Reliability/cost evaluation of an electric power system considering regional wind power integration

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Widespread support for renewable energy has led to rapid increase in wind power installations causing significant growth in highly variable and uncertain power generation in electric power systems. These uncertainties have created new challenges to system planning and operation in order to provide reliable and efficient use of electrical energy. There is a growing need to deviate from the conventional practices of system operation and planning, and research and develop new and suitable techniques considering the potential initiatives. The proposed study will carry out reliability and cost evaluation of an electric power system considering existing and potential wind power installations, the coordination with different mix of energy generation, and the individual and combined impact of regionally distributed wind farms on the system reliability. The studies will use probabilistic techniques to develop appropriate wind models that recognize the diurnal and seasonal characteristics, weather effects, the cross co-relation between regionally distributed wind farms, the co-relation with load variation and the seasonality effects of other conventional generating plants. The study will also investigate the impact of wind growth, system changes and various other factors on the capacity credit of wind resources. The study will explore some aspects of cost and benefits of investment in wind resources. The studies will utilize the developed wind models to incorporate different wind integration scenarios in reliability evaluation while considering different factors, such as load growth, system expansion, scheduled maintenance and import and export capabilities. The proposed research will develop methodologies, considering the ongoing system changes and initiatives, to increase energy efficiency, maximize renewable energy utilization and maintain acceptable reliability of the overall system. The results from these studies will be analyzed to provide recommendation on appropriate wind penetration targets considering different scenarios and system factors. The developed methods should also be useful to energy policy makers and to system regulators to develop and implement appropriate reliability standards.