• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.461-462
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• 2015

세계적으로 마이크로그리드에 이목이 집중되고 있는 현재 상황에서 DER(Distributed Energy Resources : 분산형 독립전원)의 역할이 대두되고 있다. 캠퍼스 마이크로그리드는 대학교의 캠퍼스를 하나이상의 DER로 선정하여 피크 시 교내 전기수요의 일부분을 해소할 수 있는 전력망 기반의 네트워크 시스템이다. 해외에서는 이미 캠퍼스 마이크로그리드 성공사례를 보여주었고, 이후 많은 캠퍼스에서 캠퍼스 마이크로그리드를 벤치마킹하고 있다. 본 논문에서는 캠퍼스 마이크로그리드에 필요한 DER을 구성하기 전 캠퍼스 내의 건물별, 계절별 전력수요 특성을 분석하고자 한다.

• Journal of Energy Engineering
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• v.10 no.1
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• pp.1-9
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• 2001

전력 사업 구조 개편과 전력계통 신뢰도에 대한 우려 증대, 풍부하고 저렴한 천연가스, 새로운 대기 오염 규제, 부정전전원의 가치 증대로 인하여 분산형 발전의 수요가 증가하고 있다. 본고에서는 미국의 사례를 중심으로 분사형 전원의 현황을 개략적으로 살펴보고 핵심기술인 왕복동엔진, 가스터빈, 마이크로터빈, 연료전지, 태양광발전 기술들의 특징, 장점, 경제성 등을 서술하고 이 기술들의 활용범위 및 분산형 시스템으로서의 적합성에 대하여 논하며 관련 연구개발, 기존 전력망과의 연계, 문제점과 전망에 대해서 살펴보고자 한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.519_520
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• 2009

신재생 에너지원을 포함한 대부분의 소용량 분산전원(DER : Distributed Energy Resource)은 22.9 KV 이하의 저압 배전계통에 분포하게 된다. 배전계통에 도입되는 분산전원(DER)에 의한 역조류 문제는 수용가 단의 전압상승 문제를 야기 시킬 뿐 아니라 보호계전 시스템의 전반적인 재검토를 필요로 한다. 출력 제어가 불가능한 분산전원(DER)의 도입량 증가에 따른 무효전력의 수급문제는 기존의 배전망 운영의 개념으로는 효율적인 제어가 어려우며, 유효전력의 급변에 의한 문제도 배전 지역별로 어느 정도 안정화 시킬 필요가 있다. 이를 위해서는 배전 계통운영에도 Energy Management System(D-EMS)의 도입이 필요할 것으로 사료된다. 본 논문은 D-EMS 도입 및 스마트그리드 체제로의 이행을 위한 통신네트워크의 아키텍처 수립을 위한 기능분석 결과이다.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.66-67
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• 2008

Most mineral resources are located in subsurface but mineral exploration starts with a step of investigation in wide-area to find evidence of buried ores. Conventional technique for exploration on wide-area as a preliminary survey is an observation using naked eyes by geologist or chemical analysis using lots of samples obtained from target area. Hyperspectral remote sensing can overcome those subjective and time consuming survey and can produce mineral resources distribution map. Precise resource map requires information of mineral distribution in a subpixellevel because mineral is distributed as rock components or narrow veins. But most hyperspectral data is composed of pixels of several meters or more than ten meters scale. We reviewed subpixel unmixing algorithms which have been used for geological field and tested detection ability with Hyperion imagery, geological map and seven spectral curves of mineral and rock specimens which were obtained from study areas.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.6
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• pp.440-448
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• 2022

Recently, due to the introduction of distributed energy resources, the optimal resource allocation problem of the power network is more and more important, and the distributed resource allocation method is required to process huge amount of data in large-scale power networks. In the optimal resource allocation problem, many studies have been conducted on the case when the supply-demand balance is satisfied due to the limitation of the generation capacity of each generator, but the studies considering the supply-demand imbalance, that total demand exceeds the maximum generation capacity, have rarely been considered. In this paper, we propose the consensus-based distributed algorithm for the optimal resource allocation of power network considering the supply-demand imbalance condition as well as the supply-demand balance condition. The proposed distributed algorithm is designed to allocate the optimal resources when the supply-demand balance condition is satisfied, and to measure the amount of required resources when the supply-demand is imbalanced. Finally, we conduct the simulations to verify the performance of the proposed algorithm.

• Environmental and Resource Economics Review
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• v.30 no.2
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• pp.237-268
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• 2021

As variable renewable sources rapidly increase due to the Energy Transition plan, integration cost of renewable sources to the power system is rising sharply. The increase in variable renewable energy reduces the capacity factor of existing traditional power capacity, and this undermines the efficiency of the overall power supply, and demand resources are drawing attention as a solution. In this study, we analyzed how much electric vehicle demand resouces, which has great potential among other demand resources, can reduce power supply costs if it is used as a flexible resource for renewable generation. As a methodology, a stochastic form of power system optimization model that can effectively reflect the volatile characteristics of renewable generation is used to analyze the cost induced by renewable energy and the benefits offered by electric vehicle demand resources. The result shows that virtual power plant-based direct control method has higher benefits than the time-of-use tariff, and the higher the proportion of renewable energy is in the power system, the higher the benefits of electric vehicle demand resources are. The net benefit after considering commission fee for aggregators and battery wear-and-tear costs was estimated as 67% to 85% of monthly average fuel cost under virtual power plant with V2G capability, and this shows that a sufficient incentive for market participation can be offered when a rate system is applied in which these net benefits of demand resources are effectively distributed to consumers.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.946-954
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• 2016

Energy industry is undergoing a paradigm shift in customer participation in the smartgrid. Customers traditionally consume electrical power. But nowadays not only do they generate electricity from private distributed generations, they can participate in demand response programs with their negawatt power which means a theoretical unit of power representing an amount of energy saved. Therefore development of decision-making criteria for electric load aggregation becomes a greater consideration as an amount of energy saved from demand response resources increases. This paper proposes load aggregators' decision-making criteria in the industrial sector where it made up the largest portion in demand response portfolio in order to assure reliability performance for demand response resources.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.458-458
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• 2022

It is essential to reduce global carbon emissions, mainly from energy use. The water supply and distribution sector is a vital part of human society and is one of the primary energy consumers. The procurement and distribution of water require electricity to operate the pump to deliver water to users with sufficient pressure. As the water users are spatially distributed over a wide area, the energy required to deliver water to each user differs depending on the corresponding supplying element (reservoir, tank, pipe, pump, and valve). This difference in energy required for each user also comes with a difference in pressure availability which affects the level of service for individual users and the whole network. Typically, there is a disproportion where users close to the source experience excessively high pressure with low energy consumption. In contrast, remote users need more energy to get the minimum pressure. This study proposes the Energy Return Index (ERI) to quantify the pressure return from particular energy consumption to supply water to each node. The disproportionality can be quantified and identified in the network using the proposed ERI. The index can be applied to optimize the network elements such as pump operation and tank location/size to reach a balanced energy consumption with the appropriate level of service.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.11
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• pp.57-68
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• 2013

The market for distributed power generation based on renewable energy is increasing, particularly for standalone mini-grid applications in developing countries with limited energy resources. Stand-alone power systems (SAPS) are of special interest combined with renewable energy design in areas not connected to the electric grid. Traditionally, such systems have been powered by diesel engine generator sets (DEGS), but also hybrid systems with photovoltaic and/or wind energy conversion systems (WECS) are becoming quite common nowadays. Hybrid energy systems can now be used to generate energy consumed in remote areas and stand-alone microgrids. This paper describes the design, simulation and feasibility study of a hybrid energy system for a stand-alone power system. A simulated model is developed to investigate the design and performance of stand-alone hydrogen renewable energy systems. The analysis presented here is based on transient system simulation program (TRNSYS) with realistic ventilation load of a large store. Design of a hybrid energy system is site specific and depends on the resources available and the load demand.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.49-54
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• 2009

Sensor nodes in wireless sensor networks operate in distributed environments with limited resources and sensing capabilities. Especially, a sensor node has a small energy. After the sensor nodes are distributed in some area, it is not accessible to the area. AIso, a battery of sensor node cannot change. One of the hot issues in wireless sensor networks maximizes the network lifetime through minimizing the energy dissipation of sensor nodes. In LEACH, the cluster head is elected based on a kind of probability method without considering remaining energy of sensor node. In this paper, we propose a cluster formation scheme that the network elect the node, which has higher energy level than average energy level of overall sensor network, as cluster head node. We show the superiority of our scheme through computer simulation.