大型流域水风光一体化短期优化调度研究

Research on Short-term Optimal Scheduling of Integrated Hydro-Wind-Photovoltaic System in Large River Basins

摘要:

推动水风光一体化系统建设是实现“双碳”目标的重要举措。为适应风光出力波动性大、稳定性差的问题，构建了一种以发电量最大和总出力波动最小为目标的大型流域梯级水风光短期互补优化调度模型，并采用逐步优化算法进行模型的求解。选取西南某大型流域水风光一体化系统为研究对象，以汛期风光低出力、平均出力和高出力3种典型场景进行实例分析计算。结果表明：在保障发电量损失不超过0.04%的前提下，水风光一体化系统通过水电灵活调节使出力波动分别削减98.64%、91.69%、98.13%；风光平均出力的场景更实现发电量提升0.02%与波动削减91.69%的双重优化，同时梯级各水电站的水位和流量也在合理范围内变动，验证了所提多目标协同的可行性，可为流域水风光一体化系统的生产运行提供参考。

Abstract:

Promoting the development of an integrated hydro-wind-photovoltaic system is an important measure to achieve the dual carbon goals. Short-term optimal scheduling is the key to the stable operation of integrated systems. A short-term optimal scheduling model for hydro-wind-photovoltaic system is established with multiple objectives such as maximizing power generation, minimizing output fluctuation, and minimizing power generation loss, with constraints of water level, flow rate, and output. The progressive optimization algorithm (POA) is adopted to solve the model. Taking a large-scale integrated hydro-wind-photovoltaic system in Southwest China as the study case, three typical scenarios, that is low, average and high wind-photovoltaic output, during flood season are analyzed. The results show that under the premise of ensuring that the power generation loss does not exceed 0.04%, the output fluctuation of integrated hydro-wind-photovoltaic system can be reduced by 98.64%, 91.69% and 98.13%, respectively. Scenario of average wind-photovoltaic output can also achieve dual optimization of 0.02% increase in power generation and 91.69% reduction in fluctuation, while the water levels and flows of cascade hydropower stations remain within reasonable ranges, which verifies the feasibility of multi-objective collaboration and provides practical references for the production and management of integrated hydro-wind-photovoltaic systems.