摘要
在用户侧灵活性资源未充分开发的背景下,需要对高耗能机械加工企业生产流程进行优化研究。以机械加工企业的柔性负荷为切入点,通过梳理机械加工企业的用电特性,进而分析不同生产设备和不同柔性负荷之间的对应关系,并建立参与需求响应交易收益计算模型。在此基础上,再加入光储协同模型,从而建立了完整的面向需求响应的机械加工生产流程优化及光储协同策略。该模型充分考虑柔性负荷对应的生产设备工作约束和光储设备的工作约束,以总收益最大化为目标,对机械加工企业的生产流程进行优化,得到优化后的柔性负荷对应的生产设备的工作流程,以及能获取的最大收益。最后以某铜管加工企业进行仿真验证,证明了该优化策略能有效提高机械加工企业的经济性,并能提高对新能源的消纳率。
Under the background of insufficient development of user-side flexible resources,it is necessary to conduct optimization research on the production process of high energy-consuming machining industry.This paper takes the flexible load of the mechani⁃cal processing as the starting point,analyzes the corresponding relationship between different equipments and flexible loads by sorting out the electricity consumption characteristics of the mechanical processing,and establishes a calculation model for demand response transactions.On this basis,the photovoltaic-storage synergy model is added to establish a complete demand response oriented mechanical processing production process optimization and solar-storage synergy strategy.This model considers the work constraints of the production equipment corresponding to the flexible load and constraints of the photovoltaic-storage equipment,with the goal of maximizing the total revenue,optimizes the production process of mechanical processing enterprise,and obtains the optimized work flow of the production equipment corresponding to the flexible load,and the maximum benefit that can be obtained.Finally,a copper pipe processing enterprise is used for simulation verification.The calculation example shows that the optimization strategy can ef⁃fectively improve the economy of the machining industry and increase the consumption rate of new energy.
作者
黄潇扬
蔡泽祥
李进
武志刚
苏卓
刘嘉宁
HUANG Xiaoyang;CAI Zexiang;LI Jin;WU Zhigang;SU Zhuo;LIU Jianing(College of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;Power Dispatching and Control Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510060,China)
出处
《南方电网技术》
CSCD
北大核心
2024年第10期142-150,共9页
Southern Power System Technology
基金
广东省重点领域研发计划资助项目(2019B111109002)。
关键词
需求响应交易
柔性负荷
储能系统
光伏机组
demand response transaction
flexible load
energy storage system
photovoltaic unit