
针对配电网中分布式新能源的不确定性,提出了一种基于场景生成的储能配置模型。构建基于标签编辑的生成对抗网络(generative adversarial network
GAN),并重新设计了损失函数,该网络可以从预测数据与实测数据之间提取预测误差,生成新能源出力曲线。为了提高求解效率,将场景削减算法嵌入到了生成算法中,建立了考虑电池健康约束的储能配置模型。采用开普勒优化算法(Kepler optimization algorithm
KOA)来求解模型案例,并通过仿真实验进行分析。仿真结果表明:与基于模型驱动的方法相比,所提方法可以准确描绘新能源功率的局部波动特性。通过对修改的IEEE 30节点系统的仿真分析,验证了所提出模型的可行性和有效性。
孙义豪,郭勇,冯健冰,全少理,丁岩,于昊正,任洲洋.基于自编码器与生成对抗网络的风电周度场景生成方法[J].电工电能新技术,2023(12).
赵冬梅,徐辰宇,杜泽航,陶然,裴建楠,宋晨铭,刘崇茹.就地无常规电源支撑下考虑新能源基地频率稳定的储能优化配置方法[J].中国电机工程学报,2024(24).
鲍谚,石锦凯,陈世豪.考虑负荷预测不确定性的快充站储能鲁棒实时控制策略[J].电力系统自动化,2023(10).
董骁翀,张姝,李烨,王新迎,蒲天骄,孙英云.电力系统中时序场景生成和约简方法研究综述[J].电网技术,2023(02).
鲁卓欣,徐潇源,严正,吴江,桑妲,王澍.不确定性环境下数据驱动的电力系统优化调度方法综述[J].电力系统自动化,2020(21).
顾洁,刘书琪,胡玉,孟璐.基于深度卷积生成对抗网络场景生成的间歇式分布式电源优化配置[J].电网技术,2021(05).
梁俊文,林舜江,刘明波,宋雨浓,范官盛,何森,蒋浩.主动配电网分布式鲁棒优化调度方法[J].电网技术,2019(04).
Abdel-Basset Mohamed,Mohamed Reda,Azeem Shaimaa A. Abdel,Jameel Mohammed,Abouhawwash Mohamed.Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion[J].Knowledge-Based Systems,2023.
Bhavsar S.,Pitchumani R.,Ortega-Vazquez M.A..Machine learning enabled reduced-order scenario generation for stochastic analysis of solar power forecasts[J].Applied Energy,2021.
Meiqin Gong,Qingyuan Chen,Siyu Chen,Yongqing Zhang,Yuanqi Zeng.Generative Adversarial Networks in Medical Image Processing[J].Current Pharmaceutical Design,2021.
Xu Xiaoyuan,Yan Zheng,Shahidehpour Mohammad,Li Zhiyi,Yan Mingyu,Kong Xiangrui.Data-Driven Risk-Averse Two-Stage Optimal Stochastic Scheduling of Energy and Reserve With Correlated Wind Power[J].IEEE Transactions on Sustainable Energy,2020.
Stappers Bart,Paterakis Nikolaos G.,Kok Koen,Gibescu Madeleine.A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction[J].IEEE Transactions on Power Systems,2020.
Yibin Qiu,Qi Li,Yuru Pan,Hanqing Yang,Weirong Chen.A scenario generation method based on the mixture vine copula and its application in the power system with wind/hydrogen production[J].International Journal of Hydrogen Energy,2019.
Courtade Thomas A.,Fathi Max,Pananjady Ashwin.Quantitative Stability of the Entropy Power Inequality[J].IEEE Transactions on Information Theory,2018.
Miguel Asensio,Pilar Meneses de Quevedo,Gregorio Munoz-Delgado,Javier Contreras.Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage - Part I: Stochastic Programming Model.[J].IEEE Trans. Smart Grid,2018.
Feijoo Andres,Villanueva Daniel.Wind Farm Power Distribution Function Considering Wake Effects[J].IEEE Transactions on Power Systems,2017.
Baker Kyri,Hug Gabriela,Li Xin.Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation[J].IEEE Transactions on Sustainable Energy,2017.
Yonghan Feng,Sarah M. Ryan.Scenario construction and reduction applied to stochastic power generation expansion planning[J].Computers and Operations Research,2013.
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