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2021 | OriginalPaper | Buchkapitel

24. An Efficient Optimization Approach for Coordination of Network Reconfiguration and PV Generation on Performance Improvement of Distribution System

verfasst von : Sachin Sharma, Khaleequr Rehman Niazi, Kusum Verma, Tanuj Rawat

Erschienen in: Control Applications in Modern Power System

Verlag: Springer Singapore

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Abstract

This paper investigated an effective water evaporation optimization algorithm based approach to improve the effectiveness of the distribution network. The optimal accommodation of multiple photovoltaic (PVs) generation source and its coordination with network reconfiguration is used to minimize the network energy loss. The coordination of PVs and dynamic network reconfiguration of the distribution network is a complicated optimization problem. The problem of dynamic reconfiguration of the distribution network is mixed-integer, non-differentiable, and of an extremely complex combinatorial nature. Besides, the constraint of radiality usually rises the complexity of the evolutionary meta-heuristic optimization algorithms. The developed methodology is based on the foundation of graph theory, which limits the search space and also prevents repetitive mesh checks. The developed methodology is proficient and ensures that only possible radial topologies are generated. This coordinated operational planning is subjected to the distribution system constraints such as limits of feeder current, limits of node voltage, and power balance, etc. The suggested methodology is tested on the IEEE radial 33-bus distribution system. The results show that optimal accommodation of multiple PVs and its coordination with dynamic network reconfiguration reduces the network loss to 20.24% and also maintains node voltage within the specified limits.

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Metadaten
Titel
An Efficient Optimization Approach for Coordination of Network Reconfiguration and PV Generation on Performance Improvement of Distribution System
verfasst von
Sachin Sharma
Khaleequr Rehman Niazi
Kusum Verma
Tanuj Rawat
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8815-0_24