考虑源网储协同配合下的移动式波浪能发电平台并网优化调度

doi:10.19595/j.cnki.1000-6753.tces.232102

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Abstract As a new type of renewable energy, wave energy power generation output is periodic and impulsive. Since island microgrids in the marine environment lack inertia and rotating backup, meeting the access requirements for periodic and impulsive power supplies is challenging. In real-world application scenarios, wave energy power generation adopts a maximum power control strategy and energy storage to smooth out impacts when connected to the grid. However, traditional strategies ignore the huge charge and discharge loss of battery storage during this process, resulting in the economic costs of the island microgrid. This paper proposes a grid-connected strategy for the wave-energy power generation platform, considering source, grid, and storage coordination. This strategy modulates the power of wave energy power generation from the disturbance source and uses the microgrid and energy storage to jointly absorb the power impact. The simulation results show that the proposed strategy can reduce battery losses and improve grid connection friendliness.
First, a mathematical model for the output power of the hydraulic wave-energy power generation device is constructed. The valve opening power of the device in each generation cycle can be changed to modulate the power curve and improve its impulsive characteristics. Secondly, since the microgrid's ability to absorb power impact is related to the inertia, an island microgrid inertia evaluation model and a post-disturbance frequency response model are established. The difference between the grid-connected disturbance of the wave energy power generation and the general step disturbance is subdivided, and the changing rate of frequency and transient frequency extreme values in the frequency response process are calculated. These two indicators are used to quantify the ultimate bearing capacity of the microgrid. Finally, with the minimum economic cost as the objective function, a global grid-connected dispatch model is established under multiple source, network, and storage constraints. In this model, the energy flow interaction processes of the three sides are flexibly coupled, thereby greatly reducing economic costs.
The simulation with the actual island microgrid data shows that when the wave energy power generation adopts the maximum power point tracking (MPPT) control strategy, the equivalent battery loss is 1 440.6 kW·h, and the maximum power impact is 100 kW. In the flexible control strategy adopted by the wave energy power generation, the equivalent battery loss is 516.2 kW·h, and the maximum power impact is reduced to less than 70 kW. In addition, if the energy storage and microgrid jointly absorb the power impact, the battery loss is only 302.1 kW·h. Movable and high penetration scenarios of wave energy are further simulated to verify the proposed model.
The following conclusions can be drawn. (1) The output power curve of the wave energy power generation using the flexible control strategy is smoother than the MPPT strategy, which greatly reduces the rate loss and charge and discharge loss of energy storage. The wave energy device can also flexibly adjust the impact disturbance when connected to the grid to ensure frequency safety. (2) According to the simulation results, the economic benefits of the global consumption strategy that comprehensively considers the coordination of source, network, and storage are 17.8% higher than the traditional strategy that only uses energy storage. The economy and security of the microgrid operation are further improved if mobility is considered.

Key words： Island microgrid wave energy generation shock absorption optimize scheduling

Received: 19 December 2023

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TM732

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	He Weijie
	Feng Zhongnan
	Lin Xiangning
	Wei Fanrong
	Gu Benshuo

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He Weijie,Feng Zhongnan,Lin Xiangning等. Grid-Connected Optimization Dispatch of Mobile Wave Energy Power Generation Platform Considering the Coordination of Source, Network and Storage[J]. Transactions of China Electrotechnical Society, 2024, 39(20): 6502-6516.

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