Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/376
Title: Voltage sensitivity-based demand-side management to reduce voltage unbalance in islanded microgrids
Authors: Çimen, Halil
Çetinkaya, Nurettin
Keywords: Power Grids
Power Distribution Control
Distributed Power Generation
Voltage Control
Power Supply Quality
Photovoltaic Power Systems
Electric Vehicles
Power Distribution Faults
Voltage Sensitivity-Based Demand-Side Management
Islanded Microgrids
Distribution Grid
Demand Management
Dynamic Grid
Advanced Control System
Islanded Mg
Single-Phase Roof-Mounted Pv Plants
Dsm
Voltage Unbalance Problem
Thermostatically Controlled Loads
Controllable Loads
Control Algorithm
Voltage Sensitivity Matrix
Controlled Tcls
Compensation
Loads
Publisher: INST ENGINEERING TECHNOLOGY-IET
Abstract: Microgrids (MG) provide advantages such as providing energy supply to areas far from the distribution grid, efficient use of resources by supporting demand management and having a more dynamic grid. However, if an advanced control system is not implemented in the islanded MG, problems of power quality may arise. One of these problems is the voltage unbalance. Increasing the number of single-phase roof-mounted PV plants and the number of electric vehicle charging stations in recent times may negatively affect voltage unbalance. One of the methods used to mitigate this problem is the demand-side management (DSM). Here, a solution method based on DSM is presented for the voltage unbalance problem that may occur in an islanded MG. Thermostatically controlled loads, which are often used for DSM, are preferred as controllable loads. A new and novel control algorithm based on voltage sensitivity have been developed. Effects of TCLs on different buses and phases are determined with voltage sensitivity matrix including neutral components. The proposed control algorithm reduces successfully both the voltage unbalance factor and the number of controlled TCLs. The algorithm was tested with the PSCAD/EMTDC analysis software.
URI: https://doi.org/10.1049/iet-rpg.2018.5603
https://hdl.handle.net/20.500.13091/376
ISSN: 1752-1416
1752-1424
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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