Low-carbon optimal scheduling for distribution networks under supply and demand uncertainty

被引：0
作者：
Nan, Yu [1 ]
Li, Zhi [1 ]
Gao, Xin [1 ]
Kou, Xiaoshi [1 ]
机构：
[1] Henan Kaifeng Power Supply Company, Henan, Kaifeng
来源：
Frontiers in Physics | 2024年 / 12卷
关键词：
chance-constrained approach; distribution networks; low-carbon scheduling model; real-world optimization; uncertainty;
D O I：
10.3389/fphy.2024.1514628
中图分类号：
学科分类号：
摘要：
This paper presents a low-carbon optimal scheduling model for distribution networks with wind and photovoltaic (PV), accounting for supply and demand uncertainties. The model optimizes thermal generation costs, wind and PV maintenance costs, and carbon emissions using a chance-constrained approach with fuzzy variables. The clear equivalent class method simplifies these constraints for easier problem-solving. Validation on the IEEE-30 node system shows the model reduces costs by 32.9% and carbon emissions by 19.2% compared to traditional scheduling, effectively lowering both costs and the carbon footprint. This real-world optimization approach tackles uncertainty in renewable energy supply and improves system efficiency and sustainability. Copyright © 2024 Nan, Li, Gao and Kou.
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  • [1] Qiuye S., Xiaohan Y., Jingao W., Discussion on challenges and countermeasures of “double-high” power distribution system, Proc CSEE, 1-21, 44, pp. 7115-7136, (2024)
  • [2] Jordehi A.R., How to deal with uncertainties in electric power systems? a review, Renew Sustain Energ Rev, 96, pp. 145-155, (2018)
  • [3] Cui Mingyong H.L.E.A., He J., Robust low-carbon economic scheduling of power system based on wind power consumption evaluation, J Solar Energ, 41, pp. 270-280, (2020)
  • [4] Morales-Espana G., Martinez-Gordon R., Sijm J., Classifying and modelling demand response in power systems, Energy, 242, (2022)
  • [5] Li Q., Jiang Y., Du C., Zhou H., Chen T., Low-carbon optimization of distribution networks under the consideration of new energy integration, J Phys Conf Ser, 2659, (2023)
  • [6] Tianrui Z., Chongqing K., Qianyao X., Study on carbon emission flow analysis theory of electric power system, Automation Electric Power Syst, 36, pp. 38-43, (2012)
  • [7] Zhou Tianrui X.Q.E.A., Kang C., Characteristics and mechanism analysis of carbon emission flow distribution in electric power networks, pp. 39-44, (2012)
  • [8] Kang C., Zhou T., Chen Q., Wang J., Sun Y., Xia Q., Et al., Carbon emission flow from generation to demand: a network-based model, IEEE Trans smart grid, 6, pp. 2386-2394, (2015)
  • [9] Cao Yitao J.H.E.A., Wang D., Two-layer game expansion planning for regional integrated energy systems considering multi-energy carbon flow constraints, Automation Electric Power Syst, 47, pp. 12-22, (2023)
  • [10] Shen W., Qiu J., Meng K., Chen X., Dong Z.Y., Low-carbon electricity network transition considering retirement of aging coal generators, IEEE Trans Power Syst, 35, pp. 4193-4205, (2020)
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