• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.493-501
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• 2001

B2C is not doing well in Asia and Pacific countries in comparison to U.S. and Europe. But there is misunderstanding of low growth of B2C electric commerce caused by cultural factor. Consumers in market are rational to decide their purchase according to total cost - market price and transaction cost. I examined this with data of Korea and U.S. Transaction cost in real market is less in Korea than in U.S. but that of electric commerce, it is much less in U.S. As a result, the choice of consumers in Korea is real market transaction while consumers in U.S. choose electric commerce.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.512-514
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• 2001

Recently, Korea's electric industry is in the midst of a period of profound changes in the structure and function, including the introduction of market competition in the generation sector. Korea is in the early stages of market competition, so the market price is chosen by generation costs but will be chosen by bids in future. Therefore, the profits of generators is determined by market pool price and the prospects of pool price are very important for new capacity investment determination of generators and IPPs. This study analyzes hourly marginal costs and LOLP considering basic generation mix and characteristics, develops the relationship of pool price using the above in competition market, and proposes basic direction for profits variation and supply-demand analysis in the electric market in future.

• Journal of applied mathematics & informatics
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• v.26 no.1_2
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• pp.337-347
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• 2008

Based on social welfare maximum theory, the optimal scale of power plants entering generation power market being is researched. A static non-cooperative game model for short-term optimization of power plants with different cost is presented. And the equilibrium solutions and the total social welfare are obtained. According to principle of maximum social welfare selection, the optimization model is solved, optimal number of power plants entering the market is determined. The optimization results can not only increase the customer surplus and improve power production efficiency, but also sustain normal profits of power plants and scale economy of power production, and the waste of resource can also be avoided. At last, case results show that the proposed model is efficient.

• Journal of Distribution Science
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• v.17 no.6
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• pp.85-90
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• 2019

Purpose - In China, electric vehicle industry has been increased attention as a environmental friendly transportation to solve pollution problems, and still growing to solve a technological gap issues in automobile industry. Although the interest of electric vehicle is getting bigger, there are not many studies that showing consumers' intention to purchase an electric vehicle. Because of this phenomenon, this study tried to find the factors which can affect the purchase intention of electric vehicle. Research design, data, and methodology - Drawing on the Planned Behavior Theory(TPB), this study examined attitude toward the behavior, subjective norm of environmental protection, and the influence of economic benefits on purchase intention through survey. we measure 233 Chinese samples. Results - The results showed that attitude toward electric vehicles, subjective norms of environmental protection, and economic benefits had a significant effect on purchase intention. To be specific, the consciousness of environmental protection, economic considerations, product image and its characteristic are all considerable aspects from the standpoint of Chinese consumers. In addition, we found that the higher the age group, the weaker relationship between attitude toward electric vehicle and purchase intention. Conclusion - This study suggests that diverse factors related to the purchase intention of electric car in China market and Chinese consumers. Especially, economic benefit factors, which have a statistically significant and significant influence on the purchase intention of electric vehicles, are not significant variables in the existing electric vehicle research. This result is considered to be the result of the fact that the electric vehicle is not only an automobile having an environmentally friendly factor but also a product which makes it consider the economic situation. Put together, the results of this paper give us the theoretical basis for establishing an electric vehicle marketing strategy in the rapidly changing Chinese market. Also, this paper will provide new ventures for marketing and distribution strategies for Korean companies that are looking to expand into China.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.194-200
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• 2022

As of 2020, the cumulative number of electric vehicles worldwide increased 43% from 2019, exceeding 10 million. We surveyed and analyzed important factors when purchasing electric vehicles for consumers who own electric vehicles. Through this, we tried to find an effective way to supply electric vehicles in the future. The purpose of this study is to present customized marketing proposals for companies by empirically analyzing the factors affecting consumers' electric vehicle purchases and deriving market demands for electric vehicles. We identified the market status of electric vehicles through literature research and reviewed previous studies on the factors affecting the purchase intention of electric vehicles. Through empirical studies, differences in electric vehicle purchase factors according to gender, age, and the degree of importance of performance were analyzed. To this end, the SPSS statistics package was used. Factors influencing the purchase of electric vehicles were set to mileage, charging time, new technology, degree of driving autonomous development, design, price, infrastructure for charging, the phase of maintenance and repair, by the government and local governments. In addition, the most important factors were derived, and the average difference analysis was conducted according to gender, age, and performance importance.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.2
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• pp.107-113
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• 2003

In a deregulated electric power market, a demand function to consider the characteristics of electric power consumers should be required. It is essential that the optimal power flow algorithm with object function of social welfare maximization using the demand function for a competitive electric power market is applied to resolve in a point of economic benefits as well as the security of power systems. Therefore, in this paper, we implement the optimization problem based on linear programming to consider the characteristics of electric power consumers using the demand function and analyze not only the nodal cost for generations and demands but also the variation of demands as a function of the characteristics of electric power consumers through numerical studies.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.7
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• pp.311-316
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• 2002

It has been a basic model for the present electric power industry that more than two generators compete, and thereby the market clearing price and the generation schedules are determined through the bid process. In order for this paradigm to be applicable to real electric power systems and markets, it is necessary to reflect many physical and economic constraints related to frequency and transmission in the dispatching schedule. The paper presents an approach to deriving a Nash bargaining solution in a competitive electricity market where multiple generators are playing with the system operator who mitigates the transmission congestion to minimize the total transaction cost. In this study, we take the effect of the line flows and the role of system operator into the Game. Finally, a case study has been demonstrated to verify the proposed cooperative game.

• JOURNAL OF ELECTRICAL WORLD
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• no.9 s.153
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• pp.4-7
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• 1989

• JOURNAL OF ELECTRICAL WORLD
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• no.9 s.153
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• pp.2-3
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• 1989

• JOURNAL OF ELECTRICAL WORLD
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• no.11 s.71
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• pp.16-20
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• 1982