研究目的
To optimize the system lifetime cost of a standalone photovoltaic system with battery-ultracapacitor hybrid energy storage device (HESD) using an improved version of Particle Swarm Optimization (PSO), Self-Organizing Hierarchal PSO.
研究成果
The proposed algorithm using SOH-PSO for optimal sizing of battery-ultracapacitor HESD in a standalone photovoltaic system demonstrates manifold benefits for power systems, especially renewable energy systems. The optimal system lifetime cost is found to be 9895Euros for the test system. Future work may include applying various types of meta-heuristic techniques to the test system for comparison and considering larger standalone renewable energy systems with HESDs.
研究不足
The study assumes the O&M cost is relatively low and does not include the cost of the balance of system (BoS) items like cables, converters, etc. The battery capacity has not been adjusted to take the impact of Peukert’s law into account. The temperature adjustment in calculation of PV panel power output has not been considered.
1:Experimental Design and Method Selection:
The study uses a variant of the meta-heuristic technique, particle swarm optimization (PSO), specifically Self-Organizing Hierarchal PSO, to address the optimization problem.
2:Sample Selection and Data Sources:
A standalone photovoltaic system at a site location in Northern Europe is considered. The system includes PV panels, VRLA batteries, and ultracapacitors.
3:List of Experimental Equipment and Materials:
PV panel of 50W rating, VRLA battery of 18Ah capacity and 12V rating, and Ultracapacitor of 600F capacitance and 6V minimum voltage rating.
4:Experimental Procedures and Operational Workflow:
The algorithm is implemented in MATLAB R2009b on a Intel(R)Atom(TM),
5:60GHz,1GB RAM Windows OS computer. A population size of 20 and a maximum number of iterations of 1000 is considered. Data Analysis Methods:
The program is run independently 20 times. The values of the decision variables corresponding to the best and worst fitness values are found out and rounded off to the nearest integer.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容