Research on Energy Optimal Control Strategy of DC PV-Energy Storage System for Unmanned Aerial Vehicle

Wang, Feng; Sun, Xiaoping; He, Xiaocong; Zhuo, Fang; Hao, Yi

doi:10.1109/jestpe.2020.2983597

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Similar to Gao et al's work, Sun et al [25] considered the EMS for high-altitude solar-powered UAVs in multiple flight phases which is more suitable for the day and night cycle flight in engineering applications. Hosseini et al [18] developed power allocation on energy optimal in trajectory planning for hybrid powered UAVs, while Wang et al [26] proposed a comprehensive energy optimal control strategy for mission profiles, which could realize the uninterrupted and stable power supply in the multiflight phase. Qi [27] studied an adaptive rule-based EMS to extend the battery lifetime, the strategy is adaptive with load conditions of power consumption variation.…”

Section: Introductionmentioning

confidence: 99%

State-of-Charge Trajectory Planning for Low-Altitude Solar-Powered Convertible UAV by Driven Modes

Cao,

Liu

2024

Drones

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The conversion efficiency of solar energy and the capacity of energy storage batteries limit the development of low-altitude solar-powered aircrafts in the face of challenging meteorological phenomena in the lower atmosphere. In this paper, the energy planning problem of solar-power convertible unmanned aerial vehicles (SCUAVs) is studied, and a degressive state-of-charge (SOC) trajectory planning method with energy management strategy (EMS) is proposed. The SOC trajectory planning strategy is divided into four stages driven by three modes, which achieves the energy cycle of SCUAV’s long-endurance cruise and multiple hovers without the need to fully charge the battery SOC. The EMS is applied to control the output of solar cell/battery and power distribution for each stage according to three modes. A prediction model based on wavelet transform (WT), long short-term memory (LSTM) networks and autoregressive integrated moving average (ARIMA) is proposed for the weather forecast in the low altitude, where solar irradiance is used for the prediction of solar input power, and the wind and its inflow direction take into account the multi-mode power prediction. Numerical and simulation results indicate that the effectiveness of the proposed SOC trajectory planning method has a positive impact on low-altitude solar-powered aircrafts.

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Section: Introductionmentioning

confidence: 99%

State-of-Charge Trajectory Planning for Low-Altitude Solar-Powered Convertible UAV by Driven Modes

Cao,

Liu

2024

Drones

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“…In this paper, by introducing the principle of differentiated planning and complementary and graded utilization of energy sources, the problems of serious environmental pollution by fossil energy sources, difficulty in the consumption of renewable energy sources, and low energy utilization of traditional energy systems are efficiently solved [6]. By integrating multiple energy subsystems, the barriers between different energy subsystems are broken, and the optimal scheduling of each energy source of the whole energy system is realized, which significantly improves the energy utilization efficiency [7]. This efficient use of energy and synergy of multiple subjects has received wide attention [8].…”

Section: Introductionmentioning

confidence: 99%

A Method for Optimal Allocation of Distributed PV and Energy Storage Based on High Reliability of Distribution Network

Shao

Zhou

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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In the context of the current widespread application of distributed PV, the energy storage system has bi-directional power characteristics and flexible regulation capability, and the reasonable joint planning of the two can enhance the safe and reliable operation of the system. In order to maximize long-term economic benefits, this paper proposes an optimal allocation method of distributed PV and energy storage based on high reliability of distribution network. Considering both normal operation and disaster scenarios for distributed photovoltaic storage planning, firstly, the investment and operation cost of distributed energy storage system is the target, and the storage planning model under normal operation scenario is established by considering the storage access location, configuration capacity, load state and grid operation state as constraints; then, the distributed photovoltaic storage optimal configuration model under disaster scenario is established by taking grid economy as the objective function. In summary, a two-layer planning model is established, with the upper layer using genetic algorithm to optimize the location, power and capacity of energy storage configuration, and the lower layer using particle swarm algorithm combined with tide calculation tool to optimize the intra-day operation strategy of energy storage; finally, the feasibility and effectiveness of the optimal configuration method are verified.

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Switched-Reluctance Motor Drive for More Electric Aircraft With Energy Storage Buffer

Liaw

Jhou

Yang

2023

IEEE Trans. Aerosp. Electron. Syst.

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Research on Energy Optimal Control Strategy of DC PV-Energy Storage System for Unmanned Aerial Vehicle

Cited by 5 publications

References 19 publications

State-of-Charge Trajectory Planning for Low-Altitude Solar-Powered Convertible UAV by Driven Modes

State-of-Charge Trajectory Planning for Low-Altitude Solar-Powered Convertible UAV by Driven Modes

A Method for Optimal Allocation of Distributed PV and Energy Storage Based on High Reliability of Distribution Network

Switched-Reluctance Motor Drive for More Electric Aircraft With Energy Storage Buffer

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