Optimal stochastic scheduling of CHP-PEMFC, WT, PV units and hydrogen storage in reconfigurable micro grids considering reliability enhancement

•Stochastic model is proposed for coordinated scheduling of renewable energy sources.•The effect of combined heat and power is considered.•Uncertainties of wind speed, solar radiation and electricity market price are considered.•Profit maximization, emission and AENS minimization are considered as o...

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Bibliographic Details
Published in:Energy conversion and management Vol. 150; pp. 725 - 741
Main Authors: Bornapour, Mosayeb, Hooshmand, Rahmat-Allah, Khodabakhshian, Amin, Parastegari, Moein
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 15.10.2017
Elsevier Science Ltd
Subjects:
Algorithms
Alternative energy sources
Cogeneration
Computer networks
Computer simulation
Data buses
Electric power grids
Emission analysis
energy
Energy resources
fuels
heat
Heat exchange
Heuristic methods
Hydrogen
Hydrogen storage
Hydrogen storage strategy
Irradiance
market prices
Markets
Mathematical models
Mixed integer
Multiple objective analysis
Nonlinear programming
Optimal scheduling problem
Optimization
Parameter uncertainty
Photovoltaic cells
Photovoltaics
Proton exchange membrane fuel cell-combined heat and power
Proton exchange membrane fuel cells
Reliability
Reliability enhancement
Renewable energy sources
Renewable resources
Resource scheduling
Solar cells
solar radiation
Stochastic models
Turbines
uncertainty
Wind power
Wind speed
wind turbines
Optimal scheduling problem
Renewable energy sources
Hydrogen storage strategy
Reliability enhancement
Proton exchange membrane fuel cell-combined heat and power
ISSN:0196-8904, 1879-2227
Online Access:Get full text
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Summary:•Stochastic model is proposed for coordinated scheduling of renewable energy sources.•The effect of combined heat and power is considered.•Uncertainties of wind speed, solar radiation and electricity market price are considered.•Profit maximization, emission and AENS minimization are considered as objective functions.•Modified firefly algorithm is employed to solve the problem. Nowadays the operation of renewable energy sources and combined heat and power (CHP) units is increased in micro grids; therefore, to reach optimal performance, optimal scheduling of these units is required. In this regard, in this paper a micro grid consisting of proton exchange membrane fuel cell-combined heat and power (PEMFC-CHP), wind turbines (WT) and photovoltaic (PV) units, is modeled to determine the optimal scheduling state of these units by considering uncertain behavior of renewable energy resources. For this purpose, a scenario-based method is used for modeling the uncertainties of electrical market price, the wind speed, and solar irradiance. It should be noted that the hydrogen storage strategy is also applied in this study for PEMFC-CHP units. Market profit, total emission production, and average energy not supplied (AENS) are the objective functions considered in this paper simultaneously. Consideration of the above-mentioned objective functions converts the proposed problem to a mixed integer nonlinear programming. To solve this problem, a multi-objective firefly algorithm is used. The uncertainties of parameters convert the mixed integer nonlinear programming problem to a stochastic mixed integer nonlinear programming problem. Moreover, optimal coordinated scheduling of renewable energy resources and thermal units in micro-grids improve the value of the objective functions. Simulation results obtained from a modified 33-bus distributed network asa micro grid illustrates the effectiveness of the proposed method.
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2017.08.041