Special Issue on “Modeling, Analysis and Control Processes of New Energy Power Systems”

Due to the abundant scenery resources in Antarctica, for the unmanned vehicle working in the polar region, the scenery power supply system is built on it, and the control strategies for wind power systems is studied. The max power of the system is tracked by the climbing method, and the variable pitch control ensures that the output power of the generator is near the rated power when the air speed exceeds the rated air speed of the wind turbine. The system is modeled using Matlab/Simulink, and the two control methods are simulated. The simulation results of the system as a whole show that the control strategy can ensure the stable and reliable operation of the system under the environmental conditions of extreme cold and strong wind.

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“…The basic wind speed is generally taken as a constant during the simulation calculation. The gust wind speed can be expressed as [5] :…”

Section: Wind Speed Modelmentioning

confidence: 99%

Research on Control Strategy of Polar Unmanned Vehicle Wind Power Generation System

Chen

Dou

et al. 2023

J. Phys.: Conf. Ser.

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Planning Strategies for Distributed PV-Storage Using a Distribution Network Based on Load Time Sequence Characteristics Partitioning

Zhang

Yang

Zhang³

et al. 2023

Processes

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At present, due to the fact that large-scale distributed photovoltaics can access distribution networks and that there is a mismatch between load demand and photovoltaic output time, it is difficult for traditional distributed photovoltaic planning to meet the partition-based control of high permeability photovoltaic grid-connected operations. As a solution to this problem, this paper proposes a planning method for photovoltaic storage partitions. First of all, a partitioning method for electrical distance modularity based on voltage/active power and voltage/reactive power is presented, along with a modified AP-TD-K-medoids trilevel clustering algorithm that was designed to cluster and partition the distribution network. In addition, according to the partitioning results, a bilevel co-ordination planning model for distributed photovoltaic storage was developed. The upper level aimed to minimize the annual comprehensive cost for which the decision variables are the photovoltaic capacity, energy storage capacity, and power of each partition. The lower level aimed to minimize system network losses, and the decision variables for this are the photovoltaic installation capacity and energy storage installation location of the intrapartition node. Finally, we adopted the particle swarm algorithm with bilevel iterative adaptive weight to solve the planning model, and the simulation was carried out on the distribution system of the IEEE33 nodes. The results show the rationality of the model and the effectiveness of the solution method.

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Special Issue on “Modeling, Analysis and Control Processes of New Energy Power Systems”

Abstract: In recent years, global climate change, environmental pollution, and energy shortage have become increasingly serious [...]

Cited by 2 publications

References 17 publications

Research on Control Strategy of Polar Unmanned Vehicle Wind Power Generation System

Research on Control Strategy of Polar Unmanned Vehicle Wind Power Generation System

Planning Strategies for Distributed PV-Storage Using a Distribution Network Based on Load Time Sequence Characteristics Partitioning

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