Abstract
This letter presents a novel Laplacian spectrum-based approach to directly solve biobjective network partitioning problems. The proposed approach is applied to a typical power system partitioning problem in context of smart grids, where the resultant Pareto front considering two incompatible objectives can adaptively provide useful clustering information for a flexible and distributed system control. This approach has proven to be effective and computationally efficient through a case study of the IEEE 118-bus system.
| Original language | English |
|---|---|
| Pages (from-to) | 2481-2483 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 32 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 May 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bi-objective
- network partition
- pareto optimality
- smart grid
- spectral analysis
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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