A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises

doi:10.7652/xjtuxb201308005

您当前的位置：

首页 >

文章列表页 >

A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises

更新时间：2025-05-08

- A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises
- Vol. 47, Issue 8, Pages: 26-32(2013)
- 作者机构：
  
  1. 西安交通大学电子与信息工程学院,西安,710049
  2. 西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201308005
  CLC： TP391.9
- Online First：10 August 2013，
  
  Published：2013
- 稿件说明：
移动端阅览
A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises[J]. 2013, 47(8): 26-32.
DOI：

A Bi-Objective Programming Model for Gateway Balance Problem in Energy Intensive Enterprises[J]. 2013, 47(8): 26-32. DOI： 10.7652/xjtuxb201308005.

摘要

针对高耗能企业关口平衡问题的多解性特点

提出了关口平衡双目标规划模型

以研究关口平衡合格率、关口流量和机组出力波动性之间的关系。采用线性规划对关口平衡问题进行建模分析

以整个调度周期内不满足关口平衡条件的关口流量惩罚值总和最小作为模型的第一优化目标

并引入整个调度周期内机组调节量惩罚值总和最小作为第二优化目标

分别采用线性加权求和法和分层序列优化法对该双目标优化模型进行求解。基于国内某大型钢铁企业数据的实验结果表明

双目标规划模型能够在不增加关口流量惩罚值总和的情况下

有效减少机组出力波动。

Abstract

The gateway balance problem has the characteristics of multiple solutions. A bi-objective programming model is hence proposed to study the relations among the qualified rate of gateway balance condition

the gateway flow

and the fluctuation of generation schedule curve. Linear programming is used in gateway balance problem modeling. The first optimization objective of the model is to minimize the total penalty for violations of gateway balance conditions across the entire scheduling cycle

and the second one is to minimize the total penalty for fluctuation of generation schedule curve across the entire scheduling cycle. The linear weighting method and delaminating sequence optimization method are respectively used to solve the model. Numerical tests on an iron and steel plant show that the model effectively reduces the fluctuation of the generation schedule curve without increasing the total penalty for violation of gateway balance condition across the entire time horizon.

关键词

Keywords

references

IPAKCHI A, ALBUYEH F. Grid of the future [J]. IEEE Power and Energy Magazine, 2009,7(2):52-62.

KIRSCHEN D S. Demand-side view of electricity markets [J]. IEEE Transactions on Power Systems, 2003,18(2):520-527.

I M H, EL-SAADANY E F. A summary of demand response in electricity markets [J]. Electric Power Systems Research, 2008,78(11):1986-1996.

PAULUS M, BORGGREFE F. The potential of demand-side management in energy intensive industries for electricity markets in Germany [J]. Applied Energy, 2011,88(2):432-441.

ROOSE J G, LANE I E. Industrial power demand response analysis for one-part real-time pricing [J]. IEEE Transactions on Power Systems, 1998,13(1):159-164.

ASHOK S. Peak-load management in steel plants [J]. Applied Energy, 2005,83(5):413-424.

ASHOK S, BANERJEE R. An optimization mode for industrial load management [J]. IEEE Transactions on Power Systems, 2001,16(4):879-884.

BABU C A, ASHOK S. Peak load management in electrolytic process industries [J]. IEEE Transactions on Power Systems, 2008,23(2):399-405.

ASHOK S, BANERJEE R. Optimal operation of industrial cogeneration for load management [J]. IEEE Transactions on Power Systems, 2003,18(2):931-937.

OSTADIA B, MOAZZAMIB D, REZAIEC K. A non-linear programming model for optimization of the electrical energy consumption in typical factory [J]. Applied Mathematics and Computation, 2007,187(2):944-950.

NOLDEL K, MORARI M. Electrical load tracking scheduling of a steel plant [J]. Computers and Chemical Engineering, 2010,34(11):1899-1903.

HAIT A, ARTIGUES C. On electrical load tracking scheduling for a steel plant [J]. Computers and Chemical Engineering, 2011,35(12):3044-3047.

管晓宏,翟桥柱,冯泳翰,等. 一类含积分约束的生产制造系统优化调度 [J]. 中国科学:E, 2010,40(1):41-51.

GUAN Xiaohong, ZHAI Qiaozhu, FENG Yonghan, et al. Optimization based scheduling for a class of production systems with integral constraints [J]. Science in China:Series E, 2010,40(1):41-51.

高云龙,高峰,翟桥柱,等. 大型用电企业关口平衡问题研究 [J]. 中国电机工程学报, 2009,28(19):71-77.

GAO Yunlong, GAO Feng, ZHAI Qiaozhu, et al. Balance analysis of large-scale power consuming corporation [J]. Proceedings of the CSEE, 2009,29(19):70-77.

高云龙,高峰,潘金艳,等. 高耗能企业关口平衡优化调度及其输出功率控制方式 [J]. 中国电机工程学报, 2010,30(19):76-83.

GAO Yunlong, GAO Feng, PAN Jinyan, et al. Self-scheduling for electrical energy balance and output power control of energy-intensive enterprises [J]. Proceedings of the CSEE, 2010,30(19):76-83.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

I/O Performance Modeling and Prediction Method for Large-Scale Parallel Applications Using Machine Learning

Mechanism and Optimal Control Strategy for Hysteresis in Rapid Dehumidification Response of Indirect Thermal Systems in Electric Vehicles

Energy Efficiency Optimization of the Cryogenic Air Separation Process for Electronic-Grade Ultra Pure Nitrogen

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

Sensitivity Analysis of Foil Geometrical Parameters for the Third-Generation CO2 Gas Foil Bearings Based on Design of Experiments Method

Related Author

No data

Related Institution

No data

⁰