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http://hdl.handle.net/11129/6183
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Title: | Energy Management System Optimization for GridConnected Microgrids in Presence of Energy Storage |
Authors: | Reza Sirjani, Reza (Supervisor) Tabrizi, Ariyan Roshany Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering |
Keywords: | Electrical and Electronic Engineering Department Electric power systems--Wind Energy Microgrid, Distributed Generation, Economic Dispatch, Power Flow, Photovoltaic, Wind Turbine, Energy Storage, Demand Response, Energy Management System |
Issue Date: | Jul-2022 |
Publisher: | Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) |
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. |
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. 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. |
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. |
URI: | http://hdl.handle.net/11129/6183 |
Appears in Collections: | Theses (Master's and Ph.D) – Electrical and Electronic Engineering
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