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迅速增加，导致电力系统中高度可变和不确定的发电量显著增长。这些不确定性给系统规划和运行带来了新的挑战，以提供可靠和有效的电能。越来越需要脱离系统操作和计划的传统实践，并考虑到潜在的主动性，研究和开发新的和合适的技术。建议的研究将对电力系统进行可靠性和成本评估，考虑现有和潜在的风力发电装置，与不同能源发电组合的协调，以及区域分布的风力发电场对系统可靠性的单个和综合影响。这些研究将使用概率技术开发适当的风模型，以识别日和季节特征、天气影响、区域分布的风电场之间的相互关系、与负荷变化的相互关系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、系统变化和其他各种因素对风力资源容量信贷的影响。该研究将探讨投资风力资源的成本和收益的一些方面。这些研究将利用已开发的风力模型，在考虑不同因素（如负荷增长、系统扩展、定期维护和进出口能力）的情况下，将不同的风力集成方案纳入可靠性评估。拟议的研究将制定方法，考虑到正在进行的系统变化和倡议，以提高能源效率，最大限度地利用可再生能源，并保持可接受的可靠性的整个系统。这些研究的结果将被分析，以提供考虑不同情景和系统因素的合适的风穿透目标的建议。所开发的方法也应有助于能源决策者和系统管理者制定和执行适当的可靠性标准。

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.