Microgrid energy optimization method based hybrid energy storage dispatching under different time scales

Abstract

The invention relates to a microgrid energy optimization method based hybrid energy storage dispatching under different time scales. Microgrid optimized dispatching is divided into day-ahead dispatching and real-time dispatching according to different time scales; for the day-ahead dispatching, the operation plan of future 24 hours is provided one day in advance, the time granularity is 1 hour, the connecting line interaction power and the fuel cell (FC) output are optimized according to the difference between the electricity prices in the peak and valley periods, and a storage battery (SB) is dispatched to achieve low-storage high-output interest arbitrage; the real-time dispatching coordinates with the day-ahead dispatching, the microsource output is allocated according to the day-ahead plan, the time granularity is 1 minute, the power fluctuation in the microgrid is smoothened by use of a first-order low-pass filtering algorithm, the filtered fluctuating power is distributed reasonably between storage battery energy accumulation and a super capacitor by use of a moving average filtering algorithm and then reference is provided for the optimized dispatching of hybrid energy storage.

Description

technical field [0001] The invention relates to a micro-grid optimization scheduling technology, in particular to a micro-grid energy optimization method based on hybrid energy storage scheduling under different time scales. Background technique [0002] Micro-grid systems often use energy-based energy storage devices such as storage batteries (Storage Battery, SB) as the main energy storage equipment, but due to their shortcomings of long charge and discharge cycles, short life, and high cost, it is difficult to deal with high-frequency components of power fluctuations. Super Capacitor (SC) as a representative of power energy storage has the characteristics of high power density, long cycle life, fast response, etc., and has obvious complementary advantages with batteries. Therefore, connecting the Hybrid Energy Storage System (HESS) in the microgrid can solve the problem that the two kinds of energy storage are restricted by the energy density and response speed when used ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of poor day-ahead scheduling prediction accuracy, long time scale, and difficulty in tracking the actual operating state, the present invention proposes a micro-grid energy optimization method based on hybrid energy storage scheduling under different time scales, and real-time scheduling cooperates with day-ahead scheduling , and make timely corrections to the day-ahead scheduling, track the running status of each unit in real time, and adjust the day-ahead plan in time, which improves the accuracy of optimization and is more in line with actual scheduling needs

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