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D-PMU 데이터를 이용한 DCGAN 기반 실시간 배전계통 이벤트 감지기법 DCGAN based Event Detection Scheme Using D-PMU Data in Distribution Systems

https://doi.org/10.5370/KIEE.2022.71.4.555

양준혁(June-Hyuck Yang) ; 김태근(Tae-Geun Kim) ; 윤성국(Sung-Guk Yoon)

Distribution-phasor measurement units (D-PMUs) measuring magnitude and phasor angle with high resolution make detailed observations of the distribution system. In this paper, we propose a deep convolutional generative adversarial networks (DCGAN) base event detection method using D-PMU data. GAN is trained through the adversarial process of two models: generator and discriminator. This process helps the discriminator train well without much training data. Also, DCGAN has convolutional layers for better event recognition. After training the proposed DCGAN model using labeled D-PMU data, we use the discriminator to identify distribution system events. The target events to detect are voltage dip, over-voltage, harmonic, and transient. Through a case study with real data from two D-PMUs installed at Soongsil university, the detection performance of the proposed detection method is verified. It is confirmed that the proposed method shows a good detection performance compared to other schemes.

Matlab-OpenDSS 연계 모의를 이용한 배전 계통의 스마트 인버터 전압 제어 방안 연구 A Study on Voltage Control Method of Smart Inverter using Matlab-OpenDSS Co-Simulation on Distribution Networks

https://doi.org/10.5370/KIEE.2022.71.4.566

권동영(Dong-Yeong Gwon) ; 최윤혁(Yun-Hyuk Choi) ; 심준보(Jun-Bo Sim)

PV Generator at the end of the distribution line affects the direction of the line current and causes voltage increase. Various DER outputs connected to the distribution system have different control characteristics for each connection point. The DER connection point can greatly influence the inverter function and parameter settings. The smart inverter model presented in this paper is a model of simultaneously considering voltage stability of DER linked distribution systems and analyzed at PCC with Matlab-COM. The PCC Voltage when finally stabilized after using Volt-Var function can be adjusted more when there is a margin for the reactive power output. Dynamic Voltage Error Compensation (DVEC) algorithm presented in this paper that automatically refers volt-var curve and measured moving average voltage and finally compensate reactive power output of smart inverter.

ESS 연계형 태양광발전 예측오차에 따른 용량요금 지급을 고려한 수익 최적화 방안 연구: 국내 ESS 연계형 태양광발전 사례를 중심으로 Profit Maximization Strategy Considering the Capacity Payment to a Photovoltaic Power Plant with an Energy Storage System According to the Forecast Error: Focusing on Korean Case

https://doi.org/10.5370/KIEE.2022.71.4.574

고웅(Woong Ko) ; 최형진(Hyeong-Jin Choi)

Distributed energy resources can be aggregated for the purpose of enhancing the visibility in distribution grids and trading power on electricity markets. Although aggregated resources can bid their available capacity into the market in a similar way to conventional generators, their available capacity has low reliability due to uncertainty of these resources. Adequate policies for aggregated resources are needed to support investment in distributed energy industries and to manage the electricity market risk resulted in the unreliable capacity. In this study, we propose a profit maximization strategy for a photovoltaic power plant with an energy storage system. The electricity market model considers the electricity market design for aggregated resources in South Korea. The penalties for forecast error are proposed to mitigate imbalances of the available capacity. The effects of proposed method are evaluated in comparison with the conventional settlement process of aggregated resources

한국 전력시스템의 240시간 전력수요예측에 대한 딥러닝 모델과 학습기법 A Deep Learning Model and Training Technique for 240 Hours Load Forecasting in Korea Power System

https://doi.org/10.5370/KIEE.2022.71.4.585

문찬호(Chan-Ho Moon) ; 권보성(Bo-Sung Kwon) ; 송경빈(Kyung-Bin Song)

It is essential to forecast 240 hours load accurately for stable power system operation in South Korea. Training technique for 240 hours load forecasting using deep learning is proposed. Suitable training technique for 240 hours load forecasting is developed using deep learning model. The 240 hours load forecasting method is proposed applying training technique which consists of two different types for weather prediction. According to usable weather factors depending on forecast ranges, training technique is designed by reflecting time intervals between forecasting time and forecasting target. The proposed method has improved prediction accuracy compared to the existing exponential weighted moving average method

Co-firing의 위험분석 및 완화방안: 인도네시아 사례로부터 Risk Analysis and Mitigation Measures of Co-firing : Case Study from Indonesia

https://doi.org/10.5370/KIEE.2022.71.4.592

프리다 어니 케슈마(Prida Erni Kesuma) ; 윤용범(Yong-Beum Yoon) ; 박수진(Soo-Jin Park)

The co-firing program initiative in Indonesia involves mixing a portion of biomass into the coal that is being used for the operation of coal power plants. It is expected that biomass will replace 10% of the coal that currently is being used by 2025. Through robust risk analysis and appropriate mitigation plans, all of the challenges and obstacles that are encountered should be overcome, thereby achieving the desired goals of the renewable policy. This research assesses the risk of co-firing based on the empirical data of the coal powered plants in Indonesia. The two extreme risk factors of co-firing are identified as the discontinuous supply of the required volume of biomass and the low quality of the available biomass. The remaining risk factors, which are classified as moderate, are the technical efficiency, reliability, the cost of the fuel, environmental impact, the management of the Fly Ash Bottom Ash (FABA), and the decreasing quality of the biomass. We found that the greatest challenge in implementing co-firing power plants is not their technical readiness; rather, it is the development of the supply channel, using the advantage of the abundant local biomass potential. As such, risk mitigation measures are needed to sustain the supply of biomass for the long term and to ensure that the biomass is available at a competitive price to ensure that electricity can be supplied at an acceptable price

한국 전력시장에서 실시간 시장가격 제도가 소비자 잉여에 미치는 영향에 관한 연구 A Study on the Effect of Real-Time Pricing on the Consumer Surplus in the Korean Electricity Markets

https://doi.org/10.5370/KIEE.2022.71.4.608

조강욱(Kang-wook Cho) ; 조성봉(Sung Bong Cho)

Real-time pricing of electricity ensures that market equilibrium is achieved by both consumers and generators. In this study, the effect of real-time pricing on consumer surplus was analyzed in the context of Korean electricity markets by using the model proposed by Borenstein and Holland[3]. In addition, the authors analyzed the impact of emission cap on consumer surplus. Real-time pricing was shown to affect the composition of generation capacities. It increased the change in consumer surplus up to 7.12% compared to the reference electricity bill. When the cap of 95% of the reference emission was applied, the change in consumer surplus decreased on average by 0.58%. In the study, it is suggested that the implementation of real-time pricing and the investment to increase the price elasticity are necessary to improve consumer surplus.

리스크 기반 최적 조류 계산을 통한 도시형 전력네트워크의 리스크 관리 Risk Management of Urban Level Power Network by Risk based Optimal Power Flow

https://doi.org/10.5370/KIEE.2022.71.4.617

이용래(Yong-Rae Lee) ; 김문겸(Mun-Kyeom Kim)

Due to problems such as fossil fuel depletion and climate change, research on microgrids is being actively conducted. Among them, the urban power network, in which multiple microgrids are connected, is regarded as the future power grid. However, these urban power network systems ensure that the output of renewable power is uncertain according to weather factors, and that the characteristics of intermittent are present as a risk in power network stability. This study analyzed the stability according to climate change scenarios and contingencies through an urban level power network test system in which several local level networks are connected. The power data between local level networks through the consensus algorithm was expressed as a risk index using risk based optimal power flow (RBOPF) and demonstrated superiority compared to the existing security constrained optimal power flow (SCOPF).

스마트 인버터의 자율적인 Volt-VAR 곡선 변경을 통한 연계점 전압의 안정화 PCC Voltage Stabilization using an Autonomous Volt-VAR Curve Change in Smart Inverters

https://doi.org/10.5370/KIEE.2022.71.4.625

차지윤(Jee-Yoon Cha) ; 김현진(Hyeonjin Kim) ; 맹창엽(Changyeop Maeng) ; 이교범(Kyo-Beum Lee)

This paper proposes a method of stabilizing a point of common coupling (PCC) voltage using an autonomous Volt-VAR curve change in smart inverters. When the interconnection capacity of distributed energy resources rapidly increases, the problem of a reverse power flow occurs and the PCC voltage becomes unstable. The smart inverter which is a grid-connected inverter for distributed energy resources performs Volt-VAR control in oder to stabilize the unstable PCC voltage. The smart inverter autonomously changes the Volt-VAR curve according to the PCC voltage. The smart inverter uses Volt-VAR curve with a larger slope if the PCC voltage is not stabilized when the Volt-VAR curve with a small slop is used. The Volt-VAR curve is maintained if the PCC voltage is stabilized using the Volt-VAR curve. The validity of the proposed method is verified by the simulation results and experimental results

유도 부하에 적합한 넓은 입력 전압 범위와 높은 역률의 2단 AC-AC 컨버터 설계 Design of Wide Input Voltage Range and High PF Two-Stage AC-AC Converter Suitable for Inductive Loads

https://doi.org/10.5370/KIEE.2022.71.4.632

아메드하싼오킬리(Ahmed H. Okilly) ; 백제훈(Jeihoon Baek)

In this paper, a two-stage AC-AC power supply is designed to specifically handle the operation and performance improvements of the power system with highly inductive loads. The proposed power supply scheme includes an input interleaved power factor correction (PFC) stage to improve the input power factor (PF) and regulate the DC bus voltage required for the second stage, which is a voltage source inverter (VSI) with an output low pass filter to adjust the load harmonics contents and regulate the load voltage and frequency to the specified AC load values. The small-signal models of the PFC and VSI stages are obtained, and optimal voltage and current control loops for both stages are designed based on the obtained models to improve the required system power performance and stability. PSIM simulation is used to examine the performance of the proposed power supply under various input-output operation conditions. This work achieves a 500VA, (180-260)V RMS Power supply with an input PF of 99%, better output voltage regulation, and a lower THD value for the purpose of supplying industrial inductive loads.

운전사이클을 고려한 전기자동차용 권선절체모터의 권선수 최적화 연구 Optimization of Stator Winding Turn Numbers for EV Tap-Change PMSM According to Driving Cycles

https://doi.org/10.5370/KIEE.2022.71.4.642

임성환(Seong-Hwan Im) ; 구본관(Bon-Gwan Gu) ; 임종경(Jong-Kyong Lim) ; 김래영(Rae-Young Kim)

Driving cycles are used to test the fuel economy and driving range of the electric vehicle propulsion motor and inverter on dynamometer. For a longer driving range, the propulsion motor and inverter need high efficiency at the driving cycle’s frequent speed and torque points. In this paper, tap-change PMSM (Permanent Magent Synchronous Motor) is studied as an electric vehicle propulsion motor for a better efficiency with two driving cycles: UDDS and HWFET. They have different high energy demand drive speeds which are 3krpm and 7krpm. With energized stator winding selection, tap-change motor high efficient regions can be adjusted to the each high energy demand drive points of UDDS and HWFET. Thus the designed tap-changes PMSM winding turn numbers are selected to minimize the motor copper loss and inverter loss at both driving cycles high energy demand drive speeds. The designed tap-change motor is implemented by rewinding a mass produced PMSM for a electric vehicle. By comparison experimental results of the motor and inverter loss with the mass produced PMSM, the designed tap-change one has a 1.63% energy efficiency improvement according to combined driving cycles.

고전압 변압기 자성재료 적층 형태를 이용한 에너지 효율 향상 Improving the Energy Efficiency Using Magnetic Materials Lamination Type of High Voltage Transformer

https://doi.org/10.5370/KIEE.2022.71.4.650

김부건(Bu-Geon Kim) ; 박승혁(Seung-Hyuk Park) ; 김진규(Jin-Gyu Kim)

We constructed the high voltage transformer for driving a S-band RF source that confirm explosives materials. For designing a fast rise time and high energy efficiency Tesla Transformer to insert a magnetic core for minimizing inductance loss between primary and secondary coil. Magnetizing inductance of Tesla transformer changed by stray inductance which is generated by eddy current on the surface of magnetic core. In this paper, we calculate magnetizing inductance and energy efficiency of Tesla transformer by CST(Computer Simulation Technology) simulation of four types of laminated magnetic core's eddy current loss. Energy efficiency of design model(radial laminating) is about 3.0 ~ 5.8% higher than the existing methods, and it is thought that it will be used as a performance improvement of S-band RF radiation device.

CCTV 기반 화염의 특성과 밀도 기반 공간 클러스터링을 이용한 화재 감지 방법 Fire Detection Method Using CCTV-based Flame Features and Density-based Spatial Clustering

https://doi.org/10.5370/KIEE.2022.71.4.656

최준선(Jun Seon Choi) ; 주영훈(Young Hoon Joo)

In this study, we propose fire detection method using CCTV-based flame features and density-based spatial clustering with noise (DBSCAN). To do this, first, the 1st candidate region using the color of the flame image is extracted and the 2nd candidate region using the high-frequency region and background removal is extracted. Next, the extracted 1st candidate region and 2nd candidate region are merged, and the clustering region is extracted using DBSCAN. And then, the method for judging flame and rhinitis through the number of blocks passing through the movement trajectory of the central point of the clustering region extracted using DBSCAN is proposed. Finally, the applicability of the method proposed in this paper is reviewed through experiments in indoor and outdoor environments.

클러터 환경에서 레이더 시스템의 표적 포착 시간 예측 기법 Target Lock-on Time Prediction Method for Radar System in Cluttered Environments

https://doi.org/10.5370/KIEE.2022.71.4.663

신정훈(Jeong-Hoon Shin) ; 최영진(Youngjin Choi) ; 송택렬(Taek-Lyul Song)

A radar system generally operates a signal and data processing chain, which consists of detection, confirmation, lock-on, and tracking, to seek a target within a region of interest. The performance of target lock-on depends on a confirmation method, and the lock-on time for a target is a crucial design parameter in terms of efficient resource management of a radar system in cluttered environments. This paper presents a target lock-on time prediction method based on the probability of target existence with Markov chain-2 model and its applicability in cluttered environments via computer simulation.

유도전동기 기동시 전압강하와 변압기 용량 및 임피던스에 관한 연구 Study on Voltage Drop, Transformer Capacity and Impedance During Induction Motor Starting

https://doi.org/10.5370/KIEE.2022.71.4.669

김종겸(Jong-Gyeum Kim)

Induction motors have the disadvantage of generating a voltage drop due to a high current during startup. This voltage drop may have a bad effect on other loads, so the voltage drop must be reduced within a certain range. The improvement of the starting method is also important to reduce the voltage drop, but the contents of the transformer's capacity and percent impedance are also very important. Transformers have different percent impedance depending on their capacity and voltage. The percent impedance is also related to the voltage drop. The higher the capacity of the transformer, the higher the percent impedance, and the lower the capacity, the lower the percent impedance. In this study, in order to limit the voltage drop to within the allowable range when starting the induction motor directly, the transformer capacity was calculated by considering the percent impedance together.