Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation
The reduction of overall system inertia in modern power systems due to the increasing deployment of distributed energy resources is generally recognized as a major issue for system stability. Consequently, real-time monitoring of system inertia is critical to ensure a reliable and cost-effective sys...
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| Veröffentlicht in: | 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) S. 1 - 6 |
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IEEE
14.10.2024
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| Abstract | The reduction of overall system inertia in modern power systems due to the increasing deployment of distributed energy resources is generally recognized as a major issue for system stability. Consequently, real-time monitoring of system inertia is critical to ensure a reliable and cost-effective system operation. Large-scale power systems are typically managed by multiple transmission system operators, making it difficult to have a central entity with access to global measurement data, which is usually required for estimating the overall system inertia. We address this problem by proposing a fully distributed inertia estimation algorithm with rigorous analytical convergence guarantees. This method requires only peer-to-peer sharing of local parameter estimates between neighboring control areas, eliminating the need for a centralized collection of real-time measurements. We robustify the algorithm in the presence of typical power system disturbances and demonstrate its performance in simulations based on the well-known New England IEEE 39-bus system. |
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| AbstractList | The reduction of overall system inertia in modern power systems due to the increasing deployment of distributed energy resources is generally recognized as a major issue for system stability. Consequently, real-time monitoring of system inertia is critical to ensure a reliable and cost-effective system operation. Large-scale power systems are typically managed by multiple transmission system operators, making it difficult to have a central entity with access to global measurement data, which is usually required for estimating the overall system inertia. We address this problem by proposing a fully distributed inertia estimation algorithm with rigorous analytical convergence guarantees. This method requires only peer-to-peer sharing of local parameter estimates between neighboring control areas, eliminating the need for a centralized collection of real-time measurements. We robustify the algorithm in the presence of typical power system disturbances and demonstrate its performance in simulations based on the well-known New England IEEE 39-bus system. |
| Author | Wurfel, Hans Lorenz-Meyer, Nicolai Schiffer, Johannes |
| Author_xml | – sequence: 1 givenname: Nicolai surname: Lorenz-Meyer fullname: Lorenz-Meyer, Nicolai email: lorenz-meyer@b-tu.de organization: Brandenburg University of Technology Cottbus-Senftenberg,Chair of Control Systems and Network Control Technology,Cottbus,Germany – sequence: 2 givenname: Hans surname: Wurfel fullname: Wurfel, Hans email: wuerfel@pik-potsdam.de organization: Infrastructure and Complex Networks Potsdam Institute for Climate Impact Research,Potsdam,Germany – sequence: 3 givenname: Johannes surname: Schiffer fullname: Schiffer, Johannes email: schiffer@b-tu.de organization: Brandenburg University of Technology,Cottbus-Senftenberg and Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems (IEG),Cottbus,Germany |
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| SubjectTerms | Estimation Europe Low-inertia systems power system inertia Power system reliability Power system stability Real-time systems Reliability robust distributed parameter estimation Smart grids Stability analysis Systems operation Technological innovation |
| Title | Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation |
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