摘要
随着“双碳”目标下我国能源结构的调整,可再生能源的大规模并网发电对系统运行灵活性提出了更高的要求,调峰能力不足,严重影响了系统运行的环保性和经济性。基于此,构建了考虑需求响应和含储火电参与深度调峰的随机优化调度模型。在需求侧引入价格响应增强用户参与负荷调节的主动性,以优化调整次日的负荷曲线,降低峰谷差。在火电侧配置储能,辅助火电机组进入深度调峰状态运行,以提升火电机组的调峰能力。同时考虑风光出力误差,构建基于机会约束条件的系统备用约束,采用随机模拟确定性转化方法。最后以可再生能源弃电率和系统运行成本最小两目标函数进行优化求解。仿真结果表明:所提方法有效提升了系统调峰能力,较常规调度方式而言,可再生能源的消纳率提高了4.27%,系统运行成本减少了5.37%。
With the adjustment of China’s energy structure under the“double carbon”target,the large-scale grid-connected generation of renewable energy puts forward higher requirements for the operation flexibility of the system.The insufficient peak shaving ability of the system seriously affects the environmental protection and economy of the system operation.Based on this,a stochastic optimal scheduling model considering demand response and thermal power with storage participating in deep peak shaving was constructed.The introduction of price response in the demand side enhances the initiative of users to participate in load regulation to optimize the load curve of the next day and reduce the peak-valley difference.Energy storage was installed in the thermal power side to assist the operation of thermal power units when they enter the deep peak shaving state,so as to improve the peak shaving ability of thermal power units.At the same time,considering the wind and solar output error,the system reserve constraint based on opportunity constraint condition was constructed,and the deterministic transformation method of stochastic simulation was adopted.Finally,the two objective functions of renewable energy abandonment rate and system operation cost were optimized.The simulation results show that the proposed method effectively improves the peaking capacity of the system.Compared with the conventional scheduling method,the consumption rate of renewable energy is increased by 4.27%,and the operation cost of the system is reduced by 5.37%.
作者
陈奥洁
周云海
石亮波
李伟
宋德璟
CHEN Ao-jie;ZHOU Yun-hai;SHI Liang-bo;LI Wei;SONG De-jing(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443000,China)
出处
《科学技术与工程》
北大核心
2023年第3期1087-1095,共9页
Science Technology and Engineering
基金
国家重点研发计划(2019YFB1505400)。
关键词
深度调峰
可再生能源消纳
需求响应
灵活性
储能
deep peak regulation
renewable energy consumption
demand respond
flexibility
energy storage
作者简介
第一作者:陈奥洁(1998-),男,汉族,湖北宜昌人,硕士研究生。研究方向:电力系统运行与规划。E-mail:caj_ss@qq.com;通信作者:周云海(1972-),男,汉族,湖北宜昌人,博士,教授。研究方向:电力系统运行与控制。E-mail:zhouyunhai@ctgu.edu.cn。
