As a result of rapid urban economic development and improvement in living standards, urban residential electricity consumption in China is increasing quickly. Although the factors which influence the urban residential load are complex, an objective analysis followed by the setting up of a logical urban residential load forecast model can offer a scientific basis for decisions regarding urban po...

under the smart grid environments, demand response resources (drrs) as power system resources can effectively participate in and improve performance of electric systems. congestion management is one of the technical challenges in which drrs can play a significant role. previously, congestion management is applied without considering the power system uncertainties. therefore, a stochastic conges...

The demand-side management scheme, one of the smart grid’s distribution side features, is well accepted due to its role in controlling energy consumption residential buildings by ensuring sustainability, leading concept buildings. consumers’ appropriate response without compromising comfort, referred as demand response, helps decrease their electricity bill. Further, flexibility and controllabi...

In the present scenario, the increasing penetration of solar energy can be significant challenge due to the variation of power generation. One of the solution to improve the quality of power supply and guarantee of system stability is energy storage system(ESS). In this project, a AC-DC hybrid micro grid is designed based on photovoltaic (PV), generator and energy storage system are coordinated...

This paper presents an energy management strategy to supply residential load by hybrid fuel cell power plant (FCPP). Economical fuel cell (FC) model includes thermal load, local electrical load, operational cost, startup cost and different tariffs on electricity during the day hour is discussed.  Several Strategies have been presented for supplying residential load (electrical and thermal loads...

The forecasting of building electricity demand is certain to play a vital role in the future power grid. Given the deployment of intermittent renewable energy sources and the ever increasing consumption of electricity, the generation of accurate building-level electricity demand forecasts will be valuable to both grid operators and building energy management systems. The literature is rich with...