10 research outputs found

    Passive Islanding Detection Technique for Integrated Distributed Generation at Zero Power Balanced Islanding

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    Renewable power generation systems have more advantages in the integrated power system compared to the generation due to fossil fuels because of their advantages like reliability and power quality. One of the important problems due to such renewable distributed generation (DG) system is an unintentional islanding. Islanding is caused if DG supplies power to load after disconnecting from the grid. As per the DG interconnection standards, it is required to detect the islanding within two seconds after islanding with the equipments connected to it. In this paper a new passive islanding detection method is presented for wind DG integrated power system with rate of change of positive sequence voltage (ROCOPSV) and rate of change of positive sequence current (ROCOPSC). The islanding is detected if both the values of ROCOPSV and ROCONSV are more than a predefined threshold value. The test system results carried on MATLAB shows the performance of the proposed method for various islanding and non islanding events with different power imbalances. The results conclude that, this method can detect islanding even at balanced islanding with zero non detection zone (NDZ)

    PWM Harmonic Signature Based Islanding Detection for a Single-Phase Inverter with PWM Frequency Hopping

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    Distributed generation (DG) has gained popularity in recent years due to the increasing requirement for renewable power sources. A problem that exists with DG systems is the islanding of DG units that creates safety issues for personnel as well as the potential for damage to utility infrastructure. Therefore, islanding detection methods are utilized to mitigate the risk of islanded operation of DG units. A new passive method of islanding detection based on the signature of the PWM voltage harmonics is proposed. The viability of the algorithm is investigated with the use of an analytical and time domain model of the inverter and further validated with experimental results. Furthermore, an extension of the detection scheme is proposed for use in multiinverter scenarios composed of adaptive frequency hopping to eliminate unwanted tripping

    Reconfigurable control scheme for a PV microinverter working in both grid connected and island modes

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    In this paper, a photovoltaic (PV) microinverter capable of operating in both island mode and grid-connected mode by means of a reconfigurable control scheme is proposed. The main advantage of control reconfiguration is that in grid-connected mode, the microinverter works as a current source in phase with the grid voltage, injecting power to the grid. This is the operation mode of most commercial grid-connected PV microinverters. The idea is to provide those microinverters with the additional functionality of working in island mode without changing their control algorithms for grid-connected mode, which were developed and refined over time. It is proposed that in island mode, the microinverter control is reconfigured to work as a voltage source using droop schemes. These schemes consist in implementing P/Q strategies in the inverters, in order to properly share the power delivered to the loads. The aim of the paper is to show that the proposed control reconfiguration is possible without dangerous transients for the microinverter or the loads. Simulation and experimental results on an 180-W PV microinverter are provided to show the feasibility of the proposed control strategy.This work was supported by the Spanish Ministry of Science and Innovation under Grant ENE2009-13998-C02-02.Trujillo Rodrรญguez, CL.; Velasco De La Fuente, D.; Garcerรก, G.; Figueres Amorรณs, E.; Guacaneme Moreno, JA. (2012). Reconfigurable control scheme for a PV microinverter working in both grid connected and island modes. IEEE Transactions on Industrial Electronics. 59:101-111. https://doi.org/10.1109/TIE.2011.2177615S1011115

    An islanding detection method for multi-DG systems based on high-frequency impedance estimation

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    Active islanding detection methods are generally employed for grid-connected inverter-based Distributed Generation (DG). However, there might be mutual influences and power quality issues caused by the disturbance signal when multiple inverters are involved. To address those problems, this paper analyzes the potential failure mechanism of the f-Q (frequency-reactive power) drifting active method in multiple-DG situations. Then, a novel high frequency transient injection based islanding detection method that is suitable for both single and multiple-DGs is proposed. Compared with the conventional injection methods, a high frequency impedance model for DG is provided for better theoretical analysis. By means of the intermittent Time Domain Low Voltage Condition (TDLVC) injection control, this method can achieve good accuracy and reduce disturbances to power system

    An Islanding Detection Method for Micro-Grids With Grid-Connected and Islanded Capability

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    With the increasing prevalence of renewable energy and distributed generation (DG) in distribution systems, micro-grids are becoming more popular and an attractive option for enhancing system operation and reliability. This can be attributed to the micro-grid ability to operate in both connected and disconnected modes. Equally important, micro-grids are the best solution to meet the increasing demand of electric power in a cost effective manner due to the close proximity to the load demand and thus minimizing system losses. Islanding detection methods have been proposed for inverter based distributed generation with only grid-connected capability. Micro-grids are composed of DGs that are capable of operating in two modes: grid connected and islanded. This thesis introduces and proposes the concept of micro-grid transition detection where the status of the micro-grid is detected based on adaptively modifying the droop slope. The droop coefficient is chosen such that the micro-grid is stable while grid connected and in the contrary Unstable once an islanded micro-grid operation is initiated. The droop coefficient is adaptively modified, once the micro-grid transitions from grid-connected to islanded operation, to stabilize the micro-grid for the islanded mode of operation. The proposed method is capable of detecting micro-grid transition in less than 600 ms under various active and reactive power mismatches. The proposed micro-grid transition detection method is tested on a micro-grid equipped with inverter based DGs controlled using the droop approach. The main objective of this thesis is to develop a novel islanding detection method for micro-grids with grid connected and islanded capability. A micro-grid model was developed using power system computer aided design/ electromagnetic transient and DC (PSCAD/EMTDC) as a platform for testing the proposed method. Simulation results were conducted considering the Institute of Electrical and Electronics Engineers Standard 1547(IEEE Std. 1547) standard islanding detection testing procedure

    Review on Control of DC Microgrids and Multiple Microgrid Clusters

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    This paper performs an extensive review on control schemes and architectures applied to dc microgrids (MGs). It covers multilayer hierarchical control schemes, coordinated control strategies, plug-and-play operations, stability and active damping aspects, as well as nonlinear control algorithms. Islanding detection, protection, and MG clusters control are also briefly summarized. All the mentioned issues are discussed with the goal of providing control design guidelines for dc MGs. The future research challenges, from the authors' point of view, are also provided in the final concluding part

    New Islanding Detection Method for Inverter-Based Distributed Generation Considering Its Switching Frequency

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    Islanding Detection and Seamless Transfer for Grid-connected PWM Converters of Distributed Generation Units

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2015. 2. ์„ค์Šน๊ธฐ.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ถ„์‚ฐ ์ „์›์šฉ ๊ณ„ํ†ต ์—ฐ๊ณ„ํ˜• ์ปจ๋ฒ„ํ„ฐ์˜ ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ ๋ฐ ๋ฌด์ˆœ๋‹จ ์ ˆํ™˜์„ ์œ„ํ•œ ์ œ์–ด ๋ฐฉ์‹์— ๋Œ€ํ•ด ๋‹ค๋ฃฌ๋‹ค. ๋ถ„์‚ฐํ˜• ์ „์›์€ ๊ธฐ์กด์˜ ํ™”์„ ์—ฐ๋ฃŒ๋ฅผ ๋Œ€์ฒดํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์—๋„ˆ์ง€์›์ธ ์‹ ์žฌ์ƒ ์—๋„ˆ์ง€๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜์—ฌ ์†Œ๊ทœ๋ชจ๋กœ ์ „๋ ฅ ์†Œ๋น„ ์ง€์—ญ ๋ถ€๊ทผ์— ๋ฐฐ์น˜ ๊ฐ€๋Šฅํ•œ ์ „์›์œผ๋กœ์จ ์›๊ฑฐ๋ฆฌ ์ „๋ ฅ ์ „์†ก์— ๋”ฐ๋ฅธ ์†์‹ค์„ ๊ฐ์†Œ ์‹œํ‚ค๊ณ  ๊ธฐ์กด์˜ ๊ณ„ํ†ต ๊ฐœ๋ฐœ ๋น„์šฉ์„ ์ €๊ฐ ์‹œํ‚ค๋ฉฐ ๊ณ„ํ†ต ์‹ ๋ขฐ์„ฑ ๋ฐ ์ „๋ ฅ ํ’ˆ์งˆ ํ–ฅ์ƒ ๋“ฑ์˜ ์žฅ์ ์„ ๊ฐ€์ง„ ๋ฏธ๋ž˜์˜ ๋ฐฐ์ „ ๊ณ„ํ†ต ๊ตฌ์„ฑ ์š”์†Œ์ด๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ๋ถ„์‚ฐํ˜• ์ „์›์˜ ํŠน์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๊ธฐ์กด ๊ณ„ํ†ต๊ณผ์˜ ์—ฐ๊ณ„ ์šด์šฉ์— ์žˆ์–ด์„œ๋Š” ํ•ด๊ฒฐํ•ด์•ผ ํ•  ๊ธฐ์ˆ ์ ์ธ ๋ฌธ์ œ๋“ค์ด ๋งŽ์ด ๋‚จ์•„ ์žˆ๋‹ค. ๊ทธ ๊ฐ€์šด๋ฐ์—๋Š” ๋ถ„์‚ฐํ˜• ์ „์›์˜ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „์„ ๋‹ด๋‹นํ•˜๋Š” ์ปจ๋ฒ„ํ„ฐ์˜ ์ œ์–ด ๊ธฐ์ˆ ์ด ์ž๋ฆฌ ์žก๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ปจ๋ฒ„ํ„ฐ์˜ ์šด์ „ ๊ธฐ์ˆ  ์ค‘์—์„œ ๊ฐ€์žฅ ํŠน์ง•์ ์ธ ์„ฑ๋Šฅ ์ค‘์˜ ํ•˜๋‚˜๋Š” ๊ณ„ํ†ต์œผ๋กœ๋ถ€ํ„ฐ ๋ถ„๋ฆฌ๋œ ์ƒํƒœ์—์„œ๋„ ์šด์ „ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์ฆ‰, ๋ถ„์‚ฐํ˜• ์ „์›์ด ๋ถ€ํ•˜์— ์ถฉ๋ถ„ํ•œ ์ „๋ ฅ์„ ๊ณต๊ธ‰ํ•  ์ˆ˜ ์žˆ์„ ์ •๋„์˜ ๋ฐœ์ „์–‘์„ ๊ฐ€์ง€๊ณ  ์žˆ์„ ๋•Œ์—๋Š”, ๊ณ„ํ†ต์— ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜๋”๋ผ๋„ ๋…๋ฆฝ์ ์ธ ์šด์ „์ด ๊ฐ€๋Šฅํ•˜์—ฌ ํšจ๊ณผ์ ์œผ๋กœ ๋ถ€ํ•˜์˜ ์ „์› ํ’ˆ์งˆ์„ ๋ณด์žฅํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ตœ๊ทผ์—๋Š” ์ด์™€ ๊ฐ™์€ ๋ถ„์‚ฐํ˜• ์ „์›์˜ ์žฅ์ ์„ ์ ๊ทน์ ์œผ๋กœ ํ™œ์šฉํ•˜๊ณ  ์ˆ˜์šฉํ•˜๊ธฐ ์œ„ํ•ด ์ปจ๋ฒ„ํ„ฐ์˜ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „๊ณผ ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์— ๋Œ€ํ•ด ํ™œ๋ฐœํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ํ†ต์ƒ์ ์œผ๋กœ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „์—์„œ๋Š” ๋ถ„์‚ฐํ˜• ์ „์›์˜ ๋ฐœ์ „์–‘์„ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ปจ๋ฒ„ํ„ฐ๋Š” ์ „๋ฅ˜ ์ œ์–ด ๋ชจ๋“œ๋กœ ๊ตฌ๋™ํ•˜๊ณ , ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์—์„œ๋Š” ์ค‘์š” ๋ถ€ํ•˜์— ์ผ์ • ํ’ˆ์งˆ ์ด์ƒ์˜ ์ „์›์„ ๊ณต๊ธ‰ํ•˜๊ธฐ ์œ„ํ•ด ์ „์•• ์ œ์–ด ๋ชจ๋“œ๋กœ ๋™์ž‘ํ•œ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ๋‘ ๊ฐ€์ง€์˜ ์šด์ „ ๋ชจ๋“œ ์‚ฌ์ด์˜ ์ „ํ™˜ ๊ณผ์ •์—์„œ๋Š” ๋ถ€ํ•˜ ์ „์••์— ๊ณผ๋„ ์ƒํƒœ๊ฐ€ ๋ฐœ์ƒํ•˜๊ฑฐ๋‚˜ ๊ณ„ํ†ต ํ˜น์€ ์ปจ๋ฒ„ํ„ฐ์— ์ •๊ฒฉ ํฌ๊ธฐ ์ด์ƒ์˜ ๋Œ์ž… ์ „๋ฅ˜๊ฐ€ ํ๋ฅผ ์œ„ํ—˜์ด ์กด์žฌํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๋ถ„์‚ฐํ˜• ์ „์›์˜ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „๊ณผ ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „ ์‚ฌ์ด์˜ ์ „ํ™˜์„ ๋ถ€๋“œ๋Ÿฝ๊ฒŒ ์ด์–ด์ฃผ๋Š” ์ปจ๋ฒ„ํ„ฐ์˜ ๋ฌด์ˆœ๋‹จ(Seamless) ์ ˆํ™˜ ์„ฑ๋Šฅ์ด ๋งค์šฐ ์ค‘์š”ํ•œ ๋ฌธ์ œ๋กœ ์ธ์‹๋˜๊ณ  ์žˆ๋‹ค. ๋ถ„์‚ฐํ˜• ์ „์›์ด ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์œผ๋กœ ์ „ํ™˜๋˜๋Š” ๊ฒฝ์šฐ๋Š” ํฌ๊ฒŒ ๋‘ ๊ฐ€์ง€๋กœ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๋‹ค. ์ฒซ๋ฒˆ์งธ๋Š” ์ง€๋ฝ ์‚ฌ๊ณ (Ground fault)์™€ ๊ฐ™์€ ์†ก๋ฐฐ์ „ ๊ณ„ํ†ต์—์„œ์˜ ์‚ฌ๊ณ ์— ์˜ํ•ด ๊ณ„ํ†ต ์ „์›์˜ ํ’ˆ์งˆ์ด ์ €ํ•˜๋˜์–ด ๋ถ„์‚ฐํ˜• ์ „์› ์‹œ์Šคํ…œ์ด ์Šค์Šค๋กœ ๊ณ„ํ†ต๊ณผ ์ฐจ๋‹จํ•œ ํ›„ ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฒฝ์šฐ์ด๋ฉฐ ๋‘๋ฒˆ์งธ๋Š” ๊ณ„ํ†ต๋‹จ์˜ ์ˆ˜๋ฆฌ ๋ฐ ์ ๊ฒ€ ๋“ฑ์˜ ์ด์œ ๋กœ ๋‹จ๋… ์šด์ „(Islanding)์ด ๋ฐœ์ƒํ•˜๊ฒŒ ๋˜์–ด ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฒฝ์šฐ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋‘ ๊ฐ€์ง€ ๊ฒฝ์šฐ์— ๋Œ€ํ•˜์—ฌ, ์ค‘์š” ๋ถ€ํ•˜์˜ ์•ˆ์ •์ ์ธ ์ „์› ์ˆ˜๊ธ‰์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ๋ฌด์ˆœ๋‹จ ์ ˆํ™˜ ์ „๋žต์ด ์š”๊ตฌ๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ ์„ฑ๋Šฅ์„ ํฌํ•จํ•˜์—ฌ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „ ๋ชจ๋“œ์™€ ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์˜ ๋ถ€๋“œ๋Ÿฌ์šด ์ „ํ™˜ ์ œ์–ด ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆ๋œ ๋ฌด์ˆœ๋‹จ ์ ˆํ™˜ ์ „๋žต์˜ ์„ฑ๋Šฅ์„ 5kW ์šฉ๋Ÿ‰์˜ ์ „๋ ฅ ๋ณ€ํ™˜ ์žฅ์น˜ 2๋Œ€์™€ ์—๋„ˆ์ง€ ์ €์žฅ ์žฅ์น˜(Energy Storage System, ESS)๋ฅผ ์ด์šฉํ•œ ์‹คํ—˜์„ ํ†ตํ•ด ๊ฒ€์ฆํ•˜์˜€๋‹ค.์ดˆ๋ก i ๋ชฉ์ฐจ iii ์ œ 1 ์žฅ ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ ๋ชฉํ‘œ 3 1.3 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 7 ์ œ 2 ์žฅ ๊ณ„ํ†ต ์—ฐ๊ณ„ํ˜• ์ปจ๋ฒ„ํ„ฐ์˜ ์ „๋ฅ˜ ์ œ์–ด โ€“ LCL ํ•„ํ„ฐ์˜ ๋Šฅ๋™ ๋Œํ•‘ ์ œ์–ด 9 2.1 ์‹œ์Šคํ…œ ๊ตฌ์„ฑ ๋ฐ ๋ชจ๋ธ๋ง 10 2.2 ์ „๋ฅ˜ ์ œ์–ด๊ธฐ ์„ค๊ณ„ 11 2.3 ๊ธฐ์กด์˜ LCL ํ•„ํ„ฐ์˜ ๊ณต์ง„ ์–ต์ œ ๋ฐฉ์‹ 14 2.3.1 ๊ธฐ์กด์˜ ์ˆ˜๋™ ๋Œํ•‘ ๋ฐฉ๋ฒ• 15 2.3.2 ๊ธฐ์กด์˜ ๋Šฅ๋™ ๋Œํ•‘ ๋ฐฉ๋ฒ• 19 2.4 ์ œ์•ˆ๋œ LCL ํ•„ํ„ฐ์˜ ๊ณต์ง„ ์–ต์ œ ๋ฐฉ์‹ 21 2.5 ์‹คํ—˜ ๊ฒฐ๊ณผ 28 ์ œ 3 ์žฅ ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ 37 3.1 ๋‹จ๋… ์šด์ „ ์‹œํ—˜ ํšŒ๋กœ 39 3.2 ๊ธฐ์กด์˜ ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ ๋ฐฉ์‹ 42 3.2.1 ์ง์ ‘ ๊ฒ€์ถœ ๋ฐฉ์‹ 43 3.2.2 ๊ฐ„์ ‘ ๊ฒ€์ถœ ๋ฐฉ์‹ 45 3.3 ์ œ์•ˆ๋œ ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ ๋ฐฉ์‹ 73 3.3.1 ๋ถ€ํ•˜ ์กฐ๊ฑด 76 3.3.2 ์ฃผ์ž…ํ•  ๋ฌดํšจ ์ „๋ ฅ ์„ค๊ณ„ 92 3.4 ์‹คํ—˜ ๊ฒฐ๊ณผ 105 3.4.1 ๋ถ€ํ•˜ ์‹œํ—˜ 106 3.4.2 ๋‹จ๋… ์šด์ „ ๊ฒ€์ถœ ์‹œํ—˜ 108 ์ œ 4 ์žฅ ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „๊ณผ ๊ณ„ํ†ต ๋ถ„๋ฆฌ ์šด์ „์˜ ๋ฌด์ˆœ๋‹จ ์ ˆํ™˜ 120 4.1 ๊ธฐ์กด์˜ ์šด์ „ ๋ชจ๋“œ ์ ˆํ™˜ ๋ฐฉ์‹ 122 4.2 ์ œ์•ˆ๋œ ์ž๋ฆฝ ์šด์ „์œผ๋กœ์˜ ์ „ํ™˜ ๋ฐฉ์‹ 128 4.2.1 ์ „์•• ์ œ์–ด๊ธฐ ๊ตฌ์„ฑ 128 4.2.2 ์ „์•• ์ œ์–ด๊ธฐ ์„ค๊ณ„ 130 4.2.3 ์ „์•• ์ œ์–ด๊ธฐ ์ „ํ–ฅ ๋ณด์ƒ 134 4.3 ์ œ์•ˆ๋œ ๊ณ„ํ†ต ์žฌ๋ณ‘์ž… ๋ฐฉ์‹ 135 4.4 ์‹คํ—˜ ๊ฒฐ๊ณผ 137 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 150 5.1 ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 150 5.2 ํ–ฅํ›„ ๊ณผ์ œ 153 ๋ถ€๋ก A. ๋ถ„์‚ฐํ˜• ์ „์› ๊ด€๋ จ ๊ธฐ์ˆ  ๋ฐ ์—ฐ๊ณ„ ์‚ฌํ•ญ 155 A.1 ์ค‘์š” ์šฉ์–ด ์ •๋ฆฌ 155 A.2 ๊ธฐ์ˆ  ์š”๊ฑด ์„ธ๋ถ€ ์‚ฌํ•ญ 159 A.2.1 ๊ณ„ํ†ต ์—ฐ๊ณ„ ์šด์ „ 159 A.2.2 ๋‹จ๋… ์šด์ „ 161 A.2.3 ์ž๋ฆฝ ์šด์ „ 162 ์ฐธ๊ณ  ๋ฌธํ—Œ 165 Abstract 174Docto

    Design and Control of On-board Bidirectional Battery Chargers with Islanding Detection for Electric Vehicle Applications

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    Electric vehicles have gained popularity over the last decade due to concerns regarding climate change as well as depleting fossil fuel reserves. One of the important components of electric vehicles is the battery charging system that has been the focus of recent research interest in terms of vehicle to grid (V2G) power transfer with the aim of providing peak load levelling for the grid as well as a buffer for excess renewable energy. The research addressed in this thesis is focused on single-phase on- board bidirectional chargers for electric vehicle applications where emphasis is given to the design, control and islanding detection aspects. A comparative study between a low frequency transformer based and high frequency DAB based bidirectional charging system is carried out and the weight, cost and efficiency between the two topologies compared. An optimised LCL filter design method for the two converters is presented which characterises the high frequency current ripple as well as the losses in the damping resistor. Controller design, simulation and experimental validation of the two converters are also presented. The impact of 3rd harmonics on the performance of second order generalised integrator (SOGI) phase locked loops (PLLs) is investigated through an analytical method to predict the resulting output harmonic magnitudes. Two modified SOGI PLLs are presented where the harmonic rejection performance has been improved. A new PLL structure based on the novel IIR filter proposed by Ed Daw et al. is investigated for application in grid converters. The new PLL is evaluated with hardware-in-the-loop (HIL) simulations for transient and abnormal grid conditions and compared with the SOGI PLL for performance evaluation as well as computational requirements. The new PLL is validated in bidirectional charger hardware. A new islanding detection algorithm based on the detection of high frequency switching harmonic signature with frequency hopping is presented which has the advantage of multi-inverter compatibility. The difficulty in detection for PWM harmonic based methods when capacitive loads are present is analysed. Furthermore, the algorithm is validated in hardware
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