7 research outputs found

    AFE ์ •๋ฅ˜๊ธฐ์˜ ์„ฑ๋Šฅ๊ฐœ์„ ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    The THD(Total Harmonic Distortion) level of AFE rectifiers is relatively lower than DFE rectifiers in the AC output of a source unit and the power factor can be improved by controlling input currents. In addition, it makes output voltages similar to DC waveforms in a DC link. However there is a disadvantage that when the source voltage is unmeasurable precisely because of harmonics or noises in circuits, a phase angle of the source can not be detected accurately, therefore the control of the rectifier will be unstable. In this paper, the improved AFE rectifier which has the enhanced controller of a phase angle in the source unit is proposed and it also provides decoupling control by feeding forward interference factors to the synchronous rotating and axises. Consequently, the simulation demonstrated that the output waveform in the DC link of the improved AFE rectifier illustrates the reduced harmonics and the improved power factor.|AFE ์ •๋ฅ˜๊ธฐ๋Š” DFE ์ •๋ฅ˜๊ธฐ์— ๋น„ํ•ด์„œ ๊ต๋ฅ˜์ „์› ์ถœ๋ ฅ์ธก์˜ ์ด๊ณ ์กฐํŒŒ์™œํ˜•๋ฅ ์ด ๋‚ฎ๊ณ , ์ž…๋ ฅ ์ „๋ฅ˜๊ฐ€ ์ œ์–ด๊ฐ€ ๊ฐ€๋Šฅํ•˜๋ฏ€๋กœ ์—ญ๋ฅ ์ด ํ–ฅ์ƒ๋œ๋‹ค. ๋˜ํ•œ, DC link๋‹จ์˜ ์ง๋ฅ˜ ์ถœ๋ ฅ ํŒŒํ˜•์„ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€ ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ „์› ์ „์••์ด ๊ณ ์กฐํŒŒ๋‚˜ ์žก์Œ์œผ๋กœ ์ œ๋Œ€๋กœ ์ธก์ •๋˜์ง€ ์•Š์„ ๊ฒฝ์šฐ ์ „์› ์ „์••์˜ ์œ„์ƒ๊ฐ์ด ์ •ํ™•ํ•˜๊ฒŒ ๊ฒ€์ถœ๋˜์ง€ ์•Š์œผ๋ฏ€๋กœ ์ •๋ฅ˜๊ธฐ ์ œ์–ด๊ฐ€ ๋ถˆ์•ˆ์ •ํ•ด์ง€๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ œ์•ˆํ•˜๋Š” ์ „์› ์ „์•• ์œ„์ƒ๊ฐ ์ œ์–ด๊ธฐ๋ฅผ ์ด์šฉํ•œ ๊ฐœ์„ ๋œ AFE ์ •๋ฅ˜๊ธฐ๋ฅผ ์„ค๊ณ„ํ•˜์˜€๊ณ , ๋™๊ธฐํšŒ์ „์ขŒํ‘œ๊ณ„๋กœ ๋ณ€ํ™˜๋œ ์ถ•, ์ถ• ์ „๋ฅ˜์— ์™ธ๋ž€์œผ๋กœ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฐ„์„ญ์„ฑ๋ถ„์„ ์ „ํ–ฅ๋ณด์ƒํ•˜์—ฌ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์–ดํ•˜์˜€๋‹ค. ๊ฐœ์„ ๋œ AFE ์ •๋ฅ˜๊ธฐ์˜ ์ง๋ฅ˜์ถœ๋ ฅ ํŒŒํ˜•๊ฐœ์„ , ์ „์› ์ถœ๋ ฅ์ธก์˜ ๊ณ ์กฐํŒŒ ์ €๊ฐ ๋ฐ ์—ญ๋ฅ  ๊ฐœ์„  ๋“ฑ์˜ ์‘๋‹ตํŠน์„ฑ์ด ์šฐ์ˆ˜ํ•จ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๊ฒฐ๊ณผ๋กœ์„œ ์ฆ๋ช…ํ•˜์˜€๋‹ค.์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ๋‚ด์šฉ 2 1.3 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 3 ์ œ 2 ์žฅ ์„ ๋ฐ•์˜ ์ „๊ธฐ์ถ”์ง„์‹œ์Šคํ…œ 4 2.1 ์ „๊ธฐ์ถ”์ง„์‹œ์Šคํ…œ์˜ ๊ฐœ์š” ๋ฐ ์ „์ฒด๊ตฌ์„ฑ 4 2.2 ์ „๊ธฐ์ถ”์ง„์‹œ์Šคํ…œ์˜ ์„ธ๋ถ€๊ตฌ์„ฑ 5 2.2.1 ์›๋™๊ธฐ์™€ ๋ฐœ์ „๊ธฐ 5 2.2.2 ์ „๋ ฅ๋ณ€ํ™˜์žฅ์น˜ 5 2.2.3 ์ถ”์ง„์ „๋™๊ธฐ 7 ์ œ 3 ์žฅ ๊ธฐ์กด ์ „๊ธฐ์ถ”์ง„์‹œ์Šคํ…œ์˜ ์ •๋ฅ˜๊ธฐ 9 3.1 DFE ์ •๋ฅ˜๊ธฐ 9 3.1.1 DFE ์ •๋ฅ˜๊ธฐ์˜ ๊ตฌ์„ฑ 9 3.1.2 DFE ์ •๋ฅ˜๊ธฐ์˜ ์ง๋ฅ˜์ถœ๋ ฅ๊ณผ ์ „์› ์ถœ๋ ฅ์ธก์˜ ๊ณ ์กฐํŒŒ ๋ฐœ์ƒ์ •๋„ 10 3.2 ์ƒ์ฒœ์ด๋ณ€์••๊ธฐ๋ฅผ ์ด์šฉํ•œ DFE ์ •๋ฅ˜๊ธฐ 11 3.2.1 ์ƒ์ฒœ์ด๋ณ€์••๊ธฐ์˜ ๊ฐœ์š” 11 3.2.2 12ํŽ„์Šค ์ •๋ฅ˜ 12 3.2.3 18ํŽ„์Šค, 24ํŽ„์Šค ์ •๋ฅ˜ 14 3.2.4 ์ƒ์ฒœ์ด๋ณ€์••๊ธฐ๋ฅผ ์ด์šฉํ•œ DFE ์ •๋ฅ˜๊ธฐ์˜ ์ง๋ฅ˜์ถœ๋ ฅ๊ณผ ์ „์› ์ถœ๋ ฅ์ธก์˜ ๊ณ ์กฐํŒŒ ๋ฐœ์ƒ์ •๋„ 17 3.3 AFE ์ •๋ฅ˜๊ธฐ 18 3.3.1 AFE ์ •๋ฅ˜๊ธฐ์˜ ๊ตฌ์„ฑ 18 3.3.2 AFE ์ •๋ฅ˜๊ธฐ์˜ ํŠน์ง• 19 3.3.3 AFE ์ •๋ฅ˜๊ธฐ์˜ ์ง๋ฅ˜์ถœ๋ ฅ๊ณผ ์ „์› ์ถœ๋ ฅ์ธก์˜ ๊ณ ์กฐํŒŒ ๋ฐœ์ƒ์ •๋„ 23 3.4 ๊ธฐ์กด ์ •๋ฅ˜๊ธฐ์˜ ๊ณ ์กฐํŒŒ ๋น„๊ต 24 ์ œ 4 ์žฅ ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•˜๋Š” AFE ์ •๋ฅ˜๊ธฐ 26 4.1 AFE ์ •๋ฅ˜๊ธฐ์˜ ์ˆ˜ํ•™์  ๋ชจ๋ธ๋ง 26 4.2 ๊ฐœ์„ ๋œ ์ „์› ์ „์•• ์œ„์ƒ๊ฐ ์ œ์–ด๊ธฐ์˜ ์„ค๊ณ„ 27 4.2.1 ์ขŒํ‘œ์ถ• ๋ณ€ํ™˜ 27 4.2.2 ์ œ์•ˆํ•˜๋Š” ์œ„์ƒ๊ฐ ์ œ์–ด์˜ ๊ธฐ๋ณธ ์›๋ฆฌ 31 4.2.3 ๊ฐœ์„ ๋œ ์œ„์ƒ๊ฐ ์ œ์–ด๊ธฐ์˜ ์„ค๊ณ„ 34 4.3 ์†๋„๊ธฐ์ „๋ ฅ ์ „ํ–ฅ๋ณด์ƒ์„ ๊ฐ–๋Š” ์ „๋ฅ˜์ œ์–ด๊ธฐ ์„ค๊ณ„ 37 4.4 DC link๋‹จ ์ง๋ฅ˜ ์ถœ๋ ฅ์ „์•• ์ œ์–ด๊ธฐ 39 4.5 ์ œ์•ˆํ•˜๋Š” AFE ์ •๋ฅ˜๊ธฐ์˜ ์ „์ฒด ์ œ์–ดํšŒ๋กœ 40 ์ œ 5 ์žฅ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 42 5.1 ๊ธฐ์กด์˜ AFE ์ •๋ฅ˜๊ธฐ ์ถœ๋ ฅ 44 5.2 ์ œ์•ˆํ•˜๋Š” AFE ์ •๋ฅ˜๊ธฐ ์ถœ๋ ฅ 48 5.3 ์ œ์•ˆํ•˜๋Š” AFE ์ •๋ฅ˜๊ธฐ๋ฅผ ํ™œ์šฉํ•œ ์ „๊ธฐ์ถ”์ง„์‹œ์Šคํ…œ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 53 ์ œ 6 ์žฅ ๊ฒฐ ๋ก  59 ์ฐธ๊ณ ๋ฌธํ—Œ 61Maste

    Application of Modular Multilevel Converters (MMC) Using Phase-Shifted PWM and Selective Harmonic Elimination in Distribution Systems

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    Reducing the size and weight of a power electric system is a prodigious challenge to researchers as the development of the latest technologies emerge in the field of electrical engineering. A similar urge is there to develop a light-weight mobile power substation (MPS) to use in the electric power distribution systems during emergency conditions. This thesis proposes a power electronics based solution using the modular multilevel converter (MMC) topology to design the MPS system. The market-available power semiconductor devices are analyzed and suitable devices are selected to design the system. The phase-shifted pulse width modulation (PS-PWM) and selective harmonic elimination (SHE) switching algorithms are selected to modulate the MMC terminals. To validate the proposed techniques simulation files are built in MATLAB/SIMULINKTM. Simulation results are presented and analyzed to verify the theoretical claims. These simulation results prove the feasibility of designing the MPS system with the proposed techniques

    A Study on Sensorless Control of Low Speed Range for Induction Motor

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    In order to detect the speed of an induction motor, a speed detector such as an encoder has been mainly used in the rotor, but a sensorless speed control method without a speed detector has been widely studied due to constraints such as installation environment, reliability, and price. In addition, most sensorless vector controls show a relatively good control result in the high speed region, but show a tendency of deterioration of control characteristics in the low speed region. In this paper, we propose a new control system by combining indirect vector control using spatial vector modulation with sensorless speed control using AFE rectifier and current error compensation. The AFE method can control harmonics included in the input power by actively controlling the input current of the AC power, and have the characteristics of making power excellent quality by controlling the power factor of the input voltage and current. In the sensorless speed control method using current error compensation, a stator voltage is applied to reduce the stator current difference between the induction motor and the modified model so that the speed of the induction motor follows the speed of the model. It is a method controlling the speed of induction motors indirectly by making the current difference between the induction motor and the mathematical model close to zero without controlling the speed directly. In this paper, an improved space vector modulation method in which less harmonics are included in current and torque than conventional hysteresis control and triangular wave comparison modulation, switching cycle is reduced by 1/2 compared to conventional space vector modulation. And the computational structure is so simple that it can be easily implemented in low-cost controllers. In addition, this study focuses on the practicality of robustness against parameter variation and dynamic characteristics improvement from very low speed to low speed, which is a problem of the conventional sensorless speed control algorithm. In order to verify the applicability of the proposed algorithm and system, the response characteristics of the indirect vector control using the modified SVPWM using the AFE rectifier and the 2.2[kW] induction motor were analyzed through computer simulation and experiments. As a result, It is confirmed that the excellent input current is supplied and the speed response and load characteristics of the induction motor are excellent even in the extremely low speed range and the low speed range.|์œ ๋„์ „๋™๊ธฐ์˜ ์†๋„๋ฅผ ๊ฒ€์ถœํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํšŒ์ „์ž์— ์—”์ฝ”๋” ๋“ฑ์˜ ์†๋„ ๊ฒ€์ถœ๊ธฐ๊ฐ€ ์ฃผ๋กœ ์‚ฌ์šฉ๋˜์–ด ์™”์ง€๋งŒ ์„ค์น˜ํ™˜๊ฒฝ, ์‹ ๋ขฐ์„ฑ ๊ทธ๋ฆฌ๊ณ  ๊ฐ€๊ฒฉ ๋“ฑ์˜ ์ œ์•ฝ์œผ๋กœ ์ธํ•˜์—ฌ ์†๋„๊ฒ€์ถœ๊ธฐ๊ฐ€ ์—†๋Š” ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด ๋ฐฉ์‹์ด ํญ ๋„“๊ฒŒ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ, ๋Œ€๋ถ€๋ถ„์˜ ์„ผ์„œ๋ฆฌ์Šค ๋ฒกํ„ฐ์ œ์–ด๋Š” ๊ณ ์†์˜์—ญ์—์„œ ๋น„๊ต์  ์–‘ํ˜ธํ•œ ์ œ์–ด ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์ง€๋งŒ ์ €์†์˜์—ญ์—์„œ๋Š” ์ œ์–ดํŠน์„ฑ์ด ์ €ํ•˜ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์—ฌ ์ฃผ์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” AFE ์ •๋ฅ˜๊ธฐ์™€ ์ „๋ฅ˜์˜ค์ฐจ๋ณด์ƒ๋ฒ•์„ ์ด์šฉํ•œ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด๋ฒ•์— ๊ณต๊ฐ„๋ฒกํ„ฐ๋ณ€์กฐ๋ฐฉ์‹์„ ์ด์šฉํ•œ ๊ฐ„์ ‘๋ฒกํ„ฐ์ œ์–ด๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ์ œ์–ด์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. AFE ๋ฐฉ๋ฒ•์€ ๊ต๋ฅ˜์ „์›์˜ ์ž…๋ ฅ์ „๋ฅ˜๋ฅผ ๋Šฅ๋™์ ์œผ๋กœ ์ œ์–ดํ•˜์—ฌ ์ž…๋ ฅ ์ „์••๊ณผ ์ „๋ฅ˜์— ํฌํ•จ๋œ ๊ณ ์กฐํŒŒ๋ฅผ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ๊ณ  ์ž…๋ ฅ์ „์›์˜ ์—ญ๋ฅ ์„ ์ œ์–ดํ•˜์—ฌ ์ „๋ ฅ์˜ ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ํŠน์„ฑ์„ ๊ฐ€์ง„๋‹ค. ์ „๋ฅ˜์˜ค์ฐจ๋ณด์ƒ์— ์˜ํ•œ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด๋ฒ•์€ ์œ ๋„์ „๋™๊ธฐ์™€ ์ˆ˜์‹๋ชจ๋ธ์˜ ๊ณ ์ •์ž ์ „๋ฅ˜์ฐจ์ด๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๋ฐฉํ–ฅ์œผ๋กœ ๊ณ ์ •์ž ์ „์••์„ ์ธ๊ฐ€ํ•จ์œผ๋กœ์จ ์œ ๋„์ „๋™๊ธฐ์˜ ์†๋„๊ฐ€ ์„ค์ •์น˜์ธ ๋ชจ๋ธ์˜ ์†๋„๋ฅผ ์ถ”์ข…ํ•˜๋„๋ก ํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ์ง์ ‘ ์†๋„๋ฅผ ์ œ์–ดํ•˜์ง€ ์•Š๊ณ  ์‹ค์ œ ์œ ๋„์ „๋™๊ธฐ์™€ ์ˆ˜์‹๋ชจ๋ธ์˜ ์ „๋ฅ˜์ฐจ์ด๋ฅผ 0์— ๊ฐ€๊น๊ฒŒ ํ•จ์œผ๋กœ์จ ๊ฐ„์ ‘์ ์œผ๋กœ ์œ ๋„์ „๋™๊ธฐ์˜ ์†๋„๋ฅผ ์ œ์–ดํ•˜๋Š” ๋ฐฉ๋ฒ•์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ธฐ์กด์˜ ํžˆ์Šคํ…Œ๋ฆฌ์‹œ์Šค ์ œ์–ด์™€ ์‚ผ๊ฐํŒŒ ๋น„๊ต ๋ณ€์กฐ ๋ฐฉ์‹์— ๋น„ํ•˜์—ฌ ์ „๋ฅ˜์™€ ํ† ํฌ์— ํฌํ•จ๋œ ๊ณ ์กฐํŒŒ๊ฐ€ ์ ๊ณ  ๊ธฐ์กด์˜ ๊ณต๊ฐ„๋ฒกํ„ฐ๋ณ€์กฐ๋ฐฉ์‹๋ณด๋‹ค ์Šค์œ„์นญ ์ฃผ๊ธฐ๊ฐ€ 1/2๋กœ ๊ฐ์†Œํ•˜์—ฌ ์Šค์œ„์นญ ์†์‹ค์ด ๊ฐ์†Œ๋˜๋ฉฐ, ๊ณ„์‚ฐ์‹œ๊ฐ„์„ ํฌ๊ฒŒ ์ค„์ผ ์ˆ˜ ์žˆ์–ด ์—ฐ์‚ฐ ๊ตฌ์กฐ๊ฐ€ ๋งค์šฐ ๊ฐ„๋‹จํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ €๊ฐ€์˜ ์ œ์–ด๊ธฐ์—์„œ๋„ ์†์‰ฝ๊ฒŒ ๊ตฌํ˜„์ด ๊ฐ€๋Šฅํ•œ ๊ฐœ์„ ๋œ ๊ณต๊ฐ„๋ฒกํ„ฐ๋ณ€์กฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ์ „๋ฅ˜์ œ์–ด๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๊ธฐ์กด์˜ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๋ฌธ์ œ์ ์ธ ๊ทน์ €์†์—์„œ๋ถ€ํ„ฐ ์ €์†์˜์—ญ์— ์ด๋ฅด๊ธฐ๊นŒ์ง€์˜ ๋™ํŠน์„ฑ ๊ฐœ์„ ๊ณผ ํŒŒ๋ผ๋ฉ”ํƒ€ ๋ณ€๋™์— ๋Œ€ํ•ด์„œ๋„ ๊ฐ•์ธ์„ฑ์„ ๊ฐ€์ง€๋Š” ์‹ค์šฉ์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”์–ด ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์‹œ์Šคํ…œ์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด์„œ AFE ์ •๋ฅ˜๊ธฐ์™€ 2.2[kW] ์œ ๋„์ „๋™๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐœ์„ ๋œ SVPWM์„ ์ ์šฉํ•œ ๊ฐ„์ ‘๋ฒกํ„ฐ์ œ์–ด์˜ ์‘๋‹ตํŠน์„ฑ์„ ์ปดํ“จํ„ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๊ณ ์กฐํŒŒ๊ฐ€ ์ ์€ ์šฐ์ˆ˜ํ•œ ์ž…๋ ฅ์ „๋ฅ˜๊ฐ€ ๊ณต๊ธ‰๋˜์–ด ๊ทน์ €์†์˜์—ญ๊ณผ ์ €์†์˜์—ญ์—์„œ ์œ ๋„์ „๋™๊ธฐ์˜ ์†๋„์‘๋‹ต ๋ฐ ๋ถ€ํ•˜ํŠน์„ฑ์ด ์–‘ํ˜ธํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค.๋ชฉ ์ฐจ ๋ชฉ์ฐจ โ…ฐ ๊ทธ๋ฆผ๋ชฉ์ฐจ โ…ณ ํ‘œ๋ชฉ์ฐจ โ…ถ Abstract โ…ท ๊ธฐํ˜ธ ๋ฐ ์•ฝ์–ด โ…ป 1. ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ๋™ํ–ฅ 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  3 1.3 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 4 2. ์œ ๋„์ „๋™๊ธฐ ์ œ์–ด๋ฐฉ๋ฒ• 6 2.1 ์ง์ ‘ํ† ํฌ์ œ์–ด 6 2.1.1 ์ง์ ‘ํ† ํฌ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜ 6 2.1.2 ์ง์ ‘ํ† ํฌ์ œ์–ด์˜ ๊ธฐ๋ณธ ๊ฐœ๋…๊ณผ ์ด๋ก  8 2.2 ๋ฒกํ„ฐ์ œ์–ด 14 2.2.1 ์ง์ ‘๋ฒกํ„ฐ์ œ์–ด 15 2.2.2 ๊ฐ„์ ‘๋ฒกํ„ฐ์ œ์–ด 18 3. AFE ์ •๋ฅ˜๊ธฐ์™€ Inverter ์ „๋ฅ˜ ์ œ์–ด ๋ฐฉ์‹ 23 3.1 ํžˆ์Šคํ…Œ๋ฆฌ์‹œ์Šค ์ œ์–ด 23 3.2 ์‚ผ๊ฐํŒŒ ๋น„๊ต ์ „๋ฅ˜ ์ œ์–ด 26 3.3 ๊ณต๊ฐ„ ๋ฒกํ„ฐ ์ „์•• ๋ณ€์กฐ ๋ฐฉ์‹ 30 3.3.1 ๊ณต๊ฐ„ ๋ฒกํ„ฐ ๋ณ€์กฐ ๊ธฐ๋ฒ•์˜ ์›๋ฆฌ 32 3.3.2 ๋Œ€์นญ ๊ณต๊ฐ„ ๋ฒกํ„ฐ ๋ณ€์กฐ ๋ฐฉ์‹ 37 3.4 ๊ฐœ์„ ๋œ ๊ณต๊ฐ„ ๋ฒกํ„ฐ ์ „์•• ๋ณ€์กฐ ๋ฐฉ์‹ 41 3.4.1 ๊ณต๊ฐ„ ๋ฒกํ„ฐ ๋ณ€์กฐ ํŒจํ„ด 41 4. ์œ ๋„์ „๋™๊ธฐ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด ๋ฐฉ์‹ 49 4.1 ์†๋„์ถ”์ •๊ธฐ์— ์˜ํ•œ ๋ฐฉ์‹ 49 4.2 ๋ชจ๋ธ๊ธฐ์ค€์ ์‘์ œ์–ด์— ์˜ํ•œ ๋ฐฉ์‹ 51 4.3 ์‹ ๊ฒฝํšŒ๋กœ๋ง์„ ์ด์šฉํ•œ ๋ฐฉ์‹ 53 4.4 ๊ณ ์ฃผํŒŒ ์‹ ํ˜ธ์ฃผ์ž…์„ ์ด์šฉํ•œ ๋ฐฉ์‹ 57 4.5 ์นผ๋งŒํ•„ํ„ฐ๋ฅผ ์ด์šฉํ•œ ๋ฐฉ์‹ 60 4.6 ์Šฌ๋กฏ๊ณ ์กฐํŒŒ ๋ถ„์„์„ ์ด์šฉํ•œ ๋ฐฉ์‹ 62 4.7 ์ƒํƒœ๊ถคํ™˜ ์„ ํ˜•ํ™” ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ๋ฐฉ์‹ 64 4.8 ์œ ๋„์ „๋™๊ธฐ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด ๋ฐฉ์‹ ๋น„๊ต 69 5. ์ œ์•ˆํ•˜๋Š” ์ „๋ฅ˜์˜ค์ฐจ๋ณด์ƒ์— ์˜ํ•œ ์„ผ์„œ๋ฆฌ์Šค ์†๋„์ œ์–ด 71 5.1 ์ด๋ก ์  ๋ฐฐ๊ฒฝ 71 5.2 ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋ฐ ํŠน์ง• 78 6. ์ปดํ“จํ„ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 81 6.1 ์†๋„๊ฒ€์ถœ๊ธฐ๊ฐ€ ์žˆ๋Š” ์œ ๋„์ „๋™๊ธฐ ์†๋„์ œ์–ด 83 6.2 ์ œ์•ˆํ•˜๋Š” ์„ผ์„œ๋ฆฌ์Šค ์œ ๋„์ „๋™๊ธฐ ์†๋„์ œ์–ด 89 6.3 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๊ฒ€ํ†  96 7. ์‹คํ—˜์žฅ์น˜์˜ ๊ตฌ์„ฑ๊ณผ ์‹คํ—˜๊ฒฐ๊ณผ 97 7.1 ์ „๋ ฅ๋ณ€ํ™˜์‹œ์Šคํ…œ์˜ ์ œ์–ดํšŒ๋กœ ๊ตฌ์„ฑ 97 7.1.1 ๋งˆ์ดํฌ๋กœํ”„๋กœ์„ธ์„œ 98 7.1.2 ์ธํ„ฐํŽ˜์ด์Šค 99 7.1.3 ๊ฒŒ์ดํŠธ ๋“œ๋ผ์ด๋ธŒ 102 7.1.4 ๋ถ€ํ•˜ ์ธ๊ฐ€ ์žฅ์น˜ 104 7.2 ์‹คํ—˜๊ฒฐ๊ณผ ๋ฐ ๊ฒ€ํ†  104 8. ๊ฒฐ ๋ก  115 ์ฐธ๊ณ ๋ฌธํ—Œ 118Docto

    Low capacitance cascaded H-bridge StatCom

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    The application of Cascaded H-Bridge (CHB) multilevel converter StatCom is well established in the industry. In a conventional CHB StatCom, low frequency ripple on the dc side is limited to 10% by utilizing large capacitance. Having a smaller capaci-tance is advantageous because the system will be smaller, cheaper, and more reliable. However, reducing the capacitors will increase the rippleโ€™s magnitude and causes problems such as, control and filtering issues, and high voltage stress on the semicon-ductors. In this thesis, the next generation of CHB StatCom i.e. Low Capacitance StatCom (LC-StatCom) is developed which is able to operate with ripple magnitudes close to the theoretical limit (smallest capacitorsโ€™ size). A feed-forward filtering scheme is developed that is able to effectively filter out large ripples without imposing any delay to the control loop and facilitates design of higher bandwidth capacitorsโ€™ voltage controllers. A decoupling theory which outlines requirements for completely decoupling the individual capacitorsโ€™ voltage controller from the rest of the control system is introduced. The decoupled control system has a linear cluster capacitorsโ€™ voltage controller which is essential for operation of the LC-StatCom The proposed LC-StatCom utilizes this linearity to have a variable capacitorsโ€™ voltage reference in order to limit the maximum voltage stress on the semiconductors. The proposed LC-StatCom and innovative solutions are evaluated by simulation and experimental case studies. It is shown that the LC-StatCom can achieve 80% reduction in the capacitorsโ€™ size, improve current quality, and reduce the maximum voltage stress on the semiconductors com-pared to a conventional StatCom. The LC-StatCom has a reduced operating area in the inductive region compared to conventional StatComs. In this thesis, to overcome this drawback, a hybrid LC-StatCom that utilizes a series thyristor bypassed inductor is developed. The compensated LC-StatCom developed in this thesis, provides approxi-mately 75% reduction in overall energy storage capacity of passive components

    Enhanced decoupling current scheme with selective harmonic elimination pulse width modulation for cascaded multilevel inverter based static synchronous compensator

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    This dissertation is dedicated to a comprehensive study and performance analysis of the transformer-less Multilevel Cascaded H-bridge Inverter (MCHI) based STATic synchronous COMpensator (STATCOM). Among the shunt-connected Flexible AC Transmission System (FACTS) controllers, STATCOM has shown extensive feasibility and effectiveness in solving a wide range of power quality problems. By referring to the literature reviews, MCHI with separated DC capacitors is certainly the most versatile power inverter topology for STATCOM applications. However, due to the ill-defined transfer functions, complex control schemes and formulations were emerged to achieve a low-switching frequency high-bandwidth power control. As a result, adequate controller parameters were generally obtained by using trial and error method, which were practically ineffective and time-consuming. In this dissertation, the STATCOM is controlled to provide reactive power (VAR) compensation at the Point of Common Coupling (PCC) under different loading conditions. The goal of this work is to enhance the performance of the STATCOM with the associated proposed control scheme in achieving high dynamic response, improving transient performance, and producing high-quality output voltage waveform. To evaluate the superiority of the proposed control scheme, intensive simulation studies and numerous experiments are conducted accordingly, where a very good match between the simulation results and the experimental results is achieved in all cases and documented in this dissertation

    Model predictive control for advanced multilevel power converters in smart-grid applications

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    In the coming decades, electrical energy networks will gradually change from a traditional passive network into an active bidirectional one using concepts such as these associated with the smart grid. Power electronics will play an important role in these changes. The inherent ability to control power flow and respond to highly dynamic network will be vital. Modular power electronics structures which can be reconfigured for a variety of applications promote economies of scale and technical advantages such as redundancy. The control of the energy flow through these converters has been much researched over the last 20 years. This thesis presents novel control concepts for such a structure, focusing mainly on the control of a Cascaded H-Bridge converter, configured to function as a solid state substation. The work considers the derivation and application of Dead Beat and Model Predictive controllers for this application and scrutinises the technical advantages and potential application issues of these methodologies. Moreover an improvement to the standard Model Predictive Control algorithm that include an intrinsic modulation scheme inside the controller and named Modulated Model Predictive Control is introduced. Detailed technical work is supported by Matlab/Simulink model based simulations and validated by experimental work on two converter platforms, considering both ideal and non-ideal electrical network conditions

    Model predictive control for advanced multilevel power converters in smart-grid applications

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    In the coming decades, electrical energy networks will gradually change from a traditional passive network into an active bidirectional one using concepts such as these associated with the smart grid. Power electronics will play an important role in these changes. The inherent ability to control power flow and respond to highly dynamic network will be vital. Modular power electronics structures which can be reconfigured for a variety of applications promote economies of scale and technical advantages such as redundancy. The control of the energy flow through these converters has been much researched over the last 20 years. This thesis presents novel control concepts for such a structure, focusing mainly on the control of a Cascaded H-Bridge converter, configured to function as a solid state substation. The work considers the derivation and application of Dead Beat and Model Predictive controllers for this application and scrutinises the technical advantages and potential application issues of these methodologies. Moreover an improvement to the standard Model Predictive Control algorithm that include an intrinsic modulation scheme inside the controller and named Modulated Model Predictive Control is introduced. Detailed technical work is supported by Matlab/Simulink model based simulations and validated by experimental work on two converter platforms, considering both ideal and non-ideal electrical network conditions
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