研究目的
Investigating the reliability of a solar energy generating system with inverters in series under common cause failure.
研究成果
The study demonstrates that the mean time to the first failure is related to different initial states, and the steady-state availability is unrelated to arbitrary initial state of the system. The proposed method is more concise and efficient to obtain the explicit form solutions of the system, reducing data expansion in the process for a large-scale solar energy generating system.
研究不足
The algorithm presented in this paper requires much more computational times when the number of inverters (n) is a sufficiently large integer.
1：Experimental Design and Method Selection:
A Markov model is proposed to imitate a solar energy generating system with inverters in series, unreliable by-pass change-over switches, and common cause failure. The renewal point technique and the Semi-Markov process theory are employed to build the quantitative reliability models of the system.
2：Sample Selection and Data Sources:
The study considers a solar energy generating system with 6 inverters in series configuration, each with a by-pass change-over switch, subject to failure in the process of operating.
3：List of Experimental Equipment and Materials:
The system includes photovoltaic (PV) modules, inverters, and some balance-of-system components. The lifetimes and repair times of IGBTs are all exponentially distributed.
4：Experimental Procedures and Operational Workflow:
The system's reliability is analyzed under various failure rates and repair rates, considering common cause failure scenarios.
5：Data Analysis Methods:
A new algorithm is developed to obtain the explicit form solution of reliability indices, including mean time to the first failure and availability.
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