Abstract
Energy storage (ES) only contributes to a single-scene (peak or frequency modulation (FM)) control of the power grid, resulting in low utilization rate and high economic cost. Herein, a coordinated control method of peak modulation and FM based on the state of ES under different time scales is proposed. Firstly, for monotone peak and FM control scenarios, the ES configuration and scheduling model is constructed with the goal of maximizing net profit. Secondly, to further improve the ES utilization rate and optimize the operating cost of ES, a cooperative control method of peak modulation and FM is proposed. This method can realize the switch between peak modulation and FM control of ES and improve the ES utilization rate and system economy. Finally, the simulation results show that, compared with that of mono-peak and single-FM control, the ES efficiency of the peak-FM multiscenario optimization scheduling method is improved by 16.25% and 37.29%, respectively. The annual net income is increased by €28,021.50, the investment recovery period is shortened by 0.27 years, and the ES configuration economy is effectively improved.
Highlights
With the introduction of a series of clean energy grid-connection policies in China in recent years, especially the “dual carbon” policy in 2021, the speed of new energy grid-connection accelerated
energy storage (ES) only contributes to a single-scene control of the power grid, resulting in low utilization rate and high economic cost
A coordinated control method of peak modulation and frequency modulation (FM) based on the state of ES under different time scales is proposed
Summary
With the introduction of a series of clean energy grid-connection policies in China in recent years, especially the “dual carbon” policy in 2021, the speed of new energy grid-connection accelerated. The energy storage (ES) system has the characteristics of fast response, high energy density, and flexible configuration In recent years, it was widely concerned in power grid auxiliary services [7,8]. An intelligent control strategy completely based on the adaptive dynamic programming (ADP) is developed for the frequency stability, which is designed to adjust the power outputs of microturbine and ESS when photovoltaic (PV) power generation is connected into the microgrid [16]. The other parts of this paper are as follows: the second part focuses on the feasibility of energy storage “off-time reuse” strategy; the third part focuses on multiscene division and coordination control strategy based on SOC; the fourth part introduces ES multiscenario economic scheduling model; the fifth part is the example simulation analysis; and the sixth part is the conclusion
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