• Title, Summary, Keyword: Electricity

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Characteristics and Determinants of Household Electricity Consumption for Different Levels of Electricity Use in Korea (국내 가구의 전력소비 수준에 따른 특성 및 결정요인)

  • Kim, Yong-Rae;Kim, Min-Jeong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1025-1031
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    • 2017
  • This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.

Polynomial Type Price Sensitive Electricity Load Model (다항식 전력가격부하모형)

  • 최준영;김정훈
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.2
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    • pp.79-89
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    • 2003
  • A research about finding a new electricity load model that is sensitive to the price of electricity is conducted. This new model i5 polynomial type price sensitive electricity consumption model, while former electricity consumption models have exponential terms or statistic terms. The pattern of electricity consumption of each electricity using devices were identified first, then the proportion of the devices at buses or nodes are investigated, finally weighted sum of electricity consumption and the proportion makes the load model or consumption model of electricity at one bus or node. This new model is easy to use in the simulations or calculations of the electricity consumption, because the arithmetic of functions with polynomial terms are easy compared to the functions with transcendental terms.

Consumer Perception of Domestic Electricity Prices (가정용 전기요금에 대한 소비자인식)

  • Lee, Seong-Lim;Park, Myung-Hee
    • Journal of the Korean Home Economics Association
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    • v.46 no.3
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    • pp.37-47
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    • 2008
  • This study investigated (1) consumer perception about the level of electricity price, (2) the amount of household electricity consumption, and (3) consumer perception on electricity pricing system reform. For data collection, a national wide survey was conducted between November 22 and December 15, 2006. Excluding 233 cases, because of incomplete responses, data from 1767 households were analyzed. The major findings were as follows; More than 50% of the respondents consumed between 100-300kWh of electricity per month. Household size and income were significantly associated with electricity consumption. Approximately 50% of respondents perceived that electricity was being overcharged. Approximately 50% of the respondents positively evaluated the effects of the graduation pricing system. Households consuming more than 300kWh of electricity per month preferred a flat unit price. Based on these results, we suggest the implications to reforming the electricity pricing system.

Regional Electricity Planning Using Open Source-Based Optimization Model (오픈 소스 최적화모형을 이용한 지역단위 전력계획)

  • Chung, Yong Joo
    • The Journal of Information Systems
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    • v.28 no.1
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    • pp.133-153
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    • 2019
  • Purpose The purpose of this study is to design a regional electricity planning model rather than the existing single region ones and verify its usefulness. The regional electricity planning model is to determine both electricity distribution among regions and power plant planning at the same time satisfying regional demands and distribution networks. Design/methodology/approach This study made a regional electricity planning model by integrating power plant planning and electricity distribution among regions. The regional electricity planning model is formulated into a linear programming problem, and coded and run using the OSeMOSYS, one of open source energy systems. Findings According to the empirical analysis result, this study confirmed that the regional electricity planning model proposed in this study deducts the unfairness among regions in view of electricity and green house gas. In addition, the model is expected to be used in evaluating and developing the national policies concerning fine dust and/or green house gas.

New Electricity Load Model (새로운 전력 부하모형)

  • Kim, Joo-Hak;Choi, Joon-Young;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • pp.289-291
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    • 2000
  • In a competitive electricity power market, the price of electricity changes instantly, that of conventional market is predetermined and hardly changes. In such a new environment, customers' behaviors change instantly according to the changing electricity prices. If we develop a electricity load model that well describes the behavior of electricity consumers, we can utilize that model in forecasting the amount of future load, solving the load flow problem and finding the weak point of the system. In this paper new electricity model that considers the price of electricity and power factor of the load is presented. While conventional load model, which is demand function of electricity, uses the price of real and reactive power as the independent variable of the demand function. this new load model uses price of real power and penalty factor according to the power factor for the calculation of amount of electricity demand.

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The Economic Value of Residential Electricity Consumption in Seoul

  • Yoo, Seung-Hoon;Lee, Seung-Ryul
    • Journal of Energy Engineering
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    • v.21 no.1
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    • pp.81-85
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    • 2012
  • Electricity is the basic building block of economic development, and constitutes one of the vital infra-structural inputs in socio-economic development. The demand for electricity has been increasing due to extensive urbanization, industrialization, and a rise in the standard of living, as is the case with residential electricity consumption. This paper attempts to estimate the consumer surplus and the economic value of the residential consumption of electricity in Seoul to assist in decision-making in electricity management. The estimated consumer surplus represents the value of the area under the demand curve, above the actual price that is paid for residential electricity consumption. The estimated annual consumer surplus and economic value for the year 2005 amount to 2,144.7 and 3,727.4 billion won, respectively. The estimates per kWh were 184.9 and 316.0 won, respectively, which imply that the consumer surplus and the economic value of residential electricity consumption significantly outweigh the average price of electricity in 2005 of 91.1 won per kWh.

Analysis on the Effect of the Electricity Tariff for Agricultural Use by LMDI Methodolgy (LMDI 방법론을 이용한 농사용 전력 요금 할인 정책의 문제점 분석)

  • Moon, Hyejung;Lee, Kihoon
    • Journal of Energy Engineering
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    • v.27 no.3
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    • pp.10-20
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    • 2018
  • Due to cheap electricity tariff on agricultural use, electricity consumption in agricultural sector has grown dramatically. We evaluated the negative effects of the cheap electricity tariff such as electricity over-consumption, increased dependency on electricity, decreased electricity productivity, and unequal distribution of the benefit. We also estimated the effects of agricultral output growth, structural change, and electricity intensity change on sharp electricity consumption increase in agricultural sector between 1998 and 2016 using the Log Mean Divisia Index decomposition method. The findings reinforce the necessity of raising the electricity tariff for agricultural use.

Estimating the Loss Ratio of Solar Photovoltaic Electricity Generation through Stochastic Analysis

  • Hong, Taehoon;Koo, Choongwan;Lee, Minhyun
    • Journal of Construction Engineering and Project Management
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    • v.3 no.3
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    • pp.23-34
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    • 2013
  • As climate change and environmental pollution become one of the biggest global issues today, new renewable energy, especially solar photovoltaic (PV) system, is getting great attention as a sustainable energy source. However, initial investment cost of PV system is considerable, and thus, it is crucial to predict electricity generation accurately before installation of the system. This study analyzes the loss ratio of solar photovoltaic electricity generation from the actual PV system monitoring data to predict electricity generation more accurately in advance. This study is carried out with the following five steps: (i) Data collection of actual electricity generation from PV system and the related information; (ii) Calculation of simulation-based electricity generation; (iii) Comparative analysis between actual electricity generation and simulation-based electricity generation based on the seasonality; (iv) Stochastic approach by defining probability distribution of loss ratio between actual electricity generation and simulation-based electricity generation ; and (v) Case study by conducting Monte-Carlo Simulation (MCS) based on the probability distribution function of loss ratio. The results of this study could be used (i) to estimate electricity generation from PV system more accurately before installation of the system, (ii) to establish the optimal maintenance strategy for the different application fields and the different season, and (iii) to conduct feasibility study on investment at the level of life cycle.

Multi-Objective Optimization Model of Electricity Behavior Considering the Combination of Household Appliance Correlation and Comfort

  • Qu, Zhaoyang;Qu, Nan;Liu, Yaowei;Yin, Xiangai;Qu, Chong;Wang, Wanxin;Han, Jing
    • Journal of Electrical Engineering and Technology
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    • v.13 no.5
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    • pp.1821-1830
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    • 2018
  • With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

The Pricing of Electricity through the ESPM (ESPM을 이용한 전력가격의 결정)

  • 이석규;변영덕
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.4
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    • pp.11-27
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    • 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.