INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The power demand globally has drastically increased. This has led to the recent development of the use of renewable energy sources (RES) in power generation. This surge in energy need and generation has caused decontrol in the power system network, making the power pattern less predictable; therefore, real-time monitoring is critical to have a reliable and stable operation. This paper is a review of the dynamic state estimation process in the Nigerian power system. The paper explains the static, dynamic, tracking and forecasting-aid state estimations. It further provides insight into devices that are used for state estimation such as PMUs and SCADA. The paper concludes that state estimation is a veritable tool for monitoring, controlling and predicting the power system dynamic state for efficient operation of the system. The paper suggests that SCADA and PMUs should be used concurrently in power systems for greater efficiency in the system
Keywords:
State estimation, static state estimation, dynamic state estimation, power system, SCADA/PMUs
Cite Article:
"A Review of state estimation of power system dynamic state", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c775-c782, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301298.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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