A cluster-autonomous partitioning algorithm in electrical power grid using Monte Carlo simulation
| Autor: | Chengchao Lu, Zhongjie Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
020209 energy Dynamic data Monte Carlo method Markov chain Monte Carlo 02 engineering and technology Computer Science Applications Computational science Hybrid Monte Carlo symbols.namesake Modeling and Simulation Electrical power grid 0202 electrical engineering electronic engineering information engineering Cluster (physics) Dynamic Monte Carlo method symbols Power grid |
| Zdroj: | International Journal of Modeling, Simulation, and Scientific Computing. :1750053 |
| ISSN: | 1793-9615 1793-9623 |
| DOI: | 10.1142/s1793962317500532 |
| Popis: | Power grid partitioning decomposes a large power grid into several clusters. Most of the existing partitioning methods suffer from a limitation that the buses within a cluster are severely topologically disconnected after partitioning in some cases. As a result, a cluster will inevitably be assigned to two or more power grid corporations. This assignment obstructs inner-cluster monitoring and control applications of the transmission system. To overcome the limitation, this paper proposes a multi-index power grid partitioning approach using Monte Carlo simulation guaranteeing cluster connectivity to ensure the cluster autonomy. A line-based binary coding technique is developed to ensure the cluster connectivity. Three partitioning indices are considered: the coherency, the cluster connectivity, and the number of clusters. Finally, the proposed partitioning method is applied to IEEE 9-bus system, IEEE 39-bus system and IEEE 145-bus system and compared with Fuzzy C-medoid (FCMdd) algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|