A Mathematical Model for Stability Analysis of a DC Distribution System for Power System Integration of Plug-In Electric Vehicles

DC power distribution systems will play an important role in the future urban power distribution system, while the charging and discharging requirements of electric vehicles have a great impact on the voltage stability of the DC power distribution systems. A robust control method based on H∞ loop shaping method is proposed to suppress the effect of uncertain integration on voltage stability of DC distribution system. The results of frequency domain analysis and time domain simulation show that the proposed robust controller can effectively suppress the DC bus voltage oscillation caused by the uncertain integration of electric vehicle, and the robustness is strong.

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Stability analysis of a phase-shifted full-bridge circuit for electric vehicles based on adaptive neural fuzzy PID control

Scientific Reports ◽

10.1038/s41598-021-99559-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yan Liu ◽

Yan Huang ◽

He Zhang ◽

Qiang Huang

Keyword(s):

Mathematical Model ◽

Stability Analysis ◽

Electric Vehicles ◽

Pid Control ◽

Closed Loop ◽

Loop System ◽

Small Signal ◽

Fuzzy Pid ◽

Closed Loop System ◽

Neural Fuzzy

AbstractIn the paper, adaptive neural fuzzy (ANF) PID control is applied on the stability analysis of phase-shifted full-bridge (PSFB) zero-voltage switch (ZVS) circuit, which is used in battery chargers of electric vehicles. At first, the small-signal mathematical model of the circuit is constructed. Then, by fuzzing the parameters of PID, a closed-loop system of the small-signal mathematical model is established. Further, after training samples collected from the fuzzy PID system by adaptive neural algorithm, an ANF PID controller is utilized to build a closed-loop system. Finally, the characteristics of stability, overshoot and response speed of the mathematical model and circuit model systems are analyzed. According to the simulation results of PSFB ZVS circuit, the three control strategies have certain optimizations in overshoot and adjustment time. Among them, the optimization effect of PID control in closed-loop system is the weakest. From the results of small-signal model and circuit model, the ANF PID system has highest optimization. Experiments demonstrate that the ANF PID system gives satisfactory control performance and meets the expectation of optimization design.

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Voltage Stability Analysis and Improvement of Power System With Increased SCIG-based Wind System Integration

2020 IEEE PES/IAS PowerAfrica ◽

10.1109/powerafrica49420.2020.9219803 ◽

2020 ◽

Author(s):

Bukola Babatunde Adetokun ◽

Christopher Maina Muriithi ◽

Joseph Olorunfemi Ojo

Keyword(s):

Stability Analysis ◽

Power System ◽

System Integration ◽

Voltage Stability ◽

Wind System

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Optimal location of battery swap stations for electric vehicles

Scientia et technica ◽

10.22517/23447214.21481 ◽

2019 ◽

Vol 24 (3) ◽

pp. 377-384

Author(s):

Ramón Alfonso Gallego Rendón ◽

Ricardo Alberto Hincapié Isaza ◽

Fabio Andrés Osorio Cruz

Keyword(s):

Mathematical Model ◽

Evolutionary Algorithm ◽

Electric Vehicles ◽

Distribution System ◽

Distribution Networks ◽

Optimal Location ◽

Optimal Sizing ◽

Operational Characteristics ◽

The Mathematical Model

In this paper, a methodology that allows to determine the location and optimal sizing of battery swap stations for electric vehicles in distribution networks is proposed, which objective is to minimize investment costs and technical losses of the network. The set of constraints is associated with technical and operational characteristics of the system. To solve the mathematical model, an evolutionary algorithm is used. To verify the efficiency of the methodology, a Colombian distribution system is used, where the obtained results validate what is proposed in this work.

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