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

对可再生能源的广泛支持导致风力发电装置的快速增加，从而导致电力系统中高度可变和不确定的发电量的显著增长。这些不确定性对系统规划和操作提出了新的挑战，以便提供可靠和有效的电能使用。有一个日益增长的需要，偏离传统的做法，系统的运作和规划，研究和开发新的和合适的技术，考虑到潜在的倡议。拟议的研究将进行可靠性和成本评估的电力系统，考虑现有和潜在的风力发电装置，与不同的能源发电组合的协调，以及单独的和综合的影响，区域分布的风电场对系统的可靠性。这些研究将使用概率技术来开发适当的风模型，以识别昼夜和季节特征、天气影响、区域分布的风力发电场之间的交叉相关性、与负荷变化的相关性以及其他传统发电厂的季节性影响。该研究还将调查风力增长、系统变化和各种其他因素对风力资源容量信用的影响。这项研究将探讨风力资源投资的成本和效益的某些方面。这些研究将利用开发的风力模型，在可靠性评估中纳入不同的风力集成方案，同时考虑不同的因素，如负荷增长，系统扩展，定期维护和进出口能力。拟议的研究将制定方法，考虑到正在进行的系统变化和举措，以提高能源效率，最大限度地利用可再生能源，并保持整个系统的可接受的可靠性。我们会分析这些研究的结果，并考虑不同的情况和系统因素，就合适的风力穿透目标提供建议。所开发的方法还应有助于能源政策制定者和系统管理者制定和实施适当的可靠性标准。

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.