lot-size determination and total cost minimization has been proposed. this problem consists of multiple products with sequential production processes that are produced in different periods to meet the customers demand. by det...

We consider a consumer of a resource, such as electricity, who must pay a per unit charge to procure the resource, as well as a peak demand charge. We will present an efficient linear programming formulation for the demand response of such a consumer who could be a price taker, industrial or commercial user of electricity that has some ability to self-generate. We will establish a monotonicity ...

Share of generating units from renewable energy sources is constantly increasing and introducing stochastic nature into the system. This results in undesirable fluctuations of mains frequency and thus, a rising need for frequency regulation services. Providing sufficient power reserves presents a complicated task and usually requires special types of fast response power plants running part-load...