Weather research for optimum integration of wind power into a hydro-dominant power grid

在一项鼓励绿色能源发展的大胆举措中，政府指示BC Hydro（一家皇家公司）从批准的私营风能公司购买电力。由于风力发电不可靠且无法储存，BC Hydro必须对其主导的水力发电进行最佳补偿，以适应间歇性风力发电。考虑到所涉及的利益相关者的多样性，在面对不确定的天气预报时，这种优化是极其困难的。我们的研究将为水电站水库流域提供更好的降雨预报，并改善风力涡轮机农场的风力预报，以便BC Hydro工程师能够更好地优化其生产。我们将使用多种天气预报计算机代码来预测不同天气结果的可能性。这种概率预测允许更安全和更经济的电力生产。特别是，我们将通过以下方式努力改进概率预报：（1）参与一项实地计划，以更好地测量从太平洋上空接近加拿大的天气;（2）校准计算机化的

In a bold move to encourage green-energy development, BC Hydro (a Crown corporation) has been directed by the government to purchase power from approved private wind-energy companies. Because wind power is unreliable and cannot be stored, BC Hydro must optimally compensate its dominant hydroelectric production to accommodate the intermittent wind-power. Given the diverse stakeholders involved, this optimization is extremely difficult in the face of uncertain weather forecasts. Our research will provide improved rain forecasts for hydroelectric reservoir watersheds, and improved wind forecasts at wind-turbine farms, so that BC Hydro engineers can better optimize their production. We will use multiple weather-forecast computer codes to predict the chance of different weather outcomes. Such probabilistic forecasts allow safer and more economical power production. In particular, we will work to improve the probabilistic forecasts by: (1) participating in a field program to better measure the weather that approaches Canada from over the Pacific; (2) calibrating the computerized