under the smart grid environment, demand response resources (drrs) are introduced as a virtual power plant to enhance power system adequacy. drrs often fail to reduce their load due to some external factors. in this paper, a reliability model of a drr is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

Grid computing environments include heterogeneous resources shared by a large number of computers to handle the data and process intensive applications. In these environments, the required resources must be accessible for Grid applications on demand, which makes the resource discovery as a critical service. In recent years, various techniques are proposed to index and discover the Grid resource...

this paper proposes an optimal power flow (opf) algorithm by direct load control (dlc) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. the cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with dlc programs. the load curtailment cost is based ...

with the development of deregulated power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benefi...

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...