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Distributed Collaborative Control of Electricity Load in Distribution Networks Based on Source-Load Uncertainty
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Shunxin LI, Xuan ZHAO, Yinan ZHAO, Min YANG, Shaoqiao DONG
Electric Drive | 2024, 54(12) : 54 - 60
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Electric Drive | 2024, 54(12): 54-60
Distributed Collaborative Control of Electricity Load in Distribution Networks Based on Source-Load Uncertainty
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Shunxin LI, Xuan ZHAO, Yinan ZHAO, Min YANG, Shaoqiao DONG
Affiliations
  • State Grid Jibei Electric Power Co.,Ltd. Economic and Technological Research Institute,Beijing 100070,China
Published: 2024-12-20 doi: 10.19457/j.1001-2095.dqcd25658
Outline
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With the continuous increase in the scale of distribution network construction and operation,a large number of electricity load control problems have emerged,especially the weakening of sample time series characteristics in electricity load data analysis,resulting in incomplete acquisition of local load characteristics,making it impossible for the distribution network electricity load prediction system to maintain the balance of energy in the power grid. In the past,the impact of "source-load" uncertainty was also rarely considered in the distribution network electricity load processing and distribution,which can easily lead to low probability of electricity load classification recognition,significant errors in electricity load prediction,and long-term problems such as high generation costs and insufficient distribution balance. In response to the above situation,the uncertainty of "source" and "load" was conducted research through probability distribution functions. A multi-objective function composed of two probability distribution functions was set as the constraint conditions for the coordinated output balance. The improved cluster eddy current search algorithm was used to solve the problem,and a coordinated control scheme for electricity load was obtained. The test results show that at 17:00,the power of photovoltaic device 1 is 1 050 kW, at 11:00,the power of photovoltaic device 2 is 980 kW,based on the source-load uncertainty root-mean-square error of less than 0.7%. The cost of the scheme based on "source-load" uncertainty is 453 200 yuan,and the balance degree is 0.94. The collaborative control method based on "source-load" uncertainty has a higher balance than the collaborative control method without "source-load" uncertainty,and the collaborative control technology is more reasonable.

“source-load” uncertainty  /  distribution network  /  electricity load  /  collaborative output model  /  distributed  /  control technology
Shunxin LI, Xuan ZHAO, Yinan ZHAO, Min YANG, Shaoqiao DONG. Distributed Collaborative Control of Electricity Load in Distribution Networks Based on Source-Load Uncertainty[J]. Electric Drive, 2024 , 54 (12) : 54 -60 . DOI: 10.19457/j.1001-2095.dqcd25658
Year 2024 volume 54 Issue 12
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Article Info
doi: 10.19457/j.1001-2095.dqcd25658
  • Receive Date:2024-02-26
  • Online Date:2025-12-10
  • Published:2024-12-20
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  • Received:2024-02-26
  • Revised:2024-04-02
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    State Grid Jibei Electric Power Co.,Ltd. Economic and Technological Research Institute,Beijing 100070,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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