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Impact of load models in energy management using combined approach of Volt–Var control and distributed generation

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Abstract

Volt–Var control (VVC) devices and distributed generation (DG) integration are widely adopted for energy management in the distribution system. VVC devices include optimal coordination among on-load tap changer (OLTC) transformers, voltage regulators (VRs), and shunt capacitors (SCs). In doing so, load modelling plays a significant role. This article proposes a grey wolf optimization (GWO) to determine VVC devices and DG settings under various load models. The main objective is to maximize the reduction in power losses, substation demand, and voltage deviation considering multiple equality and inequality constraints. The proposed scheme is applied and validated on the IEEE-69 node system under different cases. Four different cases have been studied: with OLTC, OLTC with SC, OLTC with DG, OLTC with SC, and DG. The outcomes are evaluated against recent heuristic techniques from the literature. The results exhibit a significant reduction in power loss, substation demand, and voltage deviation under various load models.

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All data generated or analysed during this study are included in this published article [and its supplementary information fles].

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  1. National Institute of Technology, Raipur, India

    Neha Smitha Lakra & Baidyanath Bag

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  1. Neha Smitha Lakra
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Lakra, N.S., Bag, B. Impact of load models in energy management using combined approach of Volt–Var control and distributed generation. Energy Syst (2023). https://doi.org/10.1007/s12667-023-00583-2

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