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A Novel Framework to Determine the Impact of Time Varying Load Models on Wind DG Planning

Ali Najah Ahmed, Muhammad Faisal Nadeem Khan, Irfan Khan, Hani Alquhayz, Muhammad Adnan Khan, Arooj Tariq Kiani

2021IEEE Access32 citationsDOIOpen Access PDF

Abstract

Distributed Generation (DG) based on Renewable Energy Sources (RES) are considered as an effective and economical technology for the advancement of an Electric Power System (EPS) to fulfill the load demand. Mostly, studies pertaining to DG planning are performed while considering constant load demand and DG generation. However, these considerations may provide misleading and inconsistent values for loss reduction, voltage profile, power quality, and other operational parameters. Therefore, this paper proposes a novel framework to determine the impact of different Time Varying Voltage Dependent (TVVD) load models on wind DG planning study. Firstly, wind DG optimal allocation is performed using Salp Swarm Algorithm (SSA) for different TVVD load models. Afterwards, impact of different TVVD load models on wind DG planning is investigated. Comparative evaluation of various impact indices, real and reactive power (losses and intakes), penetration level, and apparent power support provided due to integration of wind DG are discussed for various TVVD loads. The analysis of results indicates that TVVD loads have a significant impact on performance of distribution system and DG planning studies.

Topics & Concepts

Wind powerRenewable energyComputer scienceDistributed generationElectric power systemAC powerReliability engineeringVoltagePower (physics)Automotive engineeringEngineeringElectrical engineeringQuantum mechanicsPhysicsOptimal Power Flow DistributionMicrogrid Control and OptimizationElectric Power System Optimization