Optimal PMU placement with conventional measurements.
Version 1.0.4 (2,69 ko) par
Mohammad Tayyeb Sheikh
Objective function is to optimally place PMU strategically at buses for power system to become completely observable.
The monitoring of power grids is an important diagnostic task. This is effectively achieved by the deployment of Phasor Measurement Units (PMUs). PMUs have gained more popularity because of their ability to accurately measure bus voltage and branch current phasors with respect to a Global Positioning System (GPS) clock every few microseconds. Placing PMUs at all locations in a power system network is not economically feasible due to their cost. Therefore, it is necessary to properly distribute PMUs in order to obtain a good estimation of power system states. This problem is known as an optimal PMU placement (OPP) problem. The preliminary objective of an OPP problem is to find strategic locations for PMU placement such that:
• The system is completely observable and
• The solution is economically viable.
When considering the conventional measurements, the optimal placement of PMUs can be formulated as a problem of integer linear programming.
minimize Σ Xk
subject to : 𝑻𝒄𝒐𝒏*𝑷* 𝑻pmu*𝑿 ≥ 𝒃𝒄𝒐𝒏
X= [𝑥1 𝑥2 …𝑥𝑁]𝑇
Xk ∈ {0,1} : PMU placement variable
Citation pour cette source
Mohammad Tayyeb Sheikh (2024). Optimal PMU placement with conventional measurements. (https://github.com/sheikhtayyeb/Optimal-PMU-placement-with-conventional-measurements./releases/tag/v1.0.4), GitHub. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2021b
Compatible avec toutes les versions
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Version | Publié le | Notes de version | |
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1.0.4 | See release notes for this release on GitHub: https://github.com/sheikhtayyeb/Optimal-PMU-placement-with-conventional-measurements./releases/tag/v1.0.4 |
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1.0.1 | . |
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1.0.0 |
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Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.