考虑风光多维时空相关性的电源规划方法

提出考虑风光多维时空相关性的电源规划方法。基于Copula理论和风光出力概率分布建立考虑风光多维时空相关性的风光出力模型, 将出力场景应用于双层电源规划模型中, 提出考虑风光多维时空相关性的电源规划方法。上层是以总规划费用最小为目标函数的投资决策模型, 下层是以运行经济性和调峰特性最优为目标的短期运行优化模型。通过某地区算例验证分析了所提方法的有效性。结果表明,考虑风光时空相支性能够降低数据模拟误差,提高规划方法的经济效益,改善调峰特性。

Method for generation planning with the temporal and spatial correlation of wind and solar power

A generation planning method considering multi-dimensional spatial-temporal correlation of wind and solar energy was proposed. Based on Copula theory and probability distribution of wind power and photovoltaic, a wind power and photovoltaic output model considering multi-dimensional spatial-temporal correlation of wind power and photovoltaic was established. The output scenario was applied to the bi-level generation planning model, and a generation planning method considering the multi-dimensional spatial-temporal correlation of wind power and photovoltaic was proposed. Among them, the upper level was the investment decision-making model with the minimum total planning cost as the objective function, and the lower level was the short-term operation optimization model with the optimal operation economy and peak shaving characteristics as the objective. The effectiveness of the proposed method was verified by a case study in a certain area, and the influence of the spatial-temporal correlation of wind power and photovoltaic on the generation planning scheme was compared and analyzed.