Abstract
To improve the overall economy of the wind-energy storage power station, a direct control strategy is proposed to track the deviation of the wind power plan. Compared with the traditional strategy of wind power fluctuation mitigation, the control strategy in this paper can change the charge and discharge power of energy storage in real-time according to the deviation of wind power and the state of charge (SOC). When the power of wind power changes suddenly, the strategy can make the valid judgment and prevent control failure, so that Grid-connected power of wind farm in extreme cases can also meet the requirements of the safe and stable operation of the power system. The strategy uses the discrete Fourier transform (DFT) to analyze the power deviation of the wind farm in the frequency domain and obtains power compensation requirements for different time scales. Energy storage equipment with corresponding characteristics is used to classify control of deviation of wind power. The compensated power deviation can meet the requirements in market competition. At the same time, the power exchange between storage systems is carried out to optimize the state of charge in real-time and make the energy-type energy storage in shallow charge/discharge state, which effectively reduces the repeated regulation of energy storage systems. Finally, this paper establishes a comprehensive economic benefit model of the energy storage system. Combining the Markov Chain Monte Carlo method (MCMC) and backward scenario reduction technology generate multiple scenarios. The calculation results show that the proposed strategy can effectively track the deviation of the wind power plan. Furthermore, prolong the service life of the energy storage system and improve the market competitiveness of wind power.
Highlights
In the aspect of the modeling control strategy, the planning model based on the minimum deviation value of wind power output is studied in [8], which considers the lifetime of the battery energy storage system (BESS) and prediction errors
The evaluation standard of wind power control performance is divided into 1 min and 10 min in this paper, which are more in line with the characteristics of wind power output than the traditional assessment standard
The simulation analyses on the hybrid wind-energy storage (wind-ES) power system illustrate the effectiveness of the proposed strategy and validate that it performs feasible in the economy
Summary
In the aspect of the direct control strategy, reference [2] analyzes the energy storage scale needed to minimize hourly wind forecast error in the case of pre and post-compensation. In the aspect of the modeling control strategy, the planning model based on the minimum deviation value of wind power output is studied in [8], which considers the lifetime of the battery energy storage system (BESS) and prediction errors. C. LIMITATIONS AND CONTRIBUTIONS The above control strategies provide abundant theoretical support for reducing the deviation of the wind power plan, but there are still several problems to be improved. According to different time scale response characteristics of wind power deviation, corresponding energy storage equipment should be selected to realize accurate compensation of deviation.
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