Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles

By Shengnan Shao, Manisa Pipattanasomporn, Saifur Rahman. IEEE Transactions on Smart Grid, 2011

373 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response (2018, methodology): “A DR model based on real time price (RTP) has been developed by [8] and DR has been used to mitigate the impacts of EVs on smart distribution systems by [9] and [10].”
Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households (2014, background): “[14] also investigated EV for DR based load shaping of a distribution transformer serving a neighborhood.”
Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations (2015, background): “Furthermore, [42] proposes a demand response strategy to decrease the potential impacts of new load peaks created by EV integration, while minimizing the cost of upgrading the infrastructure.”
Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (2015, background): “Thus, as an extra evaluation under the last case study, a peak power limiting DR strategy is also considered in addition to price-based DR strategy that is much likely to be faced in real life as LSE can limit the power that is drawn from the grid in certain peak power periods to avoid more sharp pe”