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Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag

Ying Wang, Hao Luo, Xianyong Xiao

2021IEEE Transactions on Power Delivery28 citationsDOI

Abstract

The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users.

Topics & Concepts

Voltage sagTrippingVoltageDistributed generationComputer scienceJoint (building)PlannerControl theory (sociology)EngineeringElectrical engineeringPower qualityControl (management)Circuit breakerStructural engineeringRenewable energyArtificial intelligenceProgramming languageOptimal Power Flow DistributionMicrogrid Control and OptimizationPower System Optimization and Stability
Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag | Litcius