电力系统自动化2026，Vol.50Issue(2)：27-34,8.DOI:10.7500/AEPS20240329007
陶瓷生产流程的负荷转移特性建模与需求侧响应优化方法
Modeling of Load Transfer Characteristics and Optimization Method of Demand Side Response for Ceramic Production Process
摘要
Abstract
The industrial loads of energy-intensive enterprises,represented by ceramic production,account for a large proportion of electricity consumption.Represented ceramic production,electricity consumption characteristics of their production processes are adjustable,which is an important resource to participate in demand side response.This paper proposes an optimization method for"load transfer"characteristic modeling and electricity consumption characteristics of ceramic production process oriented towards demand side response.Firstly,the characteristic model of electricity consumption is constructed according to the ceramic production process.The relationship between electricity consumption characteristics of the production process and storage capacity is portrayed.Secondly,from the perspective of electricity consumption characteristics,the equipment with load transfer characteristics and its storage capacity are portrayed.The load transfer characteristic model of the ceramic production process is established.Thirdly,the optimal dispatch method for ceramic enterprises to participate in demand side response is proposed by taking the comprehensive revenue as the optimization objective,the safety of the production process as the constraint,and the load transfer characteristics of the electricity consumption of equipment as the control variable.Finally,the production process of an architectural ceramic enterprise is used as a case to verify the effectiveness and feasibility of the proposed method.关键词
陶瓷/生产流程/高载能企业/优化调度/负荷转移/需求侧响应/用电/优化Key words
ceramic/production process/energy-intensive enterprise/optimal dispatch/load transfer/demand side response/electricity consumption/optimization引用本文复制引用
黄潇扬,雪映,蔡煜,张延旭,蔡泽祥..陶瓷生产流程的负荷转移特性建模与需求侧响应优化方法[J].电力系统自动化,2026,50(2):27-34,8.基金项目
广东省重点领域研发计划资助项目(2019B111109002) This work is supported by Key-area R&D Program of Guangdong Province(No.2019B111109002). （2019B111109002）
