With the ever-increasing growth of electric vehicles (EV)s in power industry, their significance as a flexible load has increased drastically. On other hand, uncontrolled charging these can cause serious problems grid, such peak demand, decrease life expectancy transformers and result, an increase costs EVs for EV owners. In this paper, framework day-ahead optimal is proposed which through opti...

Renewable energy sources (RES) generation has huge environmental and social benefits, as a clean source with great potential. However, the difference in uncertainty characteristics of RES electric–thermal loads poses significant challenge to optimal schedule an integrated system (IES). Therefore, for different multiple uncertainties IES, this paper proposes type-II fuzzy interval chance-constra...

The increasing trend of integrating Renewable Energy Sources (RESs) into power systems could cause operational challenges in the system from flexibility and reliability perspectives. Respectively, utilities would be relied on local flexible resources to address requirements systems. In this respect, distribution participate ancillary markets along with wholesale energy capacity shortage system....

Abstract Industrial electricity demand is growing rapidly, whereby, energy consumption modeling and optimization techniques in industries has attracted significant attention recent years. In this paper, a new model of the production process aluminum, steel cement presented accordance with linear piece-wise approximation (LPWA) method. The proposed subsequently implemented day ahead management s...

Due to the source and load prediction errors uncertainties, real operation state of microgrid may deviate significantly from expected state, which leads prevent system reaching its economic effects. In order obtain optimal effects for scheduling, an scheduling model considered demand responses is built in this paper firstly, then a multi-time scale method based on day-ahead robust optimization ...

A novel method for a day-ahead optimal operation of a hybrid microgrid system including fuel cells, photovoltaic arrays, a microturbine, and battery energy storage in order to fulfill the required load demand is presented in this paper. In the proposed system, the microgrid has access to the main utility grid in order to exchange power when required. Available municipal waste is utilized to pro...

This paper proposes a methodology for overhead line ampacity forecasting that enables empirical probabilistic forecasts to be made up one day ahead, which is useful grid scheduling and operation. The proposed method based on the statistical adaptation of weather line-span scale aims produce reliable allow selection low risk overheating conductors by TSOs DSOs. Moreover, evaluation capacity util...