{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T15:40:17Z","timestamp":1654098017446},"reference-count":43,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,1,1]]},"abstract":"<p>Creation of satellite communication systems gave rise to a new generation of measurement equipment \u2013 Phasor Measurement Unit (PMU). Integrated into the measurement system WAMS, the PMU sensors provide a real picture of state of energy power system (EPS). The issues of PMU placement when solving the problem of EPS state estimation (SE) are discussed in many papers. PMU placement is a complex combinatorial problem, and there is not any analytical function to optimize its variables. Therefore, this problem is often solved by the heuristic optimization methods. Depending on the chosen set of sensors (SCADA&amp;PMU; only PMU; PMU placement based on the concept of depth of unobservability), one can obtain no less than 3 different variants of placing PMUs for one and the same system. The paper describes the PMU placement criteria suggested by the authors to solve the SE problem. Among them: improvement of bad data detection, maximum accuracy of estimates, transformation of the system graph into a tree, maximum number of measurements to be added, PMU placement during the decomposition of the power system SE problem. It is shown that the correct selection of PMU placement criteria can improve the solutions to these problems.<\/p>","DOI":"10.4018\/ijeoe.2014010103","type":"journal-article","created":{"date-parts":[[2014,4,25]],"date-time":"2014-04-25T12:34:06Z","timestamp":1398429246000},"page":"28-64","source":"Crossref","is-referenced-by-count":0,"title":["PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation"],"prefix":"10.4018","volume":"3","author":[{"given":"I. N.","family":"Kolosok","sequence":"first","affiliation":[{"name":"Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia"}]},{"given":"E. S.","family":"Korkina","sequence":"additional","affiliation":[{"name":"Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia"}]},{"given":"A. M.","family":"Glazunova","sequence":"additional","affiliation":[{"name":"Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia"}]}],"member":"2432","reference":[{"key":"ijeoe.2014010103-0","doi-asserted-by":"crossref","unstructured":"Abdel-Rahman, K., Mili, L., Phadke, A., De La Ree, J., & Liu, Y. (2001). Internet based wide area information sharing and its roles in power system state estimation. In Proceedings of the Power Engineering Society Winter Meeting (Vol. 2, pp.470-475).","DOI":"10.1109\/PESW.2001.916891"},{"key":"ijeoe.2014010103-1","unstructured":"Ayuev, B. I. (2008). Methods and models for effective control of operating conditions of Russia\u2019s unified power system. Doctoral dissertation. Novosibirsk, Russia."},{"key":"ijeoe.2014010103-2","unstructured":"Ayuev, B. I., & Kulikov, Y. A. (2007, September 9-13). Prospective directions of applying wide-area monitoring system of UPS\/IPS. 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Meter placement for power system state estimation: An approach based on genetic algorithms and topological observability analysis. In Proceedings of the ISAP\u20192001 Conference, Budapest, Hungary (pp. 15-16)."},{"key":"ijeoe.2014010103-10","doi-asserted-by":"crossref","unstructured":"Do Couto Filho, M. B., Souza, J. C. S., de Marcus, F. M. F., & Schilling, M. T. (2001). Identifying critical measurement & sets for power system state estimation. In Proceedings of IEEE PowerTech Conference, Porto, Portugal.","DOI":"10.1109\/PTC.2001.964911"},{"key":"ijeoe.2014010103-11","first-page":"229","article-title":"Bibliography on power system state estimation (1968-1989).","volume":"10","author":"B. M.Do Coutto Filbo","year":"1990","journal-title":"IEEE Transactions on Power Systems"},{"issue":"4","key":"ijeoe.2014010103-12","first-page":"1812","article-title":"Optimal multistage scheduling of PMU placement: An ILP approach. 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S. (2009). Decomposition of power system state estimation problem with the use of PMU data for large dimension schemes. In Proceedings of the International Workshop \u00abLiberalization and Modernization of Power Systems: Coordinated Monitoring and Control towards Smart Grids\u00bb, Irkutsk, Russia (pp. 28-35)."},{"key":"ijeoe.2014010103-32","unstructured":"Kulikov, Y. A., Zhukov, A. V., & Matskevich, I. E. (2010, June 1-4). Prospects for application of vector parameter registration in control of Russia\u2019s UPS operation. In Presentation at the XX Conference \u201cRelay Protection and Automatic Equipment of Electric Power Systems 2010\u201d."},{"key":"ijeoe.2014010103-33","unstructured":"Mao, A., Yu, J., & Guo, Z. (2005). PMU placement and data processing in WAMS that complements SCADA. 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