As mentioned in this paper that three-dimensional and two-dimensional model of the motor is established and three-dimensional structure of the motor is proposed. The finite element structure of the two-dimensional motor is analyzed by using the two-dimensional finite element analysis method combined with a motor example. The finite element parameters of the motor are designed, and the state parameters of the motor involving flux diagram, magnetic line diagram, magnetic density vector diagram and magnetic density cloud diagram are obtained.

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This paper proposes angular velocity vector feedback speed control system, the amplitude and phase signals of diagonal velocity are extracted, and signals are converted into current and voltage vector signals to achieve high efficiency and speed precision. Brushless motor rotational stability on speed and torque are classified, comparative characteristics analysis of dynamic speed and torque between conventional method and proposed method are simulated, results consisting of speed accuracy, the waveform of stator current and back electromotive force of each phase are all compared and analyzed, verifying fitness and validation of the proposed method.

Aggregating loads and resources on both the supply and demand side of a virtual power plant (VPP) can enhance coordination between distributed generation systems and the power grid, ultimately improving the utilization rate and economic benefits of renewable energy. The energy storage system (ESS) has the added benefit of flexible demand-side resources, which can effectively suppress output uncertainty of distributed units and balance load fluctuations. This paper proposes an improved light robust (ILR) optimization method for the ESS's demand-side resource, which optimizes the conservatism caused by robust optimization (RO) in solving the VPP optimal scheme, ultimately reducing running costs. By analyzing random factors in the VPP operation process, the ILR dynamically calls ESS backup power to participate in system operation when load fluctuation and output are inaccurate or uncertain, provided operational constraints are met. This approach balances both economy and optimization, ensuring the balance between supply and load fluctuates, improving the utilization rate of ESS backup power, and reducing the total operating cost of VPP operation. The case study show that the model can effectively utilize the reserve energy of the ESS to cope with the load fluctuations during normal operation of the system, improve the economy while ensuring the safe operation of the virtual power plant system, and leave some optimization space for decision-makers by utilizing the demand-side resource characteristics of the energy storage system.INDEX TERMS Improve light robust, energy storage system, demand-side resources, uncertainty demand, virtual power plant.

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