Verification by simulation of power management strategies for 4Q-load

This paper presents the detailed modeling of various components of a grid connected hybrid energy system (HES) consisting of a photovoltaic (PV) system, a solid oxide fuel cell (SOFC), an electrolyzer and a hydrogen storage tank with a power flow controller. Also, a valve controlled by the proposed controller decides how much amount of fuel is consumed by fuel cell according to the load demand. In this paper fuel cell is used instead of battery bank because fuel cell is free from pollution. The control and power management strategies are also developed. When the PV power is sufficient then it can fulfill the load demand as well as feeds the extra power to the electrolyzer. By using the electrolyzer, the hydrogen is generated from the water and stored in storage tank and this hydrogen act as a fuel to SOFC. If the availability of the power from the PV system cannot fulfill the load demand, then the fuel cell fulfills the required load demand. The SOFC takes required amount of hydrogen as fuel, which is controlled by the PID controller through a valve. Effectiveness of this technology is verified by the help of computer simulations in MATLAB/SIMULINK environment under various loading conditions and promising results are obtained.

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Predictive power management strategies for stand-alone hydrogen systems: Lab-scale validation

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2015.06.081 ◽

2015 ◽

Vol 40 (32) ◽

pp. 9907-9916 ◽

Cited By ~ 23

Author(s):

Adel Brka ◽

Ganesh Kothapalli ◽

Yasir M. Al-Abdeli

Keyword(s):

Power Management ◽

Predictive Power ◽

Scale Validation ◽

Management Strategies ◽

Hydrogen Systems

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A new system configuration design and power management strategies for a multi-source hybrid truck

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651818773650 ◽

2018 ◽

Vol 232 (8) ◽

pp. 1053-1062 ◽

Cited By ~ 2

Author(s):

Zhenhe Li ◽

Yanjun Huang ◽

Hong Wang

Keyword(s):

Fuel Consumption ◽

Power Management ◽

Hybrid System ◽

Dynamic Models ◽

Control Strategies ◽

Management Strategies ◽

Operating Conditions ◽

System Structure ◽

System Configuration ◽

Power Management Strategy

In this article, a novel system configuration with multiple energy sources is proposed for a hybrid truck in order to reduce fuel consumption and overcome the drawbacks of using a single energy source. The energy-saving characteristics of the hybrid system can be displayed after analyzing its system structure and performances. In order to validate the advantages of this presented system, the dynamic models of the system components are established in a MATLAB/Simulink environment, and initial and improved power management strategies with rule-based algorithms are developed. Then, the hybrid system is simulated based on the models and control strategies over the urban dynamometer driving schedule driving cycle. The simulation results show that the fuel consumption employing the initial power management strategy is 12.49 L/100 km, and there is a significant decrease with around 13.6% based on the improved strategy. The results also verify that the better fuel economy can be achieved by the proposed multi-source system compared to the counterparts under the same operating conditions.

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