Title :
Optimal transmission entry capacity in wind-integrated power systems
Author :
Uzuncan, Ezgi ; Hesamzadeh, M.R.
Author_Institution :
Electr. Market Res. Group, KTH R. Inst. of Technol., Stockholm, Sweden
Abstract :
Determining optimal transmission entry capacity (TEC) is very crucial for ensuring an optimal usage of transmission network. It is a complex process to determine the correct TEC levels due to high amount of factors involved. A number of policies encourages the penetration of renewable energy sources with special focus on wind and solar power. Due to intermittent nature of wind energy, the process of determining TEC levels gets ever more complex. Besides, the increasing complexity of finding the optimum TEC levels for generators, another problem is that dispatch of conventional generators are affected by wind power productions. Therefore, the dispatch of all generators become uncertain due to uncertain nature of wind. In this conditions, the optimal usage of the transmission network is very important for efficient operation of the electricity markets. The aim of this paper is to find the optimal TEC levels for electricity generating firms. It uses linear optimisation model and mixed integer linear programming model for non-firm and firm dispatch conditions respectively. The derived models are applied to the IEEE 24-Node test system.
Keywords :
electricity supply industry; integer programming; linear programming; power markets; solar power; transmission networks; wind power plants; 24-node test system; TEC levels; electricity generating firms; electricity markets; linear optimisation model; mixed integer linear programming model; optimal transmission entry capacity; renewable energy sources; solar power; transmission network; wind energy; wind power productions; wind-integrated power systems; Equations; Generators; Linear programming; Mathematical model; Wind farms; Wind power generation; Wind speed; Power generation dispatch; linear programming; mixed integer programming; transmission export capacity; transmission reliability standards for generators; wind energy;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850616