Multi-objective scheduling algorithm of demand-side power resources considering multi-industry load characteristics

The imbalance between supply and demand of demand-side power resources in power system leads to large power load, unstable power load and low completion rate of multi-objective scheduling. Therefore, this paper designs a multi-objective scheduling algorithm for demand-side power resources considering multi-industry load characteristics. Considering the minimization of economic cost and the maximization of environmental benefits, a multi-objective scheduling function of demand-side electricity resources is established, and the load characteristics of multiple industries are analyzed. According to the scheduling task requirements in the power system, the scheduling task is mapped to resources, and the storage energy boundary of resources is calculated according to the mapping results, and the quantitative characteristics of demand-side electricity resources are extracted. Define the partition of comprehensive electricity consumption, determine the range of multi-objective scheduling coefficient, and solve the multi-objective scheduling function of demand-side electricity resources. The experimental results show that the power load of the algorithm in this paper is small during the peak power consumption period, and the scheduling task completion rate is high, which has good scheduling effect.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eeice65049.2025.11033992
Primary Topic
Energy Load and Power Forecasting
Type
article
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Multi-objective scheduling algorithm of demand-side power resources considering multi-industry load characteristics

Shian Zhan, Xuying Liu, Wuxiao Chen, Xuan Deng et al.
Energy Load and Power Forecasting
article

Multi-objective scheduling algorithm of demand-side power resources considering multi-industry load characteristics

Shian Zhan, Xuying Liu, Wuxiao Chen, Xuan Deng, Chenhan Zhang
article en

Abstract

The imbalance between supply and demand of demand-side power resources in power system leads to large power load, unstable power load and low completion rate of multi-objective scheduling. Therefore, this paper designs a multi-objective scheduling algorithm for demand-side power resources considering multi-industry load characteristics. Considering the minimization of economic cost and the maximization of environmental benefits, a multi-objective scheduling function of demand-side electricity resources is established, and the load characteristics of multiple industries are analyzed. According to the scheduling task requirements in the power system, the scheduling task is mapped to resources, and the storage energy boundary of resources is calculated according to the mapping results, and the quantitative characteristics of demand-side electricity resources are extracted. Define the partition of comprehensive electricity consumption, determine the range of multi-objective scheduling coefficient, and solve the multi-objective scheduling function of demand-side electricity resources. The experimental results show that the power load of the algorithm in this paper is small during the peak power consumption period, and the scheduling task completion rate is high, which has good scheduling effect.

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Energy Load and Power Forecasting
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Multi-objective scheduling algorithm of demand-side power resources considering multi-industry load characteristics — Shian Zhan, Xuying Liu, et al. · (2025) | TGRS Research Map | TGRS