Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The pro...

Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also, the optimal scheduling of MGs will be result in reliable and economical operation of distribution system. In this paper, an operational planning model of a MG which considers multiple demand response (DR) programs is proposed. In the ...

Large commercial and industrial loads known as large energy consumers are always seeking to reduce their energy costs and consequently they are utilizing renewable and non-renewable energy sources in procurement of their required energy. Use of renewable energy sources (RESs) and plug-in electric vehicles (PHEVs) parking lot without proper planning will make technical and economic problems for ...

While Demand Response (DR) has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is needed to maximize its potential. This paper presents analyses from the economics perspective of pervasive, incentive-based DR, and consider cases whether (1) DR is used to encourage consumers to decrease or increase their demand, and (2) utility compan...

with the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. as a key component of smart home , electric vehicle(ev) ,increase...

1 Introduction Demand response (DR) refers to a set of dynamic demand mechanisms that aim to manage electricity consumption in response to supply-side signals. DR can be used for the purpose of demand regulation (e.g. to maintain voltage and frequency within safety limits) as well as for energy balance (e.g. to shift demand to off-peak periods, to curtail demand during emergency situations, or ...

Abstract As electricity market reforms continue and households consume more electricity, Household Electricity Response (HER) becomes an essential part of Demand (DR). The ability to adjust their demand is a critical factor in evaluating the demand-side response capacity power systems. Therefore, prediction method household adjustable (HAE) based on cross-domain generalization proposed solve pr...

With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...

Growing demand is straining our existing electricity generation facilities and requires active participation of the utility and the consumers to achieve energy sustainability. One of the most effective and widely used ways to achieve this goal in the smart grid is demand response (DR), whereby consumers reduce their electricity consumption in response to a request sent from the utility whenever...