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Sustainable Energy Storage Management for a Power Plant-Transmission Station System with Hybrid Power Generation and Stochastic Electricity Demand
Author(s) -
Wakhid Ahmad Jauhari,
I Nyoman Pujawan,
Mokh Suef
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1096/1/012010
Subject(s) - stand alone power system , electricity generation , power station , electricity , pumped storage hydroelectricity , energy storage , distributed generation , environmental economics , automotive engineering , power (physics) , computer science , environmental science , process engineering , engineering , renewable energy , electrical engineering , economics , physics , quantum mechanics
This paper proposes an energy storage management for electrical energy supply chain system (EESCS) involving a power plant and a transmission station under carbon emission investigation. The transmission station faces stochastic electricity demand from household and uses a continuous review policy to control electrical energy storage. The power plant has two power generations, namely green power generation and regular power generation. The green power generation is cleaner than the regular one, thus it generates less emissions. Although the green power generation is more environmentally, however, its electricity production cost is more expensive than the regular one. A carbon tax is implemented in the investigated system to lessen the amount of emissions coming from electricity production. An efficient algorithm is developed to solve the problem and a numerical example is presented to show the applicability of the model and to explore the behaviour of the model.

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