Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8407
Title: Effect of demand side management on the operation of pv-integrated distribution systems
Authors: Sa’ed, Jaser A. 
Wari, Zakariya 
Abughazaleh, Fadi 
Dawud, Jafar 
Favuzza, Salvatore 
Zizzo, Gaetano 
Keywords: Distributed generation of electric power;Electric power systems;Electric power transmission - Data processing;conservation voltage reduction;Demand-side management (Electric utilities);Microgrids (Smart power grids);Distributed generation of electric power;Electric power-plants - Load
Issue Date: 2020
Publisher: Applied Sciences (Switzerland)
Abstract: In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate in the reduction of plant generation and reciprocally to the comprehensive cost. The aim of this paper is to investigate the e ects caused by the implementation of DSM on the operation of PV-integrated distribution systems. The algorithms of CVR, DLC and the combination of CVR and DLC were implemented using OpenDSS and MATLAB. The e ectiveness of the aforementioned schemes was verified on IEEE 30-Bus test system. Various possible integration scenarios between Photovoltaic (PV) and DSM schemes are illustrated. The optimal integration of such schemes constraining the reduction of energy consumed by the user and utility is presented. The results show that the implemented DSM algorithms provide a noticeable reduction in energy losses and reduction in consumed energy.
URI: http://hdl.handle.net/20.500.11889/8407
DOI: 10.3390/app10217551
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