An efficient scenario-based stochastic programming method for optimal scheduling of CHP-PEMFC, WT, PV and hydrogen storage units in micro grids

Nowadays, renewable energy resources are increasingly used to supply electrical loads in micro grids, which these units should be scheduled coordinately. In this paper a stochastic model for coordinated scheduling of renewable and thermal units is proposed. Understudied units consists of fuel cell u...

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Vydané v:Renewable energy Ročník 130; s. 1049 - 1066
Hlavní autori: Bornapour, Mosayeb, Hooshmand, Rahmat-Allah, Parastegari, Moein
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.01.2019
Predmet:
algorithms
Deregulated electricity market
fuel cells
heat
hydrogen
Hydrogen storage strategy
income
market prices
Micro grid
Optimal coordinated scheduling
Proton exchange membrane fuel cell- combined heat and power
Renewable energy sources
solar radiation
stochastic processes
system optimization
uncertainty
wind speed
Renewable energy sources
Proton exchange membrane fuel cell- combined heat and power
Micro grid
Hydrogen storage strategy
Optimal coordinated scheduling
Deregulated electricity market
ISSN:0960-1481, 1879-0682
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Shrnutí:Nowadays, renewable energy resources are increasingly used to supply electrical loads in micro grids, which these units should be scheduled coordinately. In this paper a stochastic model for coordinated scheduling of renewable and thermal units is proposed. Understudied units consists of fuel cell units with proton exchange membrane which generate heat and power simultaneously (PEMFC-CHP), wind and photovoltaic units. Moreover, the strategy of storing hydrogen is also considered for PEMFC-CHP units. Uncertainties of wind speed, solar radiation and market prices are considered using scenario based method. In the proposed stochastic programming problem, the strategy of storing hydrogen is considered by a mixed integer nonlinear programming (MINP) problem. The uncertainties of parameters convert the MINP problem to a stochastic MINP one. Moreover, optimal coordinated scheduling of renewable energy resources and thermal units in micro-grids improve the value of the objective function. To solve this problem, Modified Teaching-Learning-Based Optimization (MTLBO) algorithm is used and its performance is evaluated on a modified 33 bus distribution network. Simulation results represent that by using MTLBO method, the revenue increases more than 5 percentages in comparison with other optimization methods. In addition, considering CHP increases total profit of the system more than 15%. •Stochastic model is proposed for coordinated scheduling of renewable energy sources.•The effect of combined heat and power is considered.•Hydrogen storage is considered for fuel cells.•Maximizing profits of micro grid is considered as objective function.•Considering the uncertainties of problem lead to profit increasing.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2018.06.113