考虑水电调节费用补偿的风光水联盟优化调度策略OA北大核心CSTPCD
Optimal Scheduling Strategy for Wind-Solar-Hydro Alliance Considering Compensation of Regulation by Hydropower
针对风光水综合能源跨区消纳调度中的梯级储能和梯级水电联合调节调度、水电调节费用公平疏导等关键问题,提出了考虑水电灵活调节费用疏导补偿的风光水联盟四阶段优化调度模型.首先,建立了基于梯级储能调节的入网前风光出力波动平抑模型,使平抑误差和平抑成本最小;提出了基于相对波动系数的梯级储能调节成本和调节功率的公平疏导方法.其次,基于梯级储能和梯级水电联合调节的风光水联盟联合出力对电网负荷的跟踪,构建了风光水联盟与区域电网的主从博弈模型,优化电网电价和联盟售…查看全部>>
Aiming at the key problems in cross-region consumption scheduling of the wind-solar-hydro integrated energy,such as the cascade energy storage,cascade hydropower joint regulation and scheduling methods,and fair allocation of hydropower regulation costs,a four-stage optimization scheduling model of wind-solar-hydro alliance is proposed with consideration of the compensation of hydropower flexible regulation costs.Firstly,a wind-solar power fluctuation suppres…查看全部>>
李咸善;丁胜彪;李飞;李欣
三峡大学电气与新能源学院,湖北宜昌 443002||梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北宜昌 443002三峡大学电气与新能源学院,湖北宜昌 443002三峡大学电气与新能源学院,湖北宜昌 443002||梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北宜昌 443002三峡大学电气与新能源学院,湖北宜昌 443002||梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北宜昌 443002
水电灵活调节新能源消纳主从博弈两阶段鲁棒优化非对称纳什谈判
flexible regulation of hydropowernew energy consumptionmaster-slave gametwo-stage robust optimizationasymmetric Nash negotiation
《中国电力》 2024 (5)
26-38,13
国家自然科学基金资助项目(基于集成-深度学习的高比例新能源大规模电力系统动态安全评估研究,5210 7107)梯级水电站运行与控制湖北省重点实验室(三峡大学)开放基金(基于灵活性资源调节的新能源区域电网风险协同优化调度,2022KJX07). This work is supported by National Natural Science Foundation of China(Research on Dynamic Security Assessment of High Ratio New Energy Large Scale Power Systems Based on Integration Deep Learning,No.52107107),Open Fund of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station(Risk Collaborative Optimization Dispatching of New Energy Regional Power Grid Based on Flexible Resource Regulation,No.2022KJX07).
评论