Transmission augmentation with the competition benefit modelling of additional transmission capacity
2011 (English)In: Australian Journal of Electrical and Electronics Engineering, ISSN 1448-837X, Vol. 8, no 2, p. 105-118Article in journal (Refereed) Published
Abstract [en]
Additional transmission capacity can improve the performance of the electricity market from two perspectives: firstly, efficiency benefit in terms of improving the social welfare of the electricity industry; and, secondly, competition benefit that leads to increasing competition among generating companies. This paper introduces an algorithm to model both the efficiency and competition benefits of additional transmission capacity in the process of transmission augmentation. The economic mathematical model is developed based on game theory in applied mathematics and the concept of social welfare in microeconomics. Transmission network service providers, generating companies and market management companies are placed in different stages of the developed model. The multiple Nash equilibria problem is tackled through the introduced concept of worst-Nash equilibrium. A numerical algorithm is designed to solve the developed model. The Garver's and IEEE 14-bus example systems are carefully modified to suit the purpose of this study; the former is used for conceptual evaluation of the algorithm, and the latter for testing the developed numerical solution. The results show that the proposed approach can improve the efficiency of the electricity market and reduce the market power in the generation sector using the transmission augmentation policies.
Place, publisher, year, edition, pages
2011. Vol. 8, no 2, p. 105-118
Keywords [en]
Applied mathematics, Competition benefits, Developed model, Economic mathematical models, Efficiency benefits, Electricity industry, Electricity market, Generating companies, Market Power, Nash equilibria, Numerical algorithms, Numerical solution, Social welfare, Transmission capacities, Algorithms, Commerce, Economics, Efficiency, Electric industry, Electricity, Game theory, Mathematical models, Power quality, Telecommunication networks, Competition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-79299Scopus ID: 2-s2.0-79961093780OAI: oai:DiVA.org:kth-79299DiVA, id: diva2:495350
Note
QC 20120217
2012-02-082012-02-082012-12-06Bibliographically approved