A distributed network‐based economic model predictive control for networked smart energy systems considering communication network constraints

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Generally, the modern networked energy systems are constructed from some coupled sub-systems interconnected via their states and share their information through a communication network featuring time delays. This article suggests an efficient multi-agent based cooperative-distributed networked economic model predictive control scheme for energy consumption optimisation and reducing the cost of consumed electricity in network-based smart energy systems considering communication network delays. In this regard, a buffer-based moving horizon strategy with estimator is suggested to estimate the own states of every sub-system and the coupled states, that is, the states in which their information exchange among sub-systems and their values are not accessible due to communication time delays. Moreover, the boundedness of the estimation error as well as the stability of the closed-loop system are established. The usability and proficiency of the suggested scheme are proved by applying the developed approach on two case studies.