LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Bi-level Day Ahead Optimization of V2G Dispatch Strategy Based on the Dynamic Discharging Electricity Price

Photo by homajob from unsplash

Abstract During the past decade, energy imbalance problem between supply and demand, together with the integration of renewable energy, have drawn much attention. Vehicle-to-Grid (V2G) technology, which aims at storing… Click to show full abstract

Abstract During the past decade, energy imbalance problem between supply and demand, together with the integration of renewable energy, have drawn much attention. Vehicle-to-Grid (V2G) technology, which aims at storing the electric power in the load valley period and supporting the grid at the load peak time, is considered as one of the most promising way to solve the energy imbalance problem. However, due to the random distribution characteristics of electric vehicles (EVs), the scale of interconnection may cause threat to the safety and economy of the power grid operation. A time-of-day price incentive mechanism is employed in this paper to address the problem, which helps to guide the EV users to shift their charging/discharging behaviors during the valley/peak period to achieve a reasonable scheduling strategy based on the dynamic discharging electricity price. Besides, mathematical analysis has been carried out to demonstrate the convergence of the proposed coordination strategy, and a case study shows that the strategy is effective.

Keywords: based dynamic; dynamic discharging; strategy based; price; discharging electricity; strategy

Journal Title: IFAC-PapersOnLine
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.