To combat the climate change, there is an ongoing shift towards a more decentralized and renewable energy system in Germany. The increasing number of volatile distributed generators and large consumers requires a coordinating smart grid system in order to avoid an expensive grid expansion. Due to the high power consumption, especially the charging process of electric vehicles (EVs) has to be co...

Increasing environmental awareness and energy costs encourage the increase of the contribution of renewable energy sources (RES) to the energy supply of buildings. However, the integration of RES and energy storage systems introduces significant challenges for the energy management system (EMS) of complex building energy systems. An energy management strategy based on fixed control rules may fa...

In this paper, we survey 82 papers related to revenue management and dynamic pricing of electricity and lists future research avenues in this field. Dynamic pricing has the potential to modify electric load profiles by charging different prices at different demand levels and hence can act as an effective demand side management tool. There are different forms of dynamic prices that can be offere...

This paper presents look-ahead energy management system for a grid-connected residential photovoltaic (PV) system with battery under critical peak pricing for electricity, enabling effective and proactive participation of consumers in the Smart Grid’s demand response. In the proposed system, the PV is the primary energy source with the battery for storing (or retrieving) excessive (or stored) e...

Main challenges within the energy system of tomorrow are more volatile, less controllable and at the same time more decentralized electricity generation. Furthermore, the increasing research and development activities on electric vehicles (EV) make a significant share of electric vehicles within the passenger car fleet in 2030 more and more likely. This will lead to a further increase of power ...

This contribution investigates to what extent the current grid can cope with area-wide deployment of electrical vehicles and renewable energies. It is also investigated at what point additional measures, such as grid reinforcement or load management systems (LMS) are necessary for stable operation. Simulations where conducted with the power grid calculation software DIgSILENT PowerFactory. Diff...

Accurate models for electric power load forecasting are essential to the operation and planning of a power utility company. Load forecasting helps electric utility to make important decisions on trading of power, load switching, and infrastructure development. Load forecasts are extremely important for power utilizes ISOs, financial institutions, and other stakeholder of power sector. Short ter...