Abstract
In order to reduce the impact of the randomness and volatility of renewable energy on the economic operation of AC/DC hybrid microgrids, a multi-time-scale rolling optimization strategy is proposed for the grid-connected AC/DC hybrid microgrids. It considers the source-load uncertainty declined with time scale reduction, and the scheduling cooperation problem of different units on different time scales. In this paper, we propose a three-time-scale optimal strategy of the day-ahead, intraday and real-time dispatching stage and a two-level rolling optimal strategy of the intraday and real-time stage, aiming at minimizing the operating cost. We added the power penalty cost in the rolling optimization model to limit the energy state of the energy storage system in the constraint, and improve the power correction and tracking effect of the rolling optimization. A typical-structure AC/DC hybrid microgrid is analyzed in this paper and the simulation results are shown to demonstrate the feasibility and effectiveness of the proposed multi-time-scale rolling optimal dispatch.
Highlights
With the rapid increase of distributed energy supply in the power grid, more and more attention has been paid to the energy management of different types of distributed energy [1]
Aiming at grid-connected alternating current (AC)/direct current (DC) hybrid microgrids, this paper proposes a method of energy storage and tie-line power response and tracking, that is, the penalty term of power correction is added to the objective function of its intraday
The analysis above shows that the multi-time-scale rolling optimization model for gridAC/DC hybrid microgrids established in this paper has good practicability
Summary
With the rapid increase of distributed energy supply in the power grid, more and more attention has been paid to the energy management of different types of distributed energy [1]. The optimal dispatch of grid-connected AC/DC hybrid microgrids by combining a demand side response and energy storage operation was proposed in [7], and can effectively smooth tie-line power. The above research only focuses on the optimal scheduling of the source-load power prediction data of a specific time scale of AC/DC hybrid microgrids. A rolling optimization model for microgrid economic dispatch has been proposed [13], but it does not consider the relationship of multiple time scales. The operating cost is considered in the objective function of each time-scale model, and the power correction penalty cost of energy storage, two-way converter and grid-connected tie-line are added into the objective function of intra-day and real-time rolling optimization. Compared with the traditional rolling optimization, the power correction and tracking effects are both improved
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
