An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP

Aimed at the lack of effective stability evaluation methods for the current steam power system, an operation stability assessment method suitable for single parameter is proposed. This method is a composite method, which first applied the midpoint and regression based empirical mode decomposition (M...

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Autor principal:	ZHENG Yiyang, NI He, JIN Jiashan
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2021
Materias:	midpoint and regression based empirical mode decomposition (mremd) permutation entropy probability of instability (pi) stability assessment Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/5faf4b602be646568c93d7602db6f9a9
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spelling	oai:doaj.org-article:5faf4b602be646568c93d7602db6f9a92021-12-03T02:59:23ZAn Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP1006-246710.16183/j.cnki.jsjtu.2020.256https://doaj.org/article/5faf4b602be646568c93d7602db6f9a92021-11-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1438.shtmlhttps://doaj.org/toc/1006-2467Aimed at the lack of effective stability evaluation methods for the current steam power system, an operation stability assessment method suitable for single parameter is proposed. This method is a composite method, which first applied the midpoint and regression based empirical mode decomposition (MREMD) and singular value decomposition (SVD) to decompose the time series of operation parameters and extract their hidden trend terms. Then, the components are selected for reconstruction according to the optimal algorithm parameter permutation entropy (OAPPE) of each component. Finally, the auto-regressive integrated moving average (ARIMA ) model commonly used in the non-stationary time series analysis is utilized to predict the trend and the disturbance of parameters, and their distribution characteristics are also extracted in this process, based on which, the probability of instability (PI) of operation parameters at each point on the predicted trend are calculated, and their stabilities are quantitatively evaluated. The actual case proves that this method can effectively assess the operation stability of a single parameter of the steam power system, which has a certain theoretical innovation and engineering application value.ZHENG Yiyang, NI He, JIN JiashanEditorial Office of Journal of Shanghai Jiao Tong Universityarticlemidpoint and regression based empirical mode decomposition (mremd)permutation entropyprobability of instability (pi)stability assessmentEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 55, Iss 11, Pp 1438-1444 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	midpoint and regression based empirical mode decomposition (mremd) permutation entropy probability of instability (pi) stability assessment Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	midpoint and regression based empirical mode decomposition (mremd) permutation entropy probability of instability (pi) stability assessment Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 ZHENG Yiyang, NI He, JIN Jiashan An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
description	Aimed at the lack of effective stability evaluation methods for the current steam power system, an operation stability assessment method suitable for single parameter is proposed. This method is a composite method, which first applied the midpoint and regression based empirical mode decomposition (MREMD) and singular value decomposition (SVD) to decompose the time series of operation parameters and extract their hidden trend terms. Then, the components are selected for reconstruction according to the optimal algorithm parameter permutation entropy (OAPPE) of each component. Finally, the auto-regressive integrated moving average (ARIMA ) model commonly used in the non-stationary time series analysis is utilized to predict the trend and the disturbance of parameters, and their distribution characteristics are also extracted in this process, based on which, the probability of instability (PI) of operation parameters at each point on the predicted trend are calculated, and their stabilities are quantitatively evaluated. The actual case proves that this method can effectively assess the operation stability of a single parameter of the steam power system, which has a certain theoretical innovation and engineering application value.
format	article
author	ZHENG Yiyang, NI He, JIN Jiashan
author_facet	ZHENG Yiyang, NI He, JIN Jiashan
author_sort	ZHENG Yiyang, NI He, JIN Jiashan
title	An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
title_short	An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
title_full	An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
title_fullStr	An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
title_full_unstemmed	An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP
title_sort	operation stability assessment method of a single-parameter in team power system based on msop
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2021
url	https://doaj.org/article/5faf4b602be646568c93d7602db6f9a9
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An Operation Stability Assessment Method of a Single-Parameter in team Power System Based on MSOP

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