基于日调峰模式的梯级电站长期调峰效益模型

多源电网环境下水电调峰能力的充分发挥能带来更大的经济效益。考虑水电站年内不同时段日调峰曲线存在差异性，首先基于日调峰运行数据利用场景同步回代缩减方法提取了单峰、双峰及月典型三种典型日调峰曲线及发生概率，其次拟合三种模式下的调峰电价曲线并依据调峰利用小时数生成调峰电价系列，最后构建梯级电站长期调峰效益优化模型并以动态规划求解。以三峡–葛洲坝梯级水电站为研究对象，计算结果表明，该模型能较好地在水电站长期调度中反映短期调峰模式的影响，显著提高调峰效益，为长期调度方案的制定提供决策支持。 关键词：日调峰模式；调峰电价曲线；调峰效益模型；场景缩减技术；优化调度

Peak-shaving benefit model of cascade hydropower stations based on daily peak modes

Full use of the peak-shaving capacity of hydropower stations could bring more economic benefit. This paper describes a long-term optimization model that maximizes the peak-shaving benefit expectation based on a scenario reduction technique, the curve of peak-shaving price, and the otherness of daily load curves that reflects peak-shaving demands in different dispatch periods. This model extracts typical daily curves of peak-shaving operation for single-peak, double-peak and monthly-peak modes through simultaneous backward reduction, then simulates the curves of peak-shaving price for the three modes based on the daily curves extracted, and finally generates a peak-shaving price series. Calculations in a case study of the Three Gorges cascade hydropower stations show that the model could reflect the influence of different short-term peak-shaving operation modes on long-term dispatch and improve peak-shaving efficiency significantly, thus helping design long-term dispatch schemes of cascade hydropower stations.