Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads

Abstract At present, high penetration of photovoltaic (PV) systems on low voltage (LV) distribution systems is increasing worldwide because of several favourable conditions, such as government policies, decreasing cost of PV technologies, and environmental awareness. However, varying sunlight and th...

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Main Authors: Anuwat Chanhome, Surachai Chaitusaney
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:IET Renewable Power Generation
Subjects:
Online Access:https://doi.org/10.1049/rpg2.12144
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author Anuwat Chanhome
Surachai Chaitusaney
author_facet Anuwat Chanhome
Surachai Chaitusaney
author_sort Anuwat Chanhome
collection DOAJ
description Abstract At present, high penetration of photovoltaic (PV) systems on low voltage (LV) distribution systems is increasing worldwide because of several favourable conditions, such as government policies, decreasing cost of PV technologies, and environmental awareness. However, varying sunlight and three‐phase unbalanced load conditions can result in voltage violation, especially an overvoltage problem, and voltage unbalanced conditions that deteriorate the power quality. Therefore, disconnection of PV systems, especially on the downstream node, can occur due to the overvoltage protection of the PV system, which results in PV owners losing revenue from selling electricity. Moreover, some electrical appliances can be damaged from voltage unbalanced conditions. To support a high PV penetration and prevent these adverse impacts, this study applies a control strategy involving coordination between the Central Control Unit (CCU) and Local Control Functions (LCFs) of PV systems. The CCU applies the Adaptive Tabu Search (ATS) technique to search for the optimal LCF parameter setting of PV systems and adjusted this weekly. The optimization problem is the maximization of real power generation from all PV systems under varying (uncertain) sunlight and three‐phase unbalanced loads. MATLAB programming is used for the Newton–Raphson power flow simulation on a modified 19‐node distribution system.
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spelling doaj.art-0053fa5d771a45e8884aca215270cf9e2022-12-22T02:04:37ZengWileyIET Renewable Power Generation1752-14161752-14242021-07-0115102168218410.1049/rpg2.12144Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loadsAnuwat Chanhome0Surachai Chaitusaney1Smart Grid Research Unit Department of Electrical Engineering Chulalongkorn University Bangkok ThailandSmart Grid Research Unit Department of Electrical Engineering Chulalongkorn University Bangkok ThailandAbstract At present, high penetration of photovoltaic (PV) systems on low voltage (LV) distribution systems is increasing worldwide because of several favourable conditions, such as government policies, decreasing cost of PV technologies, and environmental awareness. However, varying sunlight and three‐phase unbalanced load conditions can result in voltage violation, especially an overvoltage problem, and voltage unbalanced conditions that deteriorate the power quality. Therefore, disconnection of PV systems, especially on the downstream node, can occur due to the overvoltage protection of the PV system, which results in PV owners losing revenue from selling electricity. Moreover, some electrical appliances can be damaged from voltage unbalanced conditions. To support a high PV penetration and prevent these adverse impacts, this study applies a control strategy involving coordination between the Central Control Unit (CCU) and Local Control Functions (LCFs) of PV systems. The CCU applies the Adaptive Tabu Search (ATS) technique to search for the optimal LCF parameter setting of PV systems and adjusted this weekly. The optimization problem is the maximization of real power generation from all PV systems under varying (uncertain) sunlight and three‐phase unbalanced loads. MATLAB programming is used for the Newton–Raphson power flow simulation on a modified 19‐node distribution system.https://doi.org/10.1049/rpg2.12144Solar power stations and photovoltaic power systemsOptimisation techniquesControl of electric power systemsOptimisation techniquesDistributed power generationDistribution networks
spellingShingle Anuwat Chanhome
Surachai Chaitusaney
Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
IET Renewable Power Generation
Solar power stations and photovoltaic power systems
Optimisation techniques
Control of electric power systems
Optimisation techniques
Distributed power generation
Distribution networks
title Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
title_full Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
title_fullStr Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
title_full_unstemmed Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
title_short Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads
title_sort coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three phase unbalanced loads
topic Solar power stations and photovoltaic power systems
Optimisation techniques
Control of electric power systems
Optimisation techniques
Distributed power generation
Distribution networks
url https://doi.org/10.1049/rpg2.12144
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