Alexander Anderson
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PNNL Publications
2024
- Anderson A.A., A.R. Fisher, S. Poudel, A.P. Reiman, L.T. Wall, and S.V. Vadari. 2024. "SMARTER Rules-Based Distributed Deconfliction of ADMS Applications." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2024), February 19-22, 2024, Washington, D.C., 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-187266. doi:10.1109/ISGT59692.2024.10454194
- Sharma P., A.P. Reiman, A.A. Anderson, S. Poudel, C.H. Allwardt, A.R. Fisher, and T. Slay, et al. 2024. "GridAPPS-D Distributed App Architecture and API for Modular and Distributed Grid Operations." IEEE Access 12, no. _:39862 - 39875. PNNL-SA-193951. doi:10.1109/ACCESS.2024.3374331
2023
- Anderson A.A., A. Bretas, D. Wang, O. Vasios, J. Carrara, and J. Pew. 2023. "Distributed Load Shedding Application Architecture and Bi-Level Predictive Estimator Algorithm." In 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5. Orlando, Florida:IEEE. PNNL-SA-179692. doi:10.1109/PESGM52003.2023.10252895
- Anderson A.A., B.A. Jefferson, S. Kincic, J.E. Wenskovitch, C. Fallon, J.A. Baweja, and Y. Chen. 2023. "Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust." IEEE Access 11. PNNL-SA-177705. doi:10.1109/ACCESS.2023.3322133
- Anderson A.A., L.T. Wall, S.V. Vadari, and A.P. Reiman. 2023. Distributed Rules-Based Deconfliction of ADMS Applications: Part 1: Requirements & Decomposition. PNNL-34604-1. Richland, WA: Pacific Northwest National Laboratory. Distributed Rules-Based Deconfliction of ADMS Applications: Part 1: Requirements & Decomposition
- Anderson A.A., S.V. Vadari, L.T. Wall, P. Sharma, and A.P. Reiman. 2023. Distributed Rules-Based Deconfliction of ADMS Applications: Part 2: Conceptual Implementation. PNNL-34605-2. Richland, WA: Pacific Northwest National Laboratory. Distributed Rules-Based Deconfliction of ADMS Applications: Part 2: Conceptual Implementation
- Anderson A.A., T.E. McDermott, and E.G. Stephan. 2023. A Power Application Developer's Guide to the Common Information Model: An Introduction for Power Systems Engineers and Application Developers - CIM17v40. PNNL-34946. Richland, WA: Pacific Northwest National Laboratory. A Power Application Developer's Guide to the Common Information Model: An Introduction for Power Systems Engineers and Application Developers - CIM17v40
- Reiman A.P., S. Poudel, M. Mukherjee, A.A. Anderson, O. Vasios, T. Slay, and G.D. Black, et al. 2023. "App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems." IEEE Access 11. PNNL-SA-183068. doi:10.1109/ACCESS.2023.3269422
2022
- Anderson A.A., E.G. Stephan, and T.E. McDermott. 2022. Enabling Data Exchange and Data Integration with the Common Information Model. PNNL-32679. Richland, WA: Pacific Northwest National Laboratory. Enabling Data Exchange and Data Integration with the Common Information Model
- Anderson A.A., J.L. Barr, P. Sharma, C.H. Allwardt, S.V. Vadari, and A. Dubey. 2022. "Real-time Distribution Simulation and Application Development for Power Systems Education." In IEEE Power & Energy Society General Meeting (PESGM 2022), July 17-21, 2022, Denver, CO, 01-05. Piscataway, New Jersey:IEEE. PNNL-SA-168278. doi:10.1109/PESGM48719.2022.9917004
- Anderson A.A., R. Podmore, P. Sharma, A.P. Reiman, R. Jinsiwale, C.H. Allwardt, and G.D. Black. 2022. "Distributed Application Architecture and LinkNet Topology Processor for Distribution Networks using the Common Information Model." IEEE Access 10. PNNL-SA-178215. doi:10.1109/ACCESS.2022.3221132
- Anderson A.A., S.V. Vadari, J.L. Barr, S. Poudel, A. Dubey, T.E. McDermott, and R. Podmore. 2022. Introducing the 9500 Node Distribution Test System to Support Advanced Power Applications. PNNL-33471. Richland, WA: Pacific Northwest National Laboratory. Introducing the 9500 Node Distribution Test System to Support Advanced Power Applications
- Fallon C., T. Yin, and A.A. Anderson. 2022. Method for Generating Expert Derived Confidence Scores. PNNL-33400. Richland, WA: Pacific Northwest National Laboratory. Method for Generating Expert Derived Confidence Scores
- Wenskovitch J.E., A.A. Anderson, S. Kincic, C. Fallon, D.K. Ciesielski, J.A. Baweja, and M.C. Mersinger, et al. 2022. "Operator Insights and Usability Evaluation of Machine Learning Assistance for Power Grid Contingency Analysis." In Human Factors in Energy: Oil, Gas, Nuclear and Electric Power. AHFE (2022) International Conference., July 24-28, 2022, New York, NY, edited by R. Boring and R. McDonald, 54, 40-48. New York, New York:AHFE International. PNNL-SA-170435. doi:10.54941/ahfe1002219
- Wenskovitch J.E., B.A. Jefferson, A.A. Anderson, J.A. Baweja, D.K. Ciesielski, and C. Fallon. 2022. "A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis." Frontiers in Big Data 5. PNNL-SA-171158. doi:10.3389/fdata.2022.897295