Evaluation Method for Demand Response Interval of Cement Industry Users Considering Multiple Uncertainties

doi:10.16183/j.cnki.jsjtu.2024.448

Abstract

Abstract:

To accurately evaluate the demand response capability of cement industry users for the operation of power system under the fluctuations of process multivariate loads and wind and photovoltaic generation, an evaluation method for the demand response interval of cement industry users considering multiple uncertainties is proposed. First, a box uncertainty set is employed to describe the fluctuation characteristics of process multivariate loads and wind and photovoltaic generation in cement industry users, and the mapping relationship between uncertainty width and conservatism parameter is established. Based on this, the constraints of conservatism parameter are improved, and adaptive optimization of conservatism parameter is used to address the coupling influence among process multivariate loads. Then, a robust optimization evaluation model of the demand response interval of cement industry users with the lowest operating cost as the objective function is built, and the column and constraint generation algorithm is adopted to obtain the operating status of each process equipment. The external response power is used as the boundary to evaluate the demand response interval of cement industry users. Finally, the numerical example shows that the proposed method can effectively evaluate the demand response interval of cement industry users at optimal cost while considering the fluctuations influence of process multivariate loads and wind and photovoltaic generation, providing guidance for cement industry users to participate in power grid dispatching and power trading.

Key words: cement industry user, multivariate load, uncertainty, demand response interval

CLC Number:

TM714

DUAN Yao, GAO Chong, WANG Xiaoyan, ZHANG Shenxi, CHENG Haozhong, CHENG Ran, ZHANG Junxiao, XU Zhiheng. Evaluation Method for Demand Response Interval of Cement Industry Users Considering Multiple Uncertainties[J]. Journal of Shanghai Jiao Tong University, 2026, 60(7): 1130-1140.

Figures/Tables 12

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设备	数量	额定功率/kW	物料产率/ (t·h^-1)	物料容量上下限/t
原料破碎机	2	800	400
原料储备库	1	100		80000/15000
生料粉磨机	1	8900	500
生料储备库	1	100		15000/0
回转窑	1	6000	280/140
熟料储备库	1	100		82500/0
水泥粉磨机	1	9000	320
煤粉库	1	100		1000/0
煤磨机	1	800	35

储能参数	需求响应预期收益	运行成本
无储能配置	12.46	54.97
1 MW/2 MW·h	13.11	54.06
2 MW/4 MW·h	13.76	53.16
3 MW/6 MW·h	14.40	52.26

场景	需求响应预期收益	运行成本
1	15.00	46.63
2	13.76	53.16
3	16.24	40.95

优化场景	需求响应预期收益	运行成本
4	14.90	49.05
5	14.48	51.78