DoctorateOpen Access

Determination of optimum wind energy integration potential in national energy grid

2015
0 views
0 downloads
Advisor: Prof. Dr. Muğdeşem Tanrıöven

Abstract (EN)

Continual rise in harmful effects of fossil energy sources on the environment and their rapid depletion leads people to the search for alternative energy sources. Wind energy rise to the prominence between alternative energy sources with its features of being renewable and having quick setup. Turkey's wind power potential is estimated to be 88 000 MW based on the results of territorial studies [1]. The highest value of the wind power potential in our country that can be used by the electric power grid is calculated as 13260 MW [2]. It has been determined in the conducted analysis that the wind power potential of Turkey is reflecting much greater rates than in European countries. The usage of the wind energy potential in the power system has gained momentum with the enactment of the law on the use of renewable energy sources for electricity production. It has been determined by scientific studies that the negative effects of wind power plants on power network can increase as a result of higher utilization rate of wind power in the national power system. In order to prevent the potential negative effects it has become a necessity to systematically examine the factors which affect the energy production of the wind power plants with technical and economic point of view. This will also impact Turkey's energy strategy targets of increasing the share of wind energy in total energy production. The reliable production level of wind power in the national network should be identified both regional and national basis. Technically available wind power capacity can be determined correctly only with the evaluation of all power system constraints together with regional wind data. Thus, strategies and investment plans related to wind power plants can be formed. In this thesis, technical and economic parameters related to grid connection of wind power plants have been identified. As the selection of technical parameters, regional meteorological data, different wind power plant technologies, hub levels to install the turbine and network constraints are taken into account. As the economic data, the production models depending on the manufacturing parameters of different wind power plant technology, infrastructure costs necessary for the installation of a power plant site, costs of land, the unit costs of energy production of the power plants and integration costs of wind power plants to the network are taken into account. The relation between the determined technical and economic parameters have been introduced in a systematic way and an optimization algorithm have been prepared. As a result of implementing the optimization algorithm, the maximum number of wind power plant that can be connected to the system has been identified. The number of stations that can be connected to the bus in the region has been defined based on the unit cost of production and a bus connection configuration map of the area has been prepared. The bus connection configuration has been recalculated for each technology. After adding candidate power plants into the power system, power plant positioning is optimized according to Bender decomposition method using integer linear programming and linear programming methods. As a result of optimization, the most suitable connection configuration for the selected region has been revealed by evaluating the investment and production costs together. The number of power plant to be connected to each bus and the most economic number of power plants that can be connected in total has been defined by considering the current state of the system. In this thesis, an algorithm that determines the most appropriate number of power plant to be connected for any area together with optimum investment costs according to the type of technology determined in the light of the region's wind data and the data of the energy transmission system. Keywords: Determination of the wind energy potential, grid connection, optimal site matching, The use of renewable energy sources

Author

Ali Erduman

How to Cite

Ali Erduman (Doctorate thesis). Determination of optimum wind energy integration potential in national energy grid, 2015, Yıldız Technical University.

Keywords

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Yıldız Technical University