Optimal battery and fuel cell operation for energy management strategy in MG

Jabir, Muhammad; Mokhlis, Hazlie; Muhammad, Munir Azam; Illias, Hazlee Azil

doi:10.1049/iet-gtd.2018.6755

Cited by 16 publications

(9 citation statements)

References 22 publications

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“…FCs differ from batteries in their longer operating times and because they need a continuous source of fuel and oxygen to withstand the chemical reaction. The FC cost (C FC ) depends on the active output power (P FC ) and efficiency (η FC ) as given in (3) [49].…”

Section: Fuel Cell (Fc)mentioning

confidence: 99%

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

et al. 2020

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This paper presents the economic analysis and optimal energy management of a grid-connected MG that comprises renewable energy resources and different battery storage technologies with different characteristics such as initial charge, depth of discharge, and the number of charging/discharging cycles to minimize the total operating cost of the system by maximizing the benefits of BSS, minimizing the investment and replacement cost of BSS, and minimizing the operation and maintenance cost of DGs. Several constraints are considered, such as the output power limits of the distributed generators, the limits of power imported from or exported to the grid, load balance, and other sets of battery storage constraints. The general algebraic modeling system (GAMS) is used to solve the deterministic optimization problem. Second, stochastic optimization is used to solve the deterministic problem with market price uncertainty. Third, robust optimization using the information gap decision theory is presented to model the electric load uncertainty. The validity and effectiveness of the proposed solution are explained by comparing the results obtained by GAMS to the results obtained by other optimization techniques presented in the literature.

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Section: Fuel Cell (Fc)mentioning

confidence: 99%

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

et al. 2020

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“…Simulation parameters are given in Table 3. Derivative droop coefficients are adapted according to (15) and (16). The Sisotool from MATLAB/Simulink has been used to tune and design the PI control parameters for both loops.…”

Section: Simulationmentioning

confidence: 99%

“…According to (13) in adaptive droop control method, the output voltages of both inverters are decreased in comparison with the conventional droop control. The output voltage of inverter 1 is changed from 330 to 315 V and output voltage of inverter 2 is changed from 335 to 313 V. According to (16) and impedance line of inverters, inverter1 is closer to the load. Therefore, the output voltage of inverter1 decreases less.…”

Section: Simulationmentioning

confidence: 99%

Voltage and frequency regulation in an islanded microgrid with PEM fuel cell based on a fuzzy logic voltage control and adaptive droop control

Roudbari

Beheshti

Rakhtala

2020

IET Power Electronics

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Nowadays, the demand for electrical energy is increasing, and conventional power systems will face major problems in the future if they cannot generate extra demand for electrical energy. One of the best solutions for solving extra demand for electrical energy is the use of renewable resources to produce energy. The main aim of this study is designing and controlling the microgrid voltage and frequency. This study proposed the voltage and frequency control of an islanded microgrid based on fuzzy logic controller. The system considered for this study consists of Proton-Exchange Membrane Fuel Cell (PEMFC) that connected to parallel inverters to convert DC voltage to AC voltage. The control structure is based on adaptive droop control and fuzzy voltage control loop. Also, the proposed structure controls active and reactive powers and decreases power losses of the microgrid. Simulation results are presented to show the effectiveness and robustness of the proposed control structure over the conventional proportional-integral controller. It is shown that the proposed controller has good transient response under the output voltage PEMFC variation and load changes as disturbance.

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“…The intelligent energy management system (IEMS) is a control system which monitors the voltage, current, and output of each device and the system state in real time and enables the system to be operated reliably. It adjusts the load of the load bank according to the load pattern in real time and allows the different devices to be synchronized [42][43][44][45][46].…”

Section: Energy Storage System (Ess)mentioning

confidence: 99%

Fuel Consumption and CO2 Emission Reductions of Ships Powered by a Fuel-Cell-Based Hybrid Power Source

Roh

Kim

Jeon

et al. 2019

JMSE

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The need for technological development to reduce the impact of air pollution caused by ships has been strongly emphasized by many authorities, including the International Maritime Organization (IMO). This has encouraged research to develop an electric propulsion system using hydrogen fuel with the aim of reducing emissions from ships. This paper describes the test bed we constructed to compare our electric propulsion system with existing power sources. Our system uses hybrid power and a diesel engine generator with a combined capacity of 180 kW. To utilize scale-down methodology, the linear interpolation method is applied. The proposed hybrid power source consists of a molten carbonate fuel cell (MCFC), a battery, and a diesel generator, the capacities of which are 100 kW, 30 Kw, and 50 kW, respectively. The experiments we conducted on the test bed were based on the outcome of an analysis of the electrical power consumed in each operating mode considering different types of merchant ships employed in practice. The output, fuel consumption, and CO2 emission reduction rates of the hybrid and conventional power sources were compared based on the load scenarios created for each type of ship. The CO2 emissions of the hybrid system was compared with the case of the diesel generator alone operation for each load scenario, with an average of 70%~74%. This analysis confirmed the effectiveness of using a ship with a fuel-cell-based hybrid power source.

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Optimal battery and fuel cell operation for energy management strategy in MG

Cited by 16 publications

References 22 publications

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

Voltage and frequency regulation in an islanded microgrid with PEM fuel cell based on a fuzzy logic voltage control and adaptive droop control

Fuel Consumption and CO2 Emission Reductions of Ships Powered by a Fuel-Cell-Based Hybrid Power Source

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