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A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning
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DOI：10.1109/TCYB.2019.2948424.png)
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Abstract
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In this article, a discrete-time distributed optimization algorithm is proposed for solving the economic dispatch (ED) problem with some groups of generator units to communicate over a connected graph, which is independent of the power system. The ED problem is converted to a distributed optimization problem with an objective of the sum of individual convex functions and constraints of local generators. Based on the optimal conditions, a class of distributed algorithms is designed to find the solution to the ED problem. The distributed algorithm can be realized as a multiagent system with a connected graph, whose convergence can be proved using the dynamic analysis method. Moreover, experiments with simulations are presented to demonstrate the performance of the proposed algorithm.
Keywords:
Optimization
Distributed algorithms
Partitioning algorithms
Heuristic algorithms
Power generation
Multi-agent systems
Generators
Convergence
distributed algorithm
economic dispatch (ED)
multiagent system
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