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As an integral feature of a future smart grid, demand response (DR) provides utility companies an emerging alternative to boost the reliability performance (e.g., supply adequacy) of power systems. Unlike for physical devices, the availability of DR is not only dependent on the operations of electric appliances on the demand side but can be affected by customers’ behaviors. Thus, how or to what extent...
In line with the inevitable requirements of social and economic development, smart distribution network (SDN) has become a major trend of the world's power grid development currently. In this paper, in-depth analysis and evaluation on benefits of user's demand response is conducted under the smart distribution network. Taking full account of the diversity of SDN participating subjects and the difference...
In a smart grid environment, the joint operation of multiple Smart Buildings (SBs) could be more advantageous than the independent operation of each individual SB. In order to enable the joint operation, the concept of Smart Building Cluster (SBC) is introduced in this paper. An energy management framework for achieving optimal operations of SBC is proposed, and the information exchange processes...
A multi-objective optimization model based on real time pricing, controllable load and a heuristic technique is proposed for household micro-grids. The objective of the model is to reduce the electricity bill cost and minimize the difference between the temperature of Heating, Ventilation and Air Conditioning (HVAC), Electric Water Heater (EWH) and their user-defined target temperature. A hybrid coding...
The renewable distributed generation (RDG) has gained booming development in the past decade, thus its capability to displace conventional generation has become an urgent issue to be studied for future power system planning. In this paper, the capacity credit (CC) of RDG is investigated given an active distribution system (ADS) context, wherein the impact of demand response (DR) is highlighted. To...
With the development of science and technology, the security of power system is facing great challenge, and it is necessary to implement the analysis of electricity behavior characteristics based on big data technology. Today, in the big data environment of the smart grid, it is generally to analyze the performance from a single aspect of power grid, this analysis method lack of theoretical modeling...
Photovoltaic (PV)-assisted charging station is one of important charging facilities served for Electric Vehicles (EV). To minimize the operation cost of photovoltaic (PV)-assisted electric vehicle (EV) charging station, an energy management considering demand response (DR) strategy is proposed. The wavelet neural network (WNN) is utilized to forecast the price based on history data and the forecasting...
Developing EVs has been established as an effective way to reduce carbon emission in development and ensure energy security by many countries. The PV-based EVCS (EV charging station) can efficiently alliviate the charging pressures of the distribution network and reduce EVs indirect emissions. A Real-time power utilizing strategy considering real-time price for PV-based EV charging station is proposed...
Real-time database is the combination of real-time systems and database technology with the qualities of high degree of real-time and high data throughput, etc, and has been widely used in the field of automatic control. Historical data is sampled from real-time database system, and preserved as historical data in the database. Users are able to access historical data at any time from the database...
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