Renewable energy utilization in demand-side energy management system based on linear programming optimization algorithm
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Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Demand-side management (DSM) is an effective strategy in smart grid technology to
manage energy demand and promoting the efficient use of energy by regulating appliance
scheduling and regularly monitoring energy consumption. By integrating DSM into
residential energy management, consumers can be empowered to manage their energy
consumption and reduce peak demand, which in turn reduces the need for expensive new
production and transmission infrastructure. This approach also helps to reduce carbon
emissions and enhance grid reliability. To further enhance DSM, optimization techniques
can be used to manage large-scale appliances with varying power ratings. By modelling the
energy system as a set of linear equations, these algorithms can determine the optimal use of
available resources and minimize waste. Linear programming optimization algorithms are a
key component of these systems in addition, optimization system based on forecasted cost,
power, and energy. By analysing this data, the system can predict when energy prices will
be high or low and adjust energy consumption accordingly. This achieved by suggested more
than one scenario to test system reliability and used MATLAB/Simulink to simulate the
proposed system taking into account various factors such as weather conditions, energy
demand, and pricing trends. Compared to other methods using various optimization
algorithms, the suggested approach used for lowering electrical energy costs in a microgrid
system while maintaining their regular load and operating hours. By minimizing the energy cost of the community, the algorithm can determine the optimal
energy consumption pattern that meets the community's energy needs while minimizing
costs. Efficient DSM optimization algorithms can significantly enhance the smart grid's
efficiency while reducing electricity costsfor consumers. Ultimately, the integration of DSM
optimization algorithms can help to achieve a more sustainable and cost-effective energy
future.
Açıklama
Anahtar Kelimeler
Demand-Side Management, Linear Programming Algorithms, Optimization, Environmental Impact
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Almashhadani, M. K. H. (2023). Renewable energy utilization in demand-side energy management system based on linear programming optimization algorithm. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
