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为系统研究风光电源对清江梯级电站中长期优化调度的影响，建立了清江梯级电站水风光协同调度的多目标优化模型，采用目标转换与惩罚相结合的方法进行目标函数重构，并通过逐步优化算法进行求解。实例研究结果表明，该模型在保证系统发电量的同时也能使得梯级电站与风光出力过程形成互补；通过分析互补协调优化效果及梯级电站水位变化情况，提取了清江梯级水库调度方式变化规律，即在考虑风光电源后，应根据来水特征重点调整丰、平水年的蓄泄策略，以预留出更多库容灵活应对与风光互补需求和发电需求。
Abstract：To systematically investigate the impacts of wind and solar power integration on medium-to-long-term optimal scheduling of the Qingjiang cascade hydropower stations, a multi-objective optimization model for coordinated hydro-wind-solar operation was established. The objective function was reconstructed through objective transformation integrated with penalty mechanisms and solved using the progressive optimization algorithm(POA). Case studies demonstrate that the model simultaneously ensures system power generation while achieving complementary coordination between cascade station operations and renewable power output. Through analysis of complementary coordination effects and reservoir level variations, operational pattern modifications for the Qingjiang cascade reservoirs were extracted: following renewable integration, storage/discharge strategies should be prioritized for adjustment during wet/normal years based on inflow characteristics. This adaptation reserves additional storage capacity to flexibly accommodate complementary coordination requirements with renewables while fulfilling power generation demands.
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基本信息:
DOI：10.20040/j.cnki.1000-7709.2026.20250952
中图分类号:TV737
引用信息:
[1]黄远见,覃晖,涂圣勤,等.风光电源影响下的清江梯级电站中长期优化调度方式研究[J].水电能源科学,2026,44(01):222-226.DOI:10.20040/j.cnki.1000-7709.2026.20250952.
基金信息:
国家重点研发计划(2021YFC3200303); 湖北清江水电开发有限责任公司科研项目(NBZZ202400751); 国家自然科学基金重点项目(52039004)
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