Energy Management System Optimization for GridConnected Microgrids in Presence of Energy Storage

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dc.contributor.advisor	Reza Sirjani, Reza (Supervisor)
dc.contributor.author	Tabrizi, Ariyan Roshany
dc.date.accessioned	2024-10-11T06:21:01Z
dc.date.available	2024-10-11T06:21:01Z
dc.date.issued	2022-07
dc.date.submitted	2022-07
dc.identifier.citation	Tabrizi, Ariyan Roshany. (2022). Energy Management System Optimization for GridConnected Microgrids in Presence of Energy Storage. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Electrical and Electronic Engineering, Famagusta: North Cyprus.	en_US
dc.identifier.uri	http://hdl.handle.net/11129/6183
dc.description	Master of Science in Electrical and Electronic Engineering. Institute of Graduate Studies and Research. Thesis (M.S.) - Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering, 2022. Supervisor: Assoc. Prof. Dr. Reza Sirjani.	en_US
dc.description.abstract	The dramatic growth in energy consumption and the governments' concern about the increase in greenhouse harmful emissions caused by fossil fuel power plants which is the main reason for global warming in recent years leads to more investments in renewable energies. One of the best ways of controlling the renewable energy resources (RESs) in an economic and reliable approach is to manage them in microgrids (MGs). In this study particle swarm optimization (PSO) and genetic algorithm (GA) is used to obtain the optimal economic dispatch (ED) in a grid connected MG in presence of photovoltaic (PV) solar energy, wind turbine (WT), microturbines (MTs), diesel generators, and energy storage system (ESS). The customers can play a major role in the energy management system by applying the demand response (DR) program which is considered in combination with other objectives in this research, power flow analysis is also investigated to check the resulted voltage level.	en_US
dc.description.abstract	ÖZ: Enerji tüketimindeki çarpıcı artış ve hükümetlerin son yıllarda küresel ısınmanın temel nedeni olan fosil yakıtlı santrallerin neden olduğu sera gazı emisyonlarındaki artıştan endişe duyması, yenilenebilir enerjilere daha fazla yatırım yapılmasına neden oluyor. Yenilenebilir enerji kaynaklarını (RES) ekonomik ve güvenilir bir yaklaşımla kontrol etmenin en iyi yollarından biri, onları mikro şebekelerde (MG'ler) yönetmektir. Bu çalışmada, fotovoltaik (PV) güneş enerjisi, rüzgar türbini (WT), mikro türbinler (MTs), dizel jeneratörler ve enerji depolama sistemi (ESS) varlığında şebekeye bağlı bir mikro şebekede (MG) optimal ekonomik dağıtımı (ED) elde etmek için parçacık sürü optimizasyonu (PSO) ve genetik algoritma (GA) kullanılmıştır. Müşteriler, bu araştırmada diğer amaçlarla birlikte ele alınan talep yanıt (DR) programını uygulayarak enerji yönetim sisteminde önemli bir rol oynayabilir, elde edilen voltaj seviyesini kontrol etmek için güç akışı analizi de araştırılır.	en_US
dc.language.iso	eng	en_US
dc.publisher	Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Electrical and Electronic Engineering Department	en_US
dc.subject	Electric power systems--Wind Energy	en_US
dc.subject	Microgrid, Distributed Generation, Economic Dispatch, Power Flow, Photovoltaic, Wind Turbine, Energy Storage, Demand Response, Energy Management System	en_US
dc.title	Energy Management System Optimization for GridConnected Microgrids in Presence of Energy Storage	en_US
dc.type	masterThesis	en_US
dc.contributor.department	Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering	en_US