Online Optimal Generation Control Based on Constrained Distributed Gradient Algorithm
| Autor: | Wei Zhang, Liming Liu, Frank Ferrese, Wenxin Liu, Xin Wang |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Electric power system
Mathematical optimization Computer science Reliability (computer networking) Control (management) Economic dispatch Constrained optimization Energy Engineering and Power Technology Topology (electrical circuits) Electrical and Electronic Engineering Telecommunications network Algorithm |
| Zdroj: | IEEE Transactions on Power Systems. 30:35-45 |
| ISSN: | 1558-0679 0885-8950 |
| DOI: | 10.1109/tpwrs.2014.2319315 |
| Popis: | In traditional power system, economic dispatch and generation control are separately applied. Online generation adjustment is necessary to regulate generation reference for real-time control to realize economic operation of power systems. Since most economic dispatch solutions are centralized, they are usually expensive to implement, susceptible to single-point-failures, and inflexible. To address the above-mentioned problems, this paper proposed a multi-agent system based distributed control solution that can realize optimal generation control. The solution is designed based upon an improved distributed gradient algorithm, which can address both equality and inequality constraints. To improve the reliability of multi-agent system, the N-1 rule is introduced to design the communication network topology. Compared with centralized solutions, the distributed control solution not only can achieve comparable solutions but also can respond timely when the system experiences change of operating conditions. MAS based real-time simulation results demonstrate the effectiveness of the proposed solution. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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