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전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
본 논문은 실시간 전기요금을 적용받는 태양광주택에서 전기요금을 최소화하는 동시에 계통으로 역전송 되는 잉여 태양광발전전력을 최소화하여 계통의 안정을 도모하는 태양광주택의 부하제어 전략을 제안한다.
스마트에너지하우스 구현을 위한 에너지 수요관리 알고리즘의 개발
전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2010 전기학회논문지 Vol.59 No.3
Recently, many actions are taking to accelerate progress toward social consensus and implementation of Smart Grid. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. The most distinguished element will be Advanced Metering Infrastructure (AMI) that will be installed to every end-use consumer's home or building and optimize the energy consumption of the end-use consumer. The key function of AMI is energy management capability that coordinates and optimally controls the various loads according to the operating condition and environments. In this study, we figure out the basic function of AMI in Smart Energy House that can be defined as a model house implementing in Smart Grid. This paper proposes the energy management algorithm that will be implemented in AMI at Smart Energy House. The paper also show how energy saving in Smart Energy House can be achieved applying the proposed algorithm to an actual house model that has mainly lighting, air-conditioning, TV loads.
주택용 태양광발전시스템의 적정 용량 및 설치각 선정을 위한 최적화 모델 연구
전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2010 전기학회논문지 Vol.59 No.6
In residential house, photovoltaic (PV) system among various alternatives in renewable energy system is the most efficient and feasible solution for reducing energy consumption and electricity cost. However, relatively high initial cost make people reluctant to install PV system in their houses. Therefore, in the initial state for PV system installation in the house, it is very important to decide proper capacity of the PV system considering the expected energy usage and solar energy supplying condition with the house. This paper proposes a novel optimization model for deciding appropriate capacity of the PV system for residential house. The objective function of the model is to minimize the annual cost including electricity bill, operation and maintenance cost, and annual fixed cost calculated from the initial installation cost based on capital recovery factor (CRF). The model also shows the optimal inclining angle of PV panels of the system. In this paper, we estimate the PV output using PVWATTS (PV simulator of Office of Energy Efficiency and Renewable Energy) and find optimal solutions by Sequential Quadratic Programming (SQP) method using MATLAB software. The proposed approach is finally applied to a residential model house in Gangneung, Gangwon-Do and verified its feasibility for adopting to PV system design for residential houses.
Zero Energy House(ZEH) 개념 및 설계 모델링에 관한 연구
전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
오늘날 세계 여러 국가에서 에너지 소비 절감에 대한 관심이 증가하고 있는 추세이며 특히 국가 전체 에너지 소비량중 상당량을 차지하는 건물에서의 에너지 절감에 대해 많은 관심이 집중 되고 있다. 본 논문에서는 건물 특히 주택에서의 에너지 절감 대안중 하나인 Zero Enegy House에 대해 알아보고 설계시 고려사항 및 효율적인 운영을 위한 가정용 에너지관리프로그램 및 시스템을 제안하고자 하였다.
전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2014 전기학회논문지 Vol.63 No.5
The renewable energy system and the real-time pricing can provide the significant economic advantage for end-user of residential house. However, according to recent studies, high initial cost of renewable energy system such as photovoltaic (PV) system and lack of suitable load control methods adjusting electric power consumption in response to time-varying price are regarded as the major obstruction for introduction of renewable energy system and real-time pricing in residental household. In this paper, we propose automated optimal load control strategy which aim to achieve not only minimizing the electricity cost but also the increase in the utilization rates of PV generation power of residential PV house in real-time pricing environment. Simulation results show that our proposed optimal load control strategy leads to significant reduction in the electricity costs and increase in the utilization rates of power generated by PV system in comparison with the conventional PV house. Therefore, the proposed optimal load control strategy can provide more economic benefit to end-user.
실시간요금제하에서 산업용 수용가의 부하제어알고리즘 개발
전정표(Jeong-Pyo Jeon),장성일(Sung-Il Jang),김광호(Kwang-Ho Kim) 대한전기학회 2014 전기학회논문지 Vol.63 No.12
In real-time electricity price environment, the energy management system can provide the significant advantage to the residential, commercial and industrial customers since it can reduce the electricity charge by controlling the load operation effectively in response to time-varying price. However, the earlier studies for load management mainly focus on the residential and commercial customers except for the industrial customers because most of load operations in industrial sector are intimately related with production schedule. So, it is possible that the inappropriate control of loads in industrial sector causes huge economic loss. In this paper, therefore, we propose load control algorithm for factory energy management system(F-EMS) to achieve not only minimizing the electricity charges but also maintaining production efficiency by considering characteristics of load operation and production schedule. Considering characteristics of load operation and production schedule, the proposed load control algorithm can reflect the various characteristics of specific industrial customer and control their loads within the range that the production efficiency is maintained. Simulation results show that the proposed load control algorithm for F-EMS leads to significant reduction in the electricity charges and peak power in industrial sector.
주거자 만족도를 고려한 주택 에너지관리 시스템의 부하제어 방법 연구
전정표(Jeong-Pyo Jeon),김광호(Kwang-Ho Kim) 대한전기학회 2014 전기학회논문지 Vol.63 No.8
The effective energy management method will provide the significant advantage to the residential customers under real time pricing plan since it can reduce the electricity charge by controlling the energy consumption according to electricity rate. The earlier studies for load management mainly aim to minimize the electricity charges and peak power but put a less emphasis on the human comfort dwelling in the residence. The discomfort and displeasure from the energy management only focusing on reduction of electricity charge will make the residential customer reluctant to enroll the real time pricing plan. In this paper, therefore, we propose optimal load control strategy which aim to achieve not only minimizing the electricity charges but also maintaining human comfort by introducing "the human comfort coefficient." Using the human comfort coefficient, the energy management system can reflect the various human personality and control the loads within the range that the human comfort is maintained. Simulation results show that proposed load control strategy leads to significant reduction in the electricity charges and peak power in comparison with the conventional load management method.