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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems (Paperback, 1st ed. 2022)
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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems (Paperback, 1st ed. 2022)
Series: Springer Theses
Expected to ship within 18 - 22 working days
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This book describes the development of innovative non-centralized
optimization-based control schemes to solve economic dispatch
problems of large-scale energy systems. Particularly, it focuses on
communication and cooperation processes of local controllers, which
are integral parts of such schemes. The economic dispatch problem,
which is formulated as a convex optimization problem with
edge-based coupling constraints, is solved by using methodologies
in distributed optimization over time-varying networks, together
with distributed model predictive control, and system partitioning
techniques. At first, the book describes two distributed
optimization methods, which are iterative and require the local
controllers to exchange information with each other at each
iteration. In turn, it shows that the sequence produced by these
methods converges to an optimal solution when some conditions,
which include how the controllers must communicate and cooperate,
are satisfied. Further, it proposes an information exchange
protocol to cope with possible communication link failures.
Finally, the proposed distributed optimization methods are extended
to the cases with random communication networks and asynchronous
updates. Overall, this book presents a set of improved predictive
control and distributed optimization methods, together with a
rigorous mathematical analysis of each proposed algorithms. It
describes a comprehensive approach to cope with communication and
cooperation issues of non-centralized control schemes and show how
the improved schemes can be successfully applied to solve the
economic dispatch problems of large-scale energy systems.
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