Abstract

This paper proposes an adaptive droop based virtual slack (ADVS) control for multiple distributed generations (DGs) to improve voltage stability of a practical DC distribution system. Although there have been many researches for optimal sizes of multiple DGs, their solutions are valid only in the particular operating point. Additionally, a previous study proposed a voltage control based optimal operation method, its performance depends on measurement accuracy in practice. The proposed ADVS control operates the system based on the current sensitivities between the DGs and loads, so that it can regulate the system voltages without a large computational effort. This is effective even if measurements are noisy and biased. All DGs contribute to voltage regulation by current control even though they do not directly control voltages. As an additional effect, they effectively share the load. To verify the proposed method, the DC system is modeled based on the real distribution system of the Do-gok area in Seoul, Korea. Then, the Levenberg-Marquardt algorithm determines its operation point. The proposed method is verified based on the electromagnetic transient (EMT) simulation with random loads.

Highlights

  • Electric power systems are facing huge challenges of being environment-friendly worldwide

  • This problem can be alleviated by introducing DC power systems that minimize the numbers of the power conversions

  • This paper introduces the adaptive droop based virtual slack (ADVS) control of multiple distributed generations (DGs), which than that in current

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Summary

Introduction

Electric power systems are facing huge challenges of being environment-friendly worldwide. Capacitor banks that inject reactive powers usually restore the voltage drops in the AC systems. The DGs can improve the voltage profile by injecting reactive powers. Makes multiple management [10,11,12], and power conversion [13,14,15,16],toDC distribution test-bed [17,18], and optimal properly share the loadscable as well as instantly respond the load variations, the DGs must control. This paper introduces the adaptive droop based virtual slack (ADVS) control of multiple DGs, which than that in current. This is because resistance of the transmission line is generally very small.

Voltage
Current Flow Analysis
Optimal Current Flow with Constraints
Virtual Slack Control Based on Adaptive Droop
On-Line Conductance Matrix Estimation Using Kalman-Filter Algorithm
Virtual Slack Control Based on Current Sensitivity
Sensitivity to Errors Caused by Biased Measurement
Performance of Virtual Slack Control
Voltages of physical andand virtual slack distributed generations
Operation
Operation by OCF and Virtual Slack Control
Findings
Conclusions
Full Text
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