IMPROVED DESIGN OF A CLASS OF NETWORKED CONTROL SYSTEM

IMPROVED DESIGN OF A CLASS OF NETWORKED CONTROL SYSTEM. Masters thesis, King Fahd University of Petroleum and Minerals.

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Arabic Abstract

ي ا� دحتةبولطملاليغشتلاةطقندنعةقاطلاتادلومءاد �ي رقتسمريغةئيبيفا �ه ثيح ا� تيقطانملاددعتمطبارتملاةقاطلاماظنن ا� رث مدعوتاريغتلاوماظنلاةيكيمانيدببسبلمحلايفريغتلاب ا� نكمملانمكلاذلماظنلاىلعةرثملاتائيبلارارقتس ا� لمحلايفتافالتخالاهذهرثؤتن رارقتساىلع ا� ظن.ةكبشلابهظبترملاةقاطلاةمظن �ر ف،ةيكيمانيدلاةئيبلاوطشنلالمحلاريغتلا �ا ىلعظافحللهيرورضمكحتلاةدحون ا� يفقوثومءاد مكحتملامدختسي.قطانملاةددعتملاوةدرفملاةقاطلاتاكبشيفتايدحتلاهذهةهجاومهنكميمكحتمحارتقامتببسلااذهل.تالحلاهذهلثم لامكحتلاجهنحرتقملا ا� بيرقتلةيناثلاوةحرتقملالحلاةميقةفيظوبيرقتلةدحاونيتيبصعنيتكبشوةلدعمةيضايرةلداعملالخنملثم ا� مكحتلاةراش لا ا� ،ءابرهكلاىلعبلطلايفةرمتسملاةدايزلاعمو.لثم ا� تحبص ا� ةقاطلاةمظن ا� رثك ا� لايف.ثيدحلاةايحلاطمنلةيمه ا� لاةنو ا� ليصوتمت،ةريخ ثيحبةبولطملاءابرهكلابءالمعلاديوزتوبلطلالمحةيبلتلةقاطلاديلوتقطانم ا� تلطعتاذ ا� ف،ديلوتلاقطانمىدح �ا قطانمن ا� .بلطلايطغتىرخ فاذهل �ان ا� تلةضرعةقاطلاةمظن ا� لاريخ �ا لاتامجهلاولاسر �ا نكمييتلاةينورتكل ا� ةساردتمت،ةلاسرلااذهيف.هلطعتوماظنلارارقتساىلعرثؤتن تموجهيفقطانملاددعتمطبارتمةقاطماظنرارقتسا ا� لاريخ �ا .لاصتالاةانقربعتانايبلالدابتعنمييذلاةمدخلاضفرولاسر ا� لو ا� ةدحوميمصتمت، تلماظنلاضرعتيامدنعرارقتسالالماوعريغتمتي،كلذدعب.يمسالاعضولايفرارقتسالاقيقحتلةتباثلاةدترملاةيذغتلايفمكحتلا ا� لاريخ �ا لاسر بسمةددحملادودحلاةاعارمعمموجهوا �ق تلاراركتوةدمللا ا� .ريخ ا� يخ �ر ةدععمقطانمثالثنمطبارتمةقاطماظنليحيضوتلاثمميدقتمتي،ا .ةحرتقملاةقيرطلاةيلاعفاهنمققحتللتاهويرانيس

English Abstract

Sustaining the performance of the power grid at a desired operating point is a challenge in an uncertain environment. Multi-area interconnected power system is affected by the variation in the load due to the dynamic and the uncertainty of the environments. The variations in the load can negotiate the stability of the power systems. Due to the active load change and the dynamic environment and uncertainty a model-free controller is a suitable technique that can maintain reliable performance in this condition. The online adaptive policy control scheme is proposed for load frequency control (LFC) challenges in single and multi-areas power grids. The proposed scheme uses an optimal control approach through a modified Bellman equation and two neural networks one to approximate the proposed solving value function and the second one is to approximate the optimal control. Furthermore, With the continuous increase of the electricity demand, power systems are more essential for the modern lifestyle. Recently, power generation areas have been connected to meet the demand load and provide customers with the required electricity such that if one generation area fails, others con cover the demand. Power systems are vulnerable to transmission delay and cyber-attacks which can affect the stability of the system and cause failure. In this work, we explore the stabilization of a multi-area interconnected power system (MAIPS) in the presence of transmission Delay and denial of service (DoS) attack that prevents the exchange of data over the communication channel. First, a static feedback controller is designed to stabilize the MAIPS in the nominal situation. Then, the stability of the MAIPS is characterized when the system is subjected to the transmission Delay and the DoS attack while considering predetermined limits of the duration and the frequency of the delay. Finally, an illustrative example of three areas of interconnected power systems with several scenarios is presented to verify the effectiveness of the proposed method, and the performance of the proposed model-free adaptive control is compared with the model productive control.

Item Type: Thesis (Masters)
Subjects: Systems
Engineering
Electrical
Department: College of Engineering and Physics > Control and Instrumentation Engineering
Committee Advisor: Al-Yazidi, Dr. Nezar
Committee Members: Mahmoud, Prof. Magdi and Hamdan, Dr. Mutaz
Depositing User: YOUSIF AL WAJIH (g201472320)
Date Deposited: 19 Jun 2022 07:09
Last Modified: 19 Jun 2022 07:09
URI: https://eprints.kfupm.edu.sa/id/eprint/142164