孙春竹, 杨晋吉. 基于概率模型检测的微电网的形式化验证[J]. 华南师范大学学报(自然科学版), 2018, 50(2): 124-128.
引用本文: 孙春竹, 杨晋吉. 基于概率模型检测的微电网的形式化验证[J]. 华南师范大学学报(自然科学版), 2018, 50(2): 124-128.
Formal Verification of Microgrid Based on Probabilistic Model Checking[J]. Journal of South China Normal University (Natural Science Edition), 2018, 50(2): 124-128.
Citation: Formal Verification of Microgrid Based on Probabilistic Model Checking[J]. Journal of South China Normal University (Natural Science Edition), 2018, 50(2): 124-128.

基于概率模型检测的微电网的形式化验证

Formal Verification of Microgrid Based on Probabilistic Model Checking

  • 摘要: 通过概率模型检测的方法对微电网电源系统建立离散时间马尔可夫链模型,在系统后续的状态迁移中加入了故障率,类比云平台弹性计算功能,添加了另一个分布式电源,并验证其对系统进程的影响,用概率计算树逻辑对微电网电源系统进行描述,并对系统的负荷成本、经济成本以及状态迁移数进行定量分析. 验证结果表明:分布式电源间故障率对系统的收益和消耗有不同程度的影响,加上云平台的弹性计算思想在微电网上的灵活运用,可以提高微电网的性能以及生产效益,对实际生产和运用有极大的借鉴意义.

     

    Abstract: A discrete time Markov chain model for the system by probabilistic model checking is established in this paper, and the failure rate is added to the subsequent state migration of the system. Compared with cloud platform flexible computing function, another distributed power is added in this model to verify its impact on the system process. The model describes the attribute of the system by probabilistic computation tree logic, and verifies the load-cost, economic cost and the number of state migration of the system quantitatively. The experimental results show that the failure rate of the distributed power-supply in microgrid has different effects on the systems revenue and consumption. In addition, the flexible application of the elastic computing idea of cloud platform in microgrid can improve the performance and production benefit of microgrid, which is of great significance for practical production and application

     

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