• 에너지공학
• /
• 제27권3호
• /
• pp.10-20
• /
• 2018

저렴한 농사용 전력 요금으로 인한 농업 부문 전력 과소비, 에너지의 전력 의존도 증가, 전력 생산성 저하, 교차보조의 증가 등 부작용들이 심화되고 있다. 더구나, 저렴한 전기 요금의 혜택이 영세농이 아닌 기업농에 집중되고 있으며, 최근에는 가상통화 채굴에 농사용 전기가 불법 사용되는 사례가 늘고 있다. 본 연구는 이러한 부작용을 분석하고, 로그평균 디비지아 지수법(LMDI)을 이용하여 1988-2016년 농사용 전력 소비량 증가를 성장, 구조 변화, 에너지 집약도 변화 등 세 가지 요인으로 구분하여 각 요인별 영향을 추정한다. 본 연구는 현행 농사용 전력요금 정책이 여러 가지 부작용을 낳고 국가 에너지 수입 부담을 가중시키며 온실 가스 배출 증가 억제에 부정적인 만큼 근본적인 변화가 시급함을 알려준다.

• 자원ㆍ환경경제연구
• /
• 제20권2호
• /
• pp.381-398
• /
• 2011

최근 동계 전력피크가 빈번히 발생하면서 전력수급 차질에 대한 우려가 높아지고 있다. 경기회복에 따른 산업용 전력수요가 증가한 것도 원인이지만 이상 한파에 따라 가정 상업 부문의 전기난방수요가 급증한 것이 주된 원인으로 파악된다. 특히 전기히트펌프(EHP)의 보급 확산으로 상업용 난방수요가 급증하고 있다. EHP의 보급 확산은 낮은 전기요금으로 가스히트펌프(GHP)에 비해 상대적으로 저렴한 냉난방비용 때문인 것으로 분석된다. 전기요금의 왜곡은 그 자체로도 문제이지만 이로 인해 파생되는 문제가 더 크다고 할 수 있다. 왜곡된 전기요금은 냉난방 열원에 대한 쏠림 현상을 불러오고 국가 전체적인 자원배분의 비효율성을 초래한다는 것이다. 근본적인 대책의 핵심은 전기요금을 적정 수준으로 현실화시키고 전기요금 체계를 소비자가 합리적으로 반응할 수 있는 구조로 바꾸는 것이다. 또한 효율적으로 전력수요를 관리할 수 있는 방안을 찾아야 한다.

• 한국경영과학회지
• /
• 제27권4호
• /
• pp.11-27
• /
• 2002

This paper is aimed at surveying the method that supports logical and theoretical back grounds of electricity service pricing, to investigate whether the ESPM can reflect comprehensively the various interests of parties and persons concerned with electricity supply and demand, and analyzing the practical applicability of the model in short-term perspectives. The major findings of this study can be summarized as fellows. First, the ESPM explains what process the equilibrium price is attained through, which is the essential concept and object in evaluating the value of public enterprises or utilities and the price of electricity Second, the ESPM provides the logics and methods that can objectify the discrete price by each electricity user. Third, the ESPM presents theoretical logics and practical methods that can calculate the basic price and the variable price per electricity unit which are key concepts in the two-part tariff. Fourth, the ESPM has powerful practical applicabilities in the reasonable electricity pricing and in the explanation for the balance between parties and persons interested with electricity supply and demand.

• 전기학회논문지
• /
• 제58권7호
• /
• pp.1304-1312
• /
• 2009

The purpose of this study is to build promotive measures and to develop alternative policies of DG(Distributed Generation) by finding and analysing effects of four business environment factors related to DEPB(District Electricity Power Business) on boosting DG. In this study, four business environment factors, which are the electric power industry restructuring, electricity tariff and pricing structure, regulations for DEPB, and conflicts of stake-holding groups, are considered as independent variables. And promotion factors of DG including small CHP(Combined Heat and Power) generation, which is outcome of DEPB, are considered as dependent variables. But dependent variables including booming of new renewable energy generation due to green energy pricing incentives, the electric power industry restructuring, and electricity tariff and pricing policies were separatively considered. In this study, some policies were proposed reflecting research results of empirical demonstrative analysis, previous studies, overseas cases, etc.

• 전기학회논문지
• /
• 제67권10호
• /
• pp.1278-1285
• /
• 2018

For saving electricity bill, energy storage system(ESS) is being installed in factories, public building and commercial building with a Time-of-Use(TOU) tariff which consists of demand charge(KRW/kW) and energy charge(KRW/kWh). However, both of peak reduction and ESS special tariff are not considered in an analysis of initial cost payback period(ICPP) on ESS. Since it is difficult to reflect base rate by an amount of uncertain peak demand reduction during mid-peak and on-peak periods in the future days. Therefore, the ICPP on ESS can be increased. Based on this background, this paper presents the advanced analysis method for the ICPP on ESS. In the proposed algorithm, the representative days of monthly electricity consumption pattern for the amount of peak reduction can be found by the k­means clustering algorithm. Moreover, the total expected energy costs of representative days are minimized by optimal daily ESS operation considering both peak reduction and the special tariff through a mixed-integer linear programming(MILP). And then, the amount of peak reduction becomes a value that the sum of the expected energy costs for 12 months is maximum. The annual benefit cost is decided by the amount of annual peak reduction. Two simulation cases are considered in this study, which one only considers the special tariff and another considers both of the special tariff and amount of peak reduction. The ICPP in the proposed method is shortened by 18 months compared to the conventional method.

• 전기학회논문지
• /
• 제64권7호
• /
• pp.1125-1129
• /
• 2015

Increasing peak load is one of the major concerns about operation of urban railroad systems. Since ESSs (Energy Storage Systems) have a great potential for shaving the peak load, there has been a growing interest in the use of ESS for peak load reduction. Also, ESS can be optimally scheduled to minimize the electricity purchasing cost under a given ToU (Time-of-Use) tariff by taking advantage of electricity price difference between peak and off-peak time. This paper presents a Mixed Integer Programming (MIP)-based ESS scheduling method to minimize the electricity purchasing cost under a ToU tariff for an urban railroad system.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1999년도 하계학술대회 논문집 B
• /
• pp.800-802
• /
• 1999

The meters for low voltage customer presently being used in Korea are all mechanical type and there is strict limitation on applying various customized tariff structure. Recently low voltage solid state meter is under development by several makers of the watt hour meter in Korea. Also, KEPCO has a plan to use the solid state meter for low voltage customer to reduce peak power. So, this paper suggests the needed function of low voltage solid state meter considering electricity tariff policy.

• 한국시스템다이내믹스연구
• /
• 제7권2호
• /
• pp.35-56
• /
• 2006

Korea is implementing strong regulatory derives such as Feed in Tariff to provide incentives for renewable energy developers. But if the government is planning to increase the renewable capacity with only "Price policy" not considering the investors behavior in the competitive electricity market, the policy would be failed. It is necessary system thinking and simulation model analysis to decide government's incentive goal. This study is focusing on the assesment of the competitiveness of renewable energy with the current Feed in Tariff incentives compared to the traditional energy source, specially coal and gas. The simulation results show that the market penetration of renewable energy with the current Feed-in-Tariff level is about 60-70% of the government goal under condition that the solar energy and fuel cell are assumed to provide the whole capacity set in the governmental goal. If the contribution from solar and fuel cell is lower than planned, the total penetration of renewable energy will be dropped more. Notably, Wind power turned out to be proved only 10% of government goal because of its low availability.

• Communications for Statistical Applications and Methods
• /
• 제29권2호
• /
• pp.225-238
• /
• 2022

In this paper, we propose a clustering method for advanced metering infrastructure (AMI) data in Korea. As AMI data presents non-stationarity, we consider time-dependent frequency domain principal components analysis, which is a proper method for locally stationary time series data. We develop a new clustering method based on time-varying eigenvectors, and our method provides a meaningful result that is different from the clustering results obtained by employing conventional methods, such as K-means and K-centres functional clustering. Simulation study demonstrates the superiority of the proposed approach. We further apply the clustering results to the evaluation of the electricity price system in South Korea, and validate the reform of the progressive electricity tariff system.

• 전기전자학회논문지
• /
• 제25권2호
• /
• pp.388-398
• /
• 2021

본 논문에서는 전기요금 절감용 ESS를 활용한 Particle swarm optimization(PSO) 기반 Peak shaving 제어 방법을 제안한다. 제안한 방식은 실제 부하와 예상되는 부하의 소비를 비교하여 피크 절감을 위해 ESS의 추가 유효전력값을 계산하여 입력을 더한다. 또한 추가로 증가시킨 유효전력을 보상하기 위해, 유효전력을 할당하는 과정을 수행하며 유효전력 할당치가 피크 부하에 영향을 주지 않도록 유효전력 할당 지점에 예상되는 부하의 평균을 최소화하는 최적화 해를 PSO를 통해 찾는다. 제안한 방식의 성능 검증을 위해 실제 부하 데이터와 예측 알고리즘을 반영하여 예측 오차가 적은 경우와 큰 경우의 사례 연구를 수행하였다. 사례 연구 수행 결과 제안한 방식을 전기요금 절감을 위한 충·방전 제어 방식과 같이 수행한 경우 예측 오차가 큰 경우에도 성공적으로 피크 부하 절감을 수행하였으며, 17.8%의 피크 부하 절감 효과와 6.02%의 전기요금 절감 효과를 보였다.