为减少二氧化碳排放、提高可再生能源利用效率，提出了含梯级水电站的风光水火多能互补系统随机优化调度模型。该模型目标函数由系统运行成本、惩罚成本两部分组成，同时考虑了风电和光伏出力的不确定性。用 Monte Carlo 模拟了风电和光伏出力的随机性，经场景聚合将不确定性问题转化为多个确定性问题进行求解。在梯级水电站建模中，用启发式方法将水电转换函数进行分段线性化，通过算例验证了该模型的有效性；分析了多能互补系统对新能源的消纳能力；调节水电出力状态，发现其对多能互补系统优化调度成本有一定影响。
英文摘要:
In order to reduce carbon dioxide emission and improve the utilization efficiency of renewable energy, a stochastic optimal scheduling model of wind-wind-photovaltaic multi-energy complementary system for cascade hydropower station is proposed. The objective function of the model is composed of two parts: system operation cost and penalty cost. Monte Carlo simulation was used to simulate the randomness of wind power and photovoltaic output, and the uncertain problem was transformed into multiple deterministic problems by scene aggregation for solution. In the modeling of cascade hydropower station, the conversion function is piecewise linearized by heuristic method. The capacity of multi-energy complementary system to absorb new energy is analyzed. It is found that it has certain influence on the optimal scheduling cost of multi-energy complementary system.
