• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.9
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• pp.1125-1140
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• 2018

This paper analyzes robotic technology developed for live-line electricity distribution and its applicability to domestic environment. In doing so, available robotic systems developed for the live-line work are thoroughly investigated and compared in terms of from robotic functionality to economic feasibility. To assess the technology readiness for domestic live-line robot, the rubber gloves based direct live-line engineering methods have been also analyzed and mapped into robotic technology requisites. The results are expected as a fundamental data to help with solving the safety and economics issues when considering development and introduction of compact live-line robot for complex domestic electricity distribution environment.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.350-357
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• 2004

In a deregulated electricity generation market, the sufficient capacity of transmission lines will promote the competition among generation companies (Gencos). In this paper, we show that Gencos' possession of rights to collect congestion rents may increase the competition effects of the transmission lines. In order for concrete analysis on this effect, a simple symmetric market model is introduced. In this framework, introducing the transmission right to the Gencos has the same strategic effects as increasing the line capacity of the transmission line. Moreover, the amount of effectively increased line capacity is equal to the amount of the line rights. We also show that the asymmetric share of the financial transmission rights may result in an asymmetric equilibrium even for symmetric firms and markets. We also demonstrate these aspects in equal line rights model and single firm line rights model. Finally, a numerical example is provided to show the basic idea of the proposed paper.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.103-109
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• 2012

In this paper, We suggest electricity power management system which makes a good efficient and minimize wasteness of electricity power. We made electricity power management system based USN(Ubiquitous Sensor Network) for industries, factories, public offices and so on, with optimized system. Simply, we can measure and control electricity power as we plug it outlets. This system can monitor and control electricity power, organizing network of PLC(Power Line Communication) and TCP/IP with the sensor for electricity power. Through the acquisition data, this proposed system can manage and save the electricity power efficiently and also we can connect this system to server, anytime, anywhere with Android phone.

• KIEE International Transactions on Power Engineering
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• v.5A no.2
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• pp.193-198
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• 2005

This paper proposes a new method to handle transmission line losses using loss distribution factors (LDF) rather than marginal loss factors (MLF) in electricity market operation. Under a competitive electricity market, the bidding data are adjusted to reflect transmission line losses. To date the most proposed approach is using MLFs. The MLFs are reflected to bidding prices and market clearing price during the trading and settlement of the electricity market. In the proposed algorithm, the LDFs are reflected to bidding quantities and actual generations/ loads. Computer simulations on a 9-bus sample system will verify the effectiveness of the algorithm proposed. Moreover, the proposed approach using LDFs does not make any payments residual while the approach using MLFs induces payments residual.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.12
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• pp.1705-1711
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• 2017

This paper analyzes the impact of DRA (Demand Response Aggregator) on market power when competing with power generation companies (Gencos) in the electricity market. If congestion occurs in the transmission line, the strategic choice of the power generation company increases exercise of market power. DRA's strategic reduction of power load impacts the strategy of Gencos, which in turn affects the outcome of the load reduction. As the strategy of Gencos changes according to the location of the congested transmission line, the impact on the market depends on the relative location of the congested line and the DRA.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.275-284
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• 2016

Accurate electricity demand forecasts is essential in reducing energy spend and preventing imbalance of the power supply. In forcasting electricity demand, we considered double seasonal Holt-Winters model and TBATS model with sliding window. We selected a specific time zone as the reference line of daily electric demand because it is least likely to be influenced by external factors. The forecasting performance have been evaluated in terms of RMSE and MAPE criteria. We used the observations ranging January 4, 2009 to December 31 for testing data. For validation data, the records has been used between January 1, 2012 and December 29, 2012.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.90-97
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• 2014

Nash Cournot Equilibrium (NCE) has been widely used in a competitive electricity market to analyze generation firms' strategic production quantities. Congestion on a transmission network may lead to a mixed strategy NCE. Mixed strategy is complicated to understand, difficult to compute, and hard to implement in practical market. However, Stackelberg model based equilibrium does not have any mixed strategy, even under congestion in a transmission line. A guide to understanding mixed strategy equilibrium is given by analyzing a cycling phenomenon in the players' best choices. This paper connects the concept of leader-follower in Stackelberg model with relations between generation firms on both sides of the congested line. From the viewpoint of social welfare, the surplus analysis is presented for comparison between the NCE and the Stackelberg equilibrium (SE).

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.675-685
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• 2013

Generation capacities and transmission line constraints in a competitive electricity market make it troublesome to compute Nash Equilibrium (NE) for analyzing participants' strategic generation quantities. The NE can cause a mixed strategy NE rather than a pure strategy NE resulting in a more complicated computation of NE, especially in a multiplayer game. A two-level hierarchical optimization problem is used to model competition among multiple participants. There are difficulties in using a mathematical programming approach to solve a mixed strategy NE. This paper presents heuristics applied to the mathematical programming method for dealing with the constraints on generation capacities and transmission line flows. A new formulation based on the heuristics is provided with a set of linear and nonlinear equations, and an algorithm is suggested for using the heuristics and the newly-formulated equations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.63-71
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• 2014

As power consumption increases, more power utilities are required to satisfy the demand and consequently results in tremendous cost to build the utilities. Another issue in construction of power utilities to meet the peak demand is an inefficiency caused by surplus power during non-peak time. Therefore, most power company considers power demand management with time-based electricity rate policy which applies different rate over time. This paper considers an optimal machine operation problem under the time-based electricity rates. In TOC (Theory of Constraints), the production capacities of all machines are limited to one of the bottleneck machine to minimize the WIP (work in process). In the situation, other machines except the bottleneck are able to stop their operations without any throughput loss of the whole manufacturing line for saving power utility cost. To consider this problem three integer programming models are introduced. The three models include (1) line shutdown, (2) block shutdown, and (3) individual machine shutdown. We demonstrate the effectiveness of the proposed IP models through diverse experiments, by comparing with a TOC-based machine operation planning considered as a current model.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.194-198
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• 2023

The current electricity networks will undergo profound changes in the years to come to be able to meet the growing demand for electricity, while minimizing the costs of consumers and producers, etc. The electricity network of tomorrow or even the intelligent « Smart Grids » network will be the convergence of two networks: the electricity network and the telecommunications network. In this context falls our work which aims to study the impact of the integration of energy decentralization into the electricity network. In this sense, we have implemented a new smart grid model where several coexisting suppliers can exchange information with consumers in real time. In addition, a new approach to energy distribution optimization has been developed. The simulation results prove the effectiveness of this approach in improving energy exchange and minimizing consumer purchase costs and line losses.