• The Transactions of the Korean Institute of Electrical Engineers B
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• v.49 no.7
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• pp.475-482
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• 2000

This paper presents a novel power-factor correction method using customer STATCOM which generally improves the power quality of electric customers. Customer STATCOM detects the reactive currents of a induction motor(IM) and so injects compensation currents which is in 180$^{\circ}$ phase with load currents that the reactive power of IM is compensated. In particular, the paper proposes the general compensation current references in the synchronous coordinate system and makes converter output voltages using space-vector PWM. The compensation effect of customer STATCOM is confirmed through the simulation according to the operation condition of an induction motor (at no load and full load).

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.180-183
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• 2000

The Battery Energy Storage System(BESS) has lots of advantages such as load levelling, quick response emergency power(spinning reserve), frequency and voltage control, improvement of reliability, and deferred generation and transmission construction. The economic feasibility requires justification from the customer side of meter to promoting the dissemination of BESS nationally. In this paper, we proposed the economic assessment model of customer owned Battery Energy Storage System(BESS) which is complemented and improved the existing model. The proposed model is applied to the typical customer type(light-industrial commercial, and residential) which are taken from the statistical analysis on the load profile survey of Korea Electric Power COmpany (KEPCO). The economic assessment performed for each customer type to justifying their economic feasibility of BESS installation from the economic measures such as payback period, overall benefits, ROI, and ROR. The results of this paper are useful to the customer investment decision making and the national energy policy & strategy.

• Industrial Engineering and Management Systems
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• v.6 no.2
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• pp.106-118
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• 2007

This paper present a new optimization model to generate aggregate production planning by considering electric cost. The new Time Of Switching (TOS) electric type is introduced by switching over Time Of Day (TOD) and Time Of Use (TOU) electric types to minimize the electric cost. The fuzzy demand and Dynamic inventory tracking with multiple plant capacity are modeled to cover the uncertain demand of customer. The constraint for minimum hour limitation of plant running per one start up event is introduced to minimize plants idle time. Furthermore; the Optimal Weight Moving Average Factor for customer demand forecasting is introduced by monthly factors to reduce forecasting error. Application is illustrated for multiple cement mill plants. The mathematical model was formulated in spreadsheet format. Then the spreadsheet-solver technique was used as a tool to solve the model. A simulation running on part of the system in a test for six months shows the optimal solution could save 60% of the actual cost.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1792-1796
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• 2010

In this paper, the survey results of the interruption on domestic residential customer with primary focus on the cost are presented. General method utilized in quantifying the benefit of reliability on power system is to estimate the Customer Interruption Cost(CIC) associated with the electric service interruption. According to change the circumstance of electricity market by the deregulation and the introduction of new technology, reliable and accurate CIC is required for estimate the applied plan and technology under the circumstance. This paper presents the residential customer interruption cost is estimated by the survey conducted by KEPCO in 2009. To collect the customer interruption data for calculation of CIC, the survey is conducted. The survey targeting residential customer around the branch-offices under twelve regional headquarters of KEPCO was carried out.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.6
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• pp.1032-1038
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• 2008

RFID is applied in various industry area. The purpose of RFID system is authentication of objects. After Tag's certification, RFID system start to process to be wanted. A RFID electric motor recognizes Tag's action and tails. The application of this system is very wide. For example, a cart in shopping Mall follows customer with a proper Tag. Customer may be very convenient if the cart follows customer autonomously as recognizing the direction of Tag. In this parer, we studied about RFID system that follow objects with a Tag. Finally, we experimented and analysed the proposed system, with Tag, Reader, host computer and electric motion motors.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1481-1483
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• 1999

Power distribution system planning for maximum customer satisfaction and system efficiency requires accurate forecast of future demand in service area. Spatial load forecasting method provides a more accurate estimation of both magnitudes and location of future electrical load. This method considers the causes of load growth due to addition of customers and per capita consumption among customers by land use (residential, commercial and industrial). So the land-use study and it's preference for small area is quite important. This paper proposes land-use preference estimation method based on fuzzy logic. Fuzzy logic is applied to computing preference scores for each land-use and by these scores the customer growth is allocated in service area. An simulation example is used to illustrate the proposed method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1787-1791
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• 2010

This paper presents the survey results of the interruption on domestic customer, especially commercial, with primary focus on the cost are presented. General method utilized in quantifying the benefit of reliability on power system is to estimate the Customer Interruption Cost(CIC) associated with the electric service interruption. According to change the circumstance of electricity market by the deregulation and the introduction of new technology, reliable and accurate CIC is required for estimate the applied plan and technology under the circumstance. This paper presents the commercial customer interruption cost is estimated by the survey conducted by KEPCO in 2009. To collect the customer interruption data for calculation of CIC, the survey is conducted. The survey targeting commercial customer around the branch-offices under twelve regional headquarters of KEPCO was carried out.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2146-2156
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• 2017

When a failure occurs in active distribution system, it will be isolated through the action of circuit breakers and sectionalizing switches. As a result, the network might be divided into several connected components, in which distributed generations could supply power for customers. Aimed at decreasing customer interruption cost, this paper proposes a theoretically optimal island partition model for such connected components, and a simplified but more practical model is also derived. The model aims to calculate a dynamic island partition schedule during the failure recovery time period, instead of a static islanding status. Fluctuation and stochastic characteristics of the renewable distributed generations and loads are considered, and the interruption cost functions of the loads are fitted. To solve the optimization model, a heuristic search algorithm based on the hill climbing method is proposed. The effectiveness of the proposed model and algorithm is evaluated by comparing with an existing static island partitioning model and intelligent algorithms, respectively.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.670-672
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• 2011

본 논문에서는 전력시장가격(SMP, SYstem Marginal Pricing, 이하 SMP)이 급등하여 발전비용이 증가할 경우, Utility의 신호에 의해 전력사용을 줄이거나 소비량이 낮은 시간대로 이동을 유도함으로써 전력소비자의 패턴을 바꾸도록 유도하는 상시수요관리에 있어서, 전력소비자의 기저부하(CBL, Customer Baseline Load, 이하 CBL) 산정 방법에 관하여 기술한다. 제안하는 방법은 현재 KEPCO에서 시행하고 있는 상시수요관리에 대해 소개하고, 전력소비자의 CBL산정방법을 제시하고, 실제 적용된 정확도를 분석하고 그 결과를 제시하였다.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.273-276
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• 2015

In this paper, ESS capacity installed in industrial customer is calculated using economic analysis. To do this, electric charge for industrial customer is analyzed and power management system(PMS) of ESS is selected. Reduction of kW cost and kWh cost are set to 'benefit' according to operation of ESS. Also, installation cost and maintenance cost of ESS are set to 'cost'. Proper ESS capacity is determined as a result of benefit-to-cost(B/C) analysis according to the variation of ESS installation cost. In case study, B/C is analyzed for the specific industrial customer and minimum capacity of ESS to make a profit are proposed for the customer.