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1.华南理工大学电力学院,广东省广州市 510641
2.广东新型储能国家研究院有限公司,广东省广州市 510410
3.南方电网电力科技股份有限公司,广东省广州市 510080
Received:29 March 2024,
Revised:2024-11-25,
Online First:17 January 2025,
Published:25 January 2026
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黄潇扬,雪映,蔡煜等.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.
HUANG Xiaoyang,XUE Ying,CAI Yu,et al.Modeling of Load Transfer Characteristics and Optimization Method of Demand Side Response for Ceramic Production Process[J].Automation of Electric Power Systems,2026,50(2):27-34.
黄潇扬,雪映,蔡煜等.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. DOI: 10.7500/AEPS20240329007.
HUANG Xiaoyang,XUE Ying,CAI Yu,et al.Modeling of Load Transfer Characteristics and Optimization Method of Demand Side Response for Ceramic Production Process[J].Automation of Electric Power Systems,2026,50(2):27-34. DOI: 10.7500/AEPS20240329007.
以陶瓷生产为代表的高载能企业的工业负荷用电量占比大,其生产流程的用电特性具有一定的可调节能力,是参与需求侧响应的重要资源。文中提出一种面向需求侧响应的陶瓷生产流程的“负荷转移”特性建模与用电特性优化方法。首先,根据陶瓷生产流程构建其用电特性模型,刻画生产流程用电特性和仓储容量之间的关系。其次,从用电量特性的角度刻画具有负荷转移特性的设备及其仓储容量,建立了陶瓷生产流程的负荷转移特性模型。再次,以综合收益为优化目标,以生产流程安全为约束,以负荷转移特性设备用电情况为控制变量,提出了陶瓷企业参与需求侧响应的优化调度方法。最后,以某建筑陶瓷企业生产流程为算例,验证了所提方法的有效性与可行性。
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.
ZHANG Y F , GUO S Y , SHI X P , et al . A market instrument to achieve carbon neutrality: is China’s energy-consumption permit trading scheme effective? [J]. Applied Energy , 2021 , 299 : 117338 .
张新 , 岳园园 , 曾好 , 等 . 面向电网规划的重点需求侧资源响应潜力评估方法 [J]. 电力系统自动化 , 2023 , 47 ( 16 ): 162 - 170 .
ZHANG Xin , YUE Yuanyuan , ZENG Hao , et al . Response potential evaluation method of key demand-side resources for power grid planning [J]. Automation of Electric Power Systems , 2023 , 47 ( 16 ): 162 - 170 .
任景 , 周鑫 , 程松 , 等 . 计及负荷侧响应的高载能与新能源综合调度研究 [J]. 能源与环保 , 2023 , 45 ( 4 ): 239 - 244 .
REN Jing , ZHOU Xin , CHENG Song , et al . Comprehensive scheduling of high load capacity and new energy with load-side response included [J]. China Energy and Environmental Protection , 2023 , 45 ( 4 ): 239 - 244 .
范宇辉 , 姜婷玉 , 黄奇峰 , 等 . 基于画像的工业园区需求响应潜力评估 [J]. 电力系统自动化 , 2024 , 48 ( 1 ): 41 - 49 .
FAN Yuhui , JIANG Tingyu , HUANG Qifeng , et al . Portrait-based assessment on demand response potential of industrial parks [J]. Automation of Electric Power Systems , 2024 , 48 ( 1 ): 41 - 49 .
韩刚 , 黎雄 , 徐箭 , 等 . 计及需求响应下典型工业负荷排放特性的环境经济调度 [J]. 电力系统自动化 , 2023 , 47 ( 8 ): 109 - 119 .
HAN Gang , LI Xiong , XU Jian , et al . Environmental economic dispatch considering emission characteristics of typical industrial loads under demand response [J]. Automation of Electric Power Systems , 2023 , 47 ( 8 ): 109 - 119 .
晋宏杨 , 孙宏斌 , 牛涛 , 等 . 考虑风电与高载能负荷调度不确定性的鲁棒机组组合 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 13 - 20 .
JIN Hongyang , SUN Hongbin , NIU Tao , et al . Robust unit commitment considering uncertainties of wind and energy intensive load dispatching [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 13 - 20 .
王睿卓 , 刘怀东 , 崔丽瑶 , 等 . 计及综合效率评价的火-风-储-高载能企业虚拟电厂成员选择模型 [J]. 电网技术 , 2021 , 45 ( 5 ): 1942 - 1951 .
WANG Ruizhuo , LIU Huaidong , CUI Liyao , et al . Member selection model of thermal-wind-storage-EIE virtual power plant considering comprehensive efficiency evaluation [J]. Power System Technology , 2021 , 45 ( 5 ): 1942 - 1951 .
BAO Y , XU J , FENG W , et al . Provision of secondary frequency regulation by coordinated dispatch of industrial loads and thermal power plants [J]. Applied Energy , 2019 , 241 : 302 - 312 .
XUE K P , YANG Q Y , LI S H , et al . PPSO: a privacy-preserving service outsourcing scheme for real-time pricing demand response in smart grid [J]. IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 2486 - 2496 .
曹昉 , 李欣宁 , 刘思佳 , 等 . 基于消费者参考价格决策及用户黏性的售电套餐优化 [J]. 电力系统自动化 , 2018 , 42 ( 14 ): 67 - 74 .
CAO Fang , LI Xinning , LIU Sijia , et al . Optimization of sales package for end-users based on user stickiness and reference pricing decision of consumers [J]. Automation of Electric Power Systems , 2018 , 42 ( 14 ): 67 - 74 .
GOLMOHAMADI H , KEYPOUR R , BAK-JENSEN B , et al . Robust self-scheduling of operational processes for industrial demand response aggregators [J]. IEEE Transactions on Industrial Electronics , 2020 , 67 ( 2 ): 1387 - 1395 .
丁鑫 , 徐箭 , 孙元章 , 等 . 联网型高耗能电解铝工业电网源荷协调平抑风电功率波动控制策略 [J]. 电力自动化设备 , 2022 , 42 ( 11 ): 47 - 55 .
DING Xin , XU Jian , SUN Yuanzhang , et al . Source-load coordinated control strategy for smoothing wind power fluctuation in grid-connected high energy consuming electrolytic aluminum industrial power grid [J]. Electric Power Automation Equipment , 2022 , 42 ( 11 ): 47 - 55 .
许春蕾 . 以消纳风电为目标的需求侧负荷响应控制策略 [D]. 北京 : 华北电力大学 , 2020 .
XU Chunlei . Demand-side load response control strategy with the goal of consuming wind power [D]. Beijing : North China Electric Power University , 2020 .
CUI H B , ZHOU K L . Industrial power load scheduling considering demand response [J]. Journal of Cleaner Production , 2018 , 204 : 447 - 460 .
RAMIN D , SPINELLI S , BRUSAFERRI A . Demand-side management via optimal production scheduling in power-intensive industries: the case of metal casting process [J]. Applied Energy , 2018 , 225 : 622 - 636 .
丁建顺 , 尤佳 , 周永刚 , 等 . 考虑需求响应和风险规避的虚拟电厂最优调度 [J]. 智慧电力 , 2023 , 51 ( 3 ): 79 - 86 .
DING Jianshun , YOU Jia , ZHOU Yonggang , et al . Optimal scheduling of virtual power plants considering demand response and risk aversion [J]. Smart Power , 2023 , 51 ( 3 ): 79 - 86 .
刘至纯 , 李华强 , 王俊翔 , 等 . 基于多时间尺度综合需求响应策略的综合能源系统优化运行 [J]. 电力建设 , 2022 , 43 ( 9 ): 54 - 65 .
LIU Zhichun , LI Huaqiang , WANG Junxiang , et al . Optimal operation of integrated energy system based on multi-time scale integrated demand response strategy [J]. Electric Power Construction , 2022 , 43 ( 9 ): 54 - 65 .
丁雨昊 , 吕干云 , 刘永卫 , 等 . 考虑碳排放目标约束和需求侧响应的综合能源系统日前优化调度 [J]. 南方电网技术 , 2022 , 16 ( 8 ): 1 - 11 .
DING Yuhao , LÜ Ganyun , LIU Yongwei , et al . Day-ahead optimal scheduling of integrated energy system considering carbon emission target constraints and demand side response [J]. Southern Power System Technology , 2022 , 16 ( 8 ): 1 - 11 .
向佳霓 , 赵建立 , 唐啸 , 等 . 虚拟电厂下建筑负荷与储能系统调度策略研究 [J]. 现代建筑电气 , 2021 , 12 ( 12 ): 1 - 5 .
XIANG Jiani , ZHAO Jianli , TANG Xiao , et al . Research on scheduling strategy of building load and energy storage system in virtual power plant [J]. Modern Architecture Electric , 2021 , 12 ( 12 ): 1 - 5 .
杨颖 , 刘友波 , 黄媛 , 等 . 电能替代下考虑需求响应的综合园区风光储配置方法 [J]. 电力建设 , 2021 , 42 ( 10 ): 9 - 18 .
YANG Ying , LIU Youbo , HUANG Yuan , et al . Allocation of wind-solar-battery under electric energy substitution in integrated park considering demand response [J]. Electric Power Construction , 2021 , 42 ( 10 ): 9 - 18 .
YU M M , LU R Z , HONG S H . A real-time decision model for industrial load management in a smart grid [J]. Applied Energy , 2016 , 183 : 1488 - 1497 .
张海亮 , 王艺博 , 蔡国伟 , 等 . 面向风电消纳与电熔镁高载能负荷调控的源荷协调优化策略 [J]. 电工技术学报 , 2022 , 37 ( 17 ): 4401 - 4410 .
ZHANG Hailiang , WANG Yibo , CAI Guowei , et al . Source-load coordination optimization strategy for wind power accommodation and high energy load regulation of electric fused magnesium [J]. Transactions of China Electrotechnical Society , 2022 , 37 ( 17 ): 4401 - 4410 .
谢传治 , 尹玉君 , 税朝会 , 等 . 高载能负荷参与消纳弃风/弃光控制系统实现方法 [J]. 自动化应用 , 2021 ( 2 ): 99 - 100 .
XIE Chuanzhi , YIN Yujun , SHUI Chaohui , et al . The realization method of the high-energy load participating in the elimination of wind/light abandonment control system [J]. Automation Application , 2021 ( 2 ): 99 - 100 .
吴彤 , 杨毓隆 , 马兆利 . 陶瓷生产智能化在球磨动力节能降耗方面的应用探索 [J]. 陶瓷 , 2022 ( 5 ): 38 - 41 .
WU Tong , YANG Yulong , MA Zhaoli . Application of intelligent ceramic production in energy saving and consumption reduction of ball grinding power [J]. Ceramics , 2022 ( 5 ): 38 - 41 .
LIU Z , WANG X H , ZHANG Q , et al . Empirical mode decomposition based hybrid ensemble model for electrical energy consumption forecasting of the cement grinding process [J]. Measurement , 2019 , 138 : 314 - 324 .
李艳青 . 钢铁企业用电量预测模型研究 [J]. 河南冶金 , 2021 , 29 ( 2 ): 49 - 52 .
LI Yanqing . Research on forecasting model of electricity consumption in iron and steel enterprises [J]. Henan Metallurgy , 2021 , 29 ( 2 ): 49 - 52 .
汤伦发 . 基于GRNN算法的水泥企业电力负荷预测模型 [J]. 广东化工 , 2019 , 46 ( 11 ): 102 - 103 .
TANG Lunfa . GRNN algorithm based load forecasting model for cement enterprises [J]. Guangdong Chemical Industry , 2019 , 46 ( 11 ): 102 - 103 .
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