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Tài liệu Phối hợp tối ưu rơ le số bảo vệ quá dòng có định hướng

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ĈҤ,+Ӑ&48Ӕ&*,$73+&0 75ѬӠ1*ĈҤ,+Ӑ&%È&+.+2$ ĈӚ0,1++Ҧ, 3+Ӕ,+Ӧ37Ӕ,Ѭ85Ѫ-/(6Ӕ%Ҧ29ӊ48È'Ñ1* &ÏĈӎ1++ѬӞ1* &KX\rQQJjQK.ӻ7KXұWĈiӋQ Mã Vӕ 8520201 /8Ұ19Ă17+Ҥ&6Ƭ 73+Ӗ&+Ë0,1+WKiQJ QăP iii &Ð1*75Î1+ĈѬӦ&+2¬17+¬1+7Ҥ, 75ѬӠ1*ĈҤ,+Ӑ&%È&+.+2$- Ĉ+4*- HCM &iQEӝKѭӟQJGүQNKRDKӑF76+8ǣ1+48$1*0,1+ &iQEӝFKҩPQKұQ[pW 3*6763KҥPĈuQK$QK.K{L &iQEӝFKҩPQKұQ[pW 76+XǤQK9ăQ9ҥQ /XұQYăQWKҥFVƭÿѭӧFEҧRYӋWҥL7UѭӡQJĈҥLKӑF%iFK.KRD TP.HCMĈҥLKӑF4XӕFJLD7S+&0QJj\WKiQJQăP 2021. (Online trên Google Meet) 7KjQKSKҫQ+ӝLÿӗQJÿiQKJLiOXұQYăQWKҥFVƭJӗP 1. TS. /r.ӹ - &KӫWӏFK 2. TS. /r7Kӏ7ӏQK0LQK - 7KѭNê 3. PGS.TS. 3KҥPĈuQK$QK.K{L - 3KҧQELӋQ 4. TS. +XǤQK9ăQ9ҥQ - 3KҧQELӋQ 5. TS. 7UҫQ+XǤQK1JӑF - Ӫ\YLrQ ;iFQKұQFӫD&KӫWӏFK+ӝLÿӗQJÿiQKJLi/9Yj7UѭӣQJ.KRDTXҧQOê FKX\rQQJjQKVDXNKLOXұQYăQÿmÿѭӧFVӱDFKӳD QӃXFy) &+Ӫ7ӎ&+ +Ӝ, ĈӖ1* 75ѬӢ1*.+2$Ĉ,ӊ1-Ĉ,ӊ1 7Ӱ iv ĈҤ,+Ӑ&48Ӕ&*,$73+&0 75ѬӠ1*ĈҤ,+Ӑ&%È&+.+2$ &Ӝ1*+Ñ$;­+Ӝ,&+Ӫ1*+Ƭ$9,ӊ71$0 ĈӝFOұS- 7ӵGR- +ҥQKSK~F 1+,ӊ0 9Ө/8Ұ19Ă17+Ҥ&6Ƭ +ӑWrQKӑFYLrQĈӚ0,1++Ҧ,............................................. MSHV:1970040 1Jj\WKiQJQăP sinh: 20/12/1996.......................................... 1ѫLVLQKCà Mau &KX\rQQJjQK.ӻ WKXұW ÿLӋQ .................................................. 0mVӕ 8520201 I. 7Ç1Ĉӄ7¬,³3+Ӕ,+Ӧ37Ӕ,Ѭ85Ѫ-/(6Ӕ%Ҧ29ӊ48È'Ñ1* &ÏĈӎ1++ѬӞ1*´. II. 1+,ӊ09Ө9¬1Ӝ,'81* : x Tìm KLӇXWәQJTXDQYӅEjLWRiQWӕLѭXYjFiFKJLҧLEjLWRiQWӕLѭX. x 7uPKLӇXYӅWӕLѭXKyDWURQJKӋWKӕQJÿLӋQYjPӝWVӕWKXұWWRiQWӕLѭX WURQJKӋWKӕQJÿLӋQ. x 7uPKLӇXWKXұWWRiQWӕLѭXFiYRL :2$ YjUѫ-OHEҧRYӋTXiGzQJFy KѭӟQJ. x ӬQJGөQJWKXұWWRiQ:2$WURQJWӕLѭXKyDEҧRYӋUѫ-OHVӕFyÿӏQK KѭӟQJ. III. 1*¬<*,$21+,ӊ09Ө:22/02/2021 IV. 1*¬<+2¬17+¬1+1+,ӊ09Ө:13 /06/2021 V. &È1%Ӝ+ѬӞ1*'Ү1: TS +8ǣ1+48$1*0,1+ Tp. HCM, ngày . . . . tháng ...... QăP 2021 &È1%Ӝ+ѬӞ1*'Ү1 &+Ӫ1+,ӊ0%Ӝ0Ð1Ĉ¬27Ҥ2 +XǤQK4XDQJMinh 75ѬӢ1*.+2$Ĉ,ӊ1- Ĉ,ӊ17Ӱ v /Ӡ,&Ҧ0Ѫ1  DE /ӡL ÿҫX tiên, tôi xin chân thành FҧP ѫQ Vӵ quan tâm, giúp ÿӥ FӫD 7UѭӡQJ ĈҥL KӑF Bách Khoa TP +ӗ Chí Minh, khoa ĈLӋQ - ĈLӋQ Wӱ và Eӝ môn +Ӌ WKӕQJ ÿLӋQÿmKӛWUӧYjWҥRÿLӅXNLӋQWӕWQKҩWFKR W{LKRjQWKjQKNKyDKӑFWKҥFVƭYj KRjQWKjQKOXұQ YăQ 7{LFNJQJ[LQFKkQWKjQKFҧPѫQTXê7Kҫ\&{FӫD.KRDĈLӋQ- ĈLӋQ7ӱ ÿmWұQWuQKJLҧQJGҥ\W{LWURQJVXӕWWKӡLJLDQNKyDKӑFĈһFELӋWOjFiFWKҫ\F{ ӣ Eӝ môn +Ӌ WKӕQJ ÿLӋQ ÿm WұQ tâm KѭӟQJ GүQ WUX\Ӆn ÿҥW giúp tôi Eә sung thêm QKLӅXNLӃQWKӭFFKX\rQQJjQKSKөFYөFKROXұQYăQFNJQJQKѭWURQJF{QJ YLӋF KLӋQWҥLYjVDX này. Và OӡL FҧP ѫQ sâu VҳF QKҩW [LQJӣL ÿӃQ TS +XǤQK4XDQJ0LQK ÿmÿӏQK KѭӟQJÿӅWjLKѭӟQJGүQJLҧLTX\ӃWFiFYҩQ ÿӅYjWҥRPӑLÿLӅXNLӋQWKXұQOӧL QKҩWWURQJTXiWUuQKW{LWKӵFKLӋQOXұQ YăQ &XӕLFQJW{L[LQFiPѫQ7UXQJWkPĈLӅXÿӝ+ӋWKӕQJÿLӋQ73+ӗ&Kt 0LQKÿmWҥRÿLӅXNLӋQWKXұQOӧLFKRW{LWuPKLӇXYjFXQJFҩSGӳOLӋXJL~SKRjQ WKjQKOXұQYăQQj\ Xin chân WKjQKFiPѫQ 7S+ӗ&Kt0LQKQJj\ «tháng «QăP Ĉӛ0LQK+ҧL vi 7Ï07Ҳ7/8Ұ19Ă1 DE 3+Ӕ,+Ӧ37Ӕ,Ѭ85Ѫ-/(6Ӕ%Ҧ29ӊ48È'Ñ1*&ÏĈӎ1++ѬӞ1* /XұQYăQQj\WUuQKEj\YӅ FiFWKXұWWRiQWӕLѭXQyLFKXQJFNJQJQKѭWKXұWWRiQ WӕL ѭXFiYRL :2$ QyLULrQJYjӭQJGөQJFӫDFK~QJWURQJKӋWKӕQJÿLӋQ%rQFҥQK ÿyOXұQYăQFNJQJWuPKLӇXYӅKӋWKӕQJEҧR YӋUѫ-OHÿһFELӋWOjUѫ-OHEҧRYӋTXi GzQJFyÿӏQKKѭӟQJ7ӯÿyiSGөQJWKXұWWRiQWӕLѭXFiYRL :2$ YjRYLӋFWtQK WRiQSKӕLKӧSWӕLѭXKyDWKӡLJLDQEҧRYӋFӫDKӋWKӕQJUѫ-OHEҧRYӋTXiGzQJFy ÿӏQKKѭӟQJÿӕLYӟLOѭӟL,(((EXVYjEXVÈSGөQJWKӵFWӃYjROѭӟLÿLӋQWUXQJ WKӃN9FӫD+ӋWKӕQJÿLӋQ73+ӗ&Kt0LQK ABSTRACT DE OPTIMIZATION CO-ORDINATION DIRECTIONAL OVERCURRENT RELAY This thesis presents the optimization algorithms in general and whale optimization algorithm (WOA) in specific as well as their applications in power system. In additon, it also gets access to the relay protection system, particularly the directional overcurrent relay. Since, we can put the WOA into practice calculating optimization co-ordination directional overcurrent relay in the IEEE 3-bus and 8-bus system. From that, the result will be applied into the 22kV power system of Ho Chi Minh city. vii /Ӡ,&$0Ĉ2$1 DE /XұQYăQWKҥFVƭQj\ÿѭӧFWKӵFKLӋQWҥL7UѭӡQJĈҥL+ӑF%iFK.KRD7S +ӗ&Kt0LQK/jF{QJWUuQKGRW{LQJKLrQFӭXWKӵFKLӋQGѭӟLVӵKѭӟQJGүQWUӵF WLӃSFӫD76. +XǤQK4Xang Minh. 7{L [LQ FDP ÿRDQ SKҫQ WUuQK Ej\ GѭӟL ÿk\ Oj ÿ~QJ Vӵ WKұW YӅ TXi WUuQK QJKLrQFӭXWKӵFKLӋQOXұQYăQFӫDW{L7UѭӡQJKӧSFyNKLӃXQҥLJuOLrQTXDQWӟL OXұQYăQW{LKRjQWRjQFKӏXWUiFKQKLӋP VLӋFWKDPNKҧRFiFQJXӗQWjLOLӋXÿm ÿѭӧFWKӵFKLӋQWUtFKGүQYjJKLQJXӗQWjLOLӋXWKDPNKҧRÿ~QJTX\ÿӏQK 7S+͛&Kt0LQKQJj\«WKiQJ«QăP +ӑFYLrQ Ĉӛ0LQK+ҧL MӨC LӨC MӢ ĈҪU .......................................................................................................................... 1 1. Ĉһt vҩQÿӅ ..................................................................................................................... 1 2. 0өFWLrXFӫDOXұQYăQ................................................................................................... 1 3. 3KѭѫQJSKiSWKӵFKLӋQ ................................................................................................ 2 4. ĈӕLWѭӧQJYjSKҥPYLQJKLrQFӭX ................................................................................ 2 5. éQJKƭDWKӵF WLӉQFӫDÿӅWjL .......................................................................................... 2 &+ѬѪ1*7ӘNG QUAN Vӄ BÀI TOÁN TӔ,Ѭ8 .................................................. 3 1.1. %jLWRiQWӕLѭX............................................................................................................... 3 1.2. &iFORҥLEjLWRiQWӕLѭX ................................................................................................. 4 1.3. 3KѭѫQJSKiSWӕLѭX ...................................................................................................... 6 &+ѬѪ1*7Ӕ,Ѭ8+Ï$7521*+ӊ THӔ1*Ĉ,ӊN ............................................ 9 2.1. .KiLQLӋP ...................................................................................................................... 9 2.2. &iFSKѭѫQJSKiSWӕLѭXKyDWURQJKӋWKӕQJÿLӋQ ......................................................10 2.3. *LӟLWKLӋXPӝWVӕSKѭѫQJSKiSWuPNLӃPWӕLѭX +HXULVWLFV ÿѭӧFVӱGөQJWURQJKӋ WKӕQJÿLӋQ ...............................................................................................................................11 &+ѬѪ1*: THUҰT TOÁN TӔ,Ѭ8&È92, :2$ ............................................ 29 3.1. &iFEѭӟc thӵc hiӋn thuұt toán tӕLѭXWOA ...............................................................29 3.2. /ѭXÿӗ giҧi thuұt cӫa thuұt toán tӕLѭX:2$ ..........................................................33 &+ѬѪ1**,ӞI THIӊU Vӄ 5Ѫ-LE BҦO Vӊ 48È'Ñ1*&Ï+ѬӞNG. ......... 35 4.1. Giӟi thiӋu chung vӅ 5ѫ-le bҧo vӋ.................................................................................35 4.2. Nguyên lý bҧo vӋ TXiGzQJÿLӋQTXiGzQJÿLӋn có Kѭӟng .........................................39 &+ѬѪ1*  ӬNG DӨNG THUҰT TOÁN WOA TRONG TӔ, Ѭ8 +Ï$ %ҦO Vӊ 5Ѫ-LE SӔ &ÏĈӎ1++ѬӞNG. ................................................................................... 54 5.1. Ĉһc tuyӃQGzQJÿLӋn - thӡi gian cӫDUѫ-OHTXiGzQJÿӏQKKѭӟng ...............................54 5.2. Hàm mөc tiêu và các ràng buӝc ..................................................................................55 5.3. Áp dөng thuұt toán GWO tính toán phӕi hӧp bҧo vӋ Uѫ-le FKROѭӟi IEEE chuҭn.....56 5.4. Áp dөng thuұWWRiQ:2$ÿӇ WtQKWRiQFKROѭӟLÿLӋn Thành phӕ Hӗ Chí Minh .......68 &+ѬѪ1*.ӂT LUҰ19¬ĈӎNH +ѬӞNG NGHIÊN CӬ87521*7ѬѪ1*/$, ........................................................................................................................................ 73 6.1. KӃt luұn ........................................................................................................................73 6.2. ĈӏQKKѭӟng nghiên cӭXWURQJWѭѫQJODL ......................................................................74 TÀI LIӊU THAM KHҦO ............................................................................................. 76 LÝ LӎCH TRÍCH NGANG ........................................................................................... 78 DANH MӨC HÌNH ҦNH +uQK&iFEѭӟc thӵc hiӋn thuұt toán di truyӅn ....................................................... 16 Hình 2.2 Các thành phҫn và mӕi liên hӋ giӳa chúng cӫa thuұt toán di truyӅn ........... 16 Hình 2.3 Minh hӑa quá trình thích nghi vӟi hoàn cҧnh sӕng cӫDEѭѫPEѭӟm .......... 17 +uQK/ѭXÿӗ giҧi thuұt cӫa thuұt toán di truyӅn ................................................... 18 Hình 2.5 HӋ thӕng phân cҩp thӕng trӏ xã hӝi trong bҫy sói xám ................................. 19 +uQK4XiWUuQKVăQPӗi cӫa sói xám ....................................................................... 21 Hình 2.7 Vec-Wѫ vӏ trí trong 2D và 3D ........................................................................... 22 Hình 2.8 Cұp nhұt vӏ trí trong GWO ............................................................................ 23 Hình 3.1 Vӏ trí tӕLѭXWURQJNK{QJJLDQ'................................................................... 30 Hình 3.2 Vӏ trí tӕLѭXWURQJNK{QJJLDQD................................................................... 31 Hình 3.3 Cұp nhұt vӏ trí theo hình xoҳn ӕc................................................................... 31 +uQK&ѫFKӃ WKăPGzÿѭӧc thӵc hiӋn trong thuұt toán WOA ............................... 32 Hình 4.1 Nguyên nhân gây sӵ cӕ trong hӋ thӕQJÿLӋn .................................................. 35 Hình 4.2 Tính chӑn lӑc cӫa bҧo vӋ UѫOH........................................................................ 38 +uQKĈѭӡng dây hình tia mӝt nguӗn ...................................................................... 40 +uQKĈһc tính thӡLJLDQÿӝc lұp và phө thuӝc ........................................................ 41 Hình Ĉӗ thӏ tính toán bҧo vӋ quá dòng cҳt nhanh không thӡi gian ....................... 44 +uQK6ѫÿӗ OѭӟLÿLӋn vӟi bҧo vӋ quá dòng cҳt nhanh ............................................. 44 Hình 4.7 Các bҧo vӋ TXiGzQJÿLӋn pha ....................................................................... 45 Hình 4.8 Phҥm vi bҧo vӋ cӫa quá dòng cҳt nhanh ....................................................... 46 +uQK6ѫÿӗ OѭӟLÿLӋn phӭc tҥp yêu cҫu bҧo vӋ FyKѭӟng ....................................... 48 Hình 4.10 DònJÿLӋQYjÿLӋn áp tham chiӃu cӫa bӝ phұQÿӏQKKѭӟng công suҩt........ 49 +uQKĈһc tính hoҥWÿӝng cӫa phҫn tӱ ÿӏnKKѭӟng ............................................... 50 +uQK6ѫÿӗ hӋ thӕQJÿLӋn 3 nút ............................................................................... 58 +uQK6ѫÿӗ hӋ thӕQJÿLӋn 8 nút ............................................................................... 63 Hình 5.3 Thông sӕ tuyӃn dây 473 Tân Xuân ................................................................ 69 +uQK6ѫÿӗ tuyӃn 473 Tân Xuân vӁ bҵng Etap....................................................... 70 Hình 5.5 PhiӃu chӍQKÿӏQKUѫ-OHGR7UXQJWkPĈLӅXÿӝ HӋ thӕQJÿLӋn miӅn Nam ban hành««««««««««««««««««««««««««««««««« 71 '$1+0Ө&%Ҧ1*%,ӆ8 Bҧng 5.1 Chuҭn IEEE cho các loҥLÿһc tuyӃn khác nhau ............................................ 55 Bҧng 5.2 Dӳ liӋu máy phát cho hӋ thӕng 3 nút ............................................................. 58 Bҧng 5.3 Dӳ liӋXÿѭӡng dây cho hӋ thӕng 3 nút ........................................................... 58 Bҧng 5.4 Tӹ sӕ biӃn dòng cӫa các CT cho hӋ thӕng 3 nút ............................................ 59 BҧQJ'zQJÿLӋn sӵ cӕ và dӵ phòng khi sӵ cӕ xҧy ra cho hӋ thӕng 3 nút ............... 59 Bҧng 5.6 Thӡi gian vұn hành cӫa tӯQJUѫOHYjUjQJEXӝFWѭѫQJӭng ........................ 60 Bҧng 5.7 So sánh kӃt quҧ cho hӋ thӕng 3 nút ............................................................... 60 Bҧng 5.8 Thӡi gian vұn hành cӫa tӯQJUѫOHYjUjQJEXӝFWѭѫQJӭng ........................ 61 Bҧng 5.9 So sánh kӃt quҧ cho hӋ thӕng 3 nút ............................................................... 62 Bҧng 5.10 Dӳ liӋu máy phát cho hӋ thӕng 8 nút ........................................................... 63 Bҧng 5.11 Dӳ liӋXÿѭӡng dây cho hӋ thӕng 8 nút ......................................................... 63 Bҧng 5.12 Tӹ sӕ CT cho hӋ thӕng 8 nút ........................................................................ 64 Bҧng 5.13 Dòng sӵ cӕ và dӵ phòng khi sӵ cӕ xҧy ra cho hӋ thӕng 8 nút ..................... 64 Bҧng 5.14 Thӡi gian vұn hành cӫa tӯQJUѫOHYjÿLӅu kiӋn ràng buӝFWѭѫQJӭng ...... 66 BҧQJ6RViQKSKѭѫQJSKiS:2$YӟLFiFSKѭѫQJSKiSNKiF ............................ 66 Bҧng 5.16 Thӡi gian vұn hành cӫa tӯQJUѫOHYjÿLӅu kiӋn ràng buӝFWѭѫQJӭng vӟLÿһc tuyӃn Very Inverse......................................................................................................... 67 Bҧng 5.17 So sánh vӟLFiFSKѭѫQJSKiSNKiF ............................................................ 667 Bҧng 5.18 Các sӕ liӋu dùng cho viӋc tính toán phӕi hӧp thӡi gian cho tuyӃn Tân Xuân ........................................................................................................................................ 70 Bҧng 5.19 KӃt quҧ phӕi hӧp bҧo vӋ UѫOHFKRWX\Ӄn 473 Tân Xuân ............................. 72 1 MӢ ĈҪU 1. 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phân tích thông tin WKѭӡQJÿѭӧc cung cҩp bӣLQJѭӡi sӱ dөng hӋ thӕng) vӅ mӝt lӟp vҩn ÿӅ cө thӇFNJQJQKѭÿѭDUDFic phân tích vӅ các vҩQÿӅ ÿyYjW\WKHR thiӃt kӃ FKѭѫQJWUuQKPjÿѭDOӡi khuyên vӅ trình tӵ FiFKjQKÿӝng cҫn thӵc hiӋQÿӇ giҧi quyӃt vҩQÿӅĈk\OjPӝt hӋ thӕng sӱ dөng các khҧ QăQJ Oұp luұQ ÿӇ ÿҥt tӟi các kӃt luұn. HiӋQ QD\ ÿm Fy Uҩt nhiӅu hӋ chuyên giDÿѭӧc phát triӇn cho viӋc vұQKjQKYjÿLӅu khiӇn hӋ thӕng ÿLӋn. - 0̩QJ QHXUDO QKkQ W̩R KD\ WKѭӡQJ JӑL QJҳQ JӑQ Oj PҥQJ neural (Artificial Neural network - ANN hay Neural Network) là PӝW P{KuQKWRiQKӑF hay mô hình tính toán ÿѭӧF[k\GӵQJGӵDWUrQ các PҥQJ QHXUDO VLQK KӑF 1y JӗP Fy PӝW QKyP các neural nhân WҥR Q~W QӕLYӟLQKDXYj[ӱOêWK{QJWLQEҵQJFiFKWUX\ӅQWKHRFiF NӃWQӕLYjWtQKJLiWUӏPӟLWҥLFiFQ~W FiFKWLӃSFұQFRQQHFWLRQLVPÿӕL YӟL tính toán  7URQJ QKLӅX WUѭӡQJ KӧS PҥQJ QHXUDO QKkQ WҥR Oj PӝW KӋ WKӕQJ WKtFK ӭQJ (adaptive system  Wӵ WKD\ ÿәL FҩX WU~F FӫD PuQKGӵDWUrQFiFWK{QJWLQErQQJRjLKD\ErQWURQJFKҧ\TXDPҥQJ WURQJTXiWUuQKKӑF7URQJWKӵFWӃPҥQJQHXUDOÿѭӧFӭQJ GөQJSKә ELӃQWURQJKӋWKӕQJÿLӋQÿһFELӋWOjWURQJJLiPViWYjÿLӅXNKLӇQ - /RJLFPͧ )X]]\ORJLF  ÿѭӧc phát triӇn tӯ lý thuyӃt tұp mӡ ÿӇ thӵc hiӋn lұp luұn mӝt cách xҩp xӍ thay vì lұp luұn chính xác theo lôgic vӏ tӯ cә ÿLӇn. Lôgic mӡ có thӇ ÿѭӧc coi là mһt ӭng dөng cӫa lý thuyӃt tұp mӡ ÿӇ xӱ lý các giá trӏ trong thӃ giӟi thӵc cho các bài toán phӭc
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