Microgrids (MGs) usually consist of several types of Distributed Energy Resources (DERs) like renewable and conventional generation units, energy storages and responsive loads. In order to operate the MG with minimum cost and maximum reliably, an integrated scheduling model of DERs should be implemented. In this paper, an operational planning model of a MG which considers Demand Response (DR) a...

In this paper, an optimal scheduling of thermal and wind power plants is presented by using a stochastic programming approach to cover the uncertainties of the forecasted generation of wind farms. Uncertainties related to wind forecast error, consequently wind generation outage power and also system load demand are modeled through scenario generation. Then, with regard to day-ahead and real-tim...

Most demand management approaches with nonmandatory policies assume full users’ cooperation, which may not be the case given users’ beliefs, needs and preferences. In this paper we propose a mechanism for demand management including incentives both with and without money. The mechanism is validated by means of simulation, modeling the consumers as a finite multiagent system which evolves until ...

Is it better to apply effort to increase personal consumption, or control what one wants? The model presented here provides a characterization of demand for self control, namely, its responsiveness to price and risk. Unlike most other models of self control, the model does not identify self control with time inconsistency or rely on the multiple-selves framework. Self control refers to resource...

In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blo...

Demand response is widely employed by today’s data centers to reduce energy consumption in response to the increasing of electricity cost. To incentivize users of data centers participate in the demand response programs, i.e., breaking the “split incentive” hurdle, some prior researches propose marketbased mechanisms such as dynamic pricing and static monetary rewards. However, these mechanisms...

Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose the study developing a method analysing tariff’s in terms demand purposes based on statistical data concerning tariffs’ use by consumers and price elasticity their demand. A cas...