- 期刊
- OpenAccess
Distributed Consensus-Based Primal-Dual Perturbation Method for Economic Dispatch Problem
摘要
A distributed consensus-based primal-dual perturbation (PDP) algorithm is presented to solve the economic power dispatch with transmission losses and generator constraints. In the algorithm, agents employ the average consensus technique to estimate the system power mismatch via exchanging messages with neighbors, and meanwhile use a local primal-dual perturbed subgradient method to approach a global optimum. Compared with traditional distributed methods, the proposed PDP method breaks through the assumption of the strict communication structure, and can handle networks of different size and topology. Simulations performed on standard test cases demonstrate the effectiveness of the proposed approach.
延伸閱讀
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