高电压技术2024，Vol.50Issue(3)：1131-1144,中插16-中插20,19.DOI:10.13336/j.1003-6520.hve.20231639
基于改进生成对抗网络场景生成的长-短期储能优化配置
Optimal Configuration of Long-term and Short-term Energy Storage Based on Improved Generative Adversarial Network Scenarios
摘要
Abstract
The increasing proportion of renewable energy sources poses new demands on the flexibility regulation capa-bility of the new power system.To address this issue,this paper proposes a long-short term energy storage optimization method that guarantees multi-timescale flexibility regulation capability of the system through dual regulation of short-term power and long-term energy.First,a wind-solar joint output scenario generation method based on an improved generative adversarial network is proposed,which accurately characterizes the boundary of wind-solar output by adding month label information.Second,considering the technical characteristics of different types of energy storage,a long-short term energy storage operation coordination strategy is proposed.Finally,a dual optimization model of long-short term energy storage configuration that considers both economic and flexibility objectives is established.The optimal energy storage configuration plan is obtained through continuous optimization and iteration of the upper and low-er level models.The proposed method is validated on the improved IEEE-RTS 24-node system,and the results demonstrate that the proposed method can effectively improve the flexibility and economic performance of high-penetration power systems.关键词
可再生能源/不确定性/生成对抗网络/储能配置/运行策略/场景生成Key words
renewable energy/uncertainty/generative adversarial networks/energy storage configuration/operation strategy/scene generation引用本文复制引用
王成磊,匡熠,濮永现,唐岚,黄力文,束洪春..基于改进生成对抗网络场景生成的长-短期储能优化配置[J].高电压技术,2024,50(3):1131-1144,中插16-中插20,19.基金项目
国家自然科学基金(52037003) （52037003）
云南省重大科技专项计划(202002AF080001). Project supported by National Natural Science Foundation of China(52037003),Major Science and Technology Special Program of Yunnan Province(202002AF080001). （202002AF080001）
