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Research on dynamic optimal dispatching strategy of electric heating load in distribution network considering the bearing capacity of new energy
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Huan Wang1, Shenglin Liu2, Zhongnan Feng2, Mingming Yu2, Zhenjia Li1
Renewable Energy Resources | 2024, 42(1) : 104 - 111
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Renewable Energy Resources | 2024, 42(1): 104-111
Research on dynamic optimal dispatching strategy of electric heating load in distribution network considering the bearing capacity of new energy
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Huan Wang1, Shenglin Liu2, Zhongnan Feng2, Mingming Yu2, Zhenjia Li1
Affiliations
  • 1 School of Electric Power, Shenyang Institute of Engineering Shenyang 110136 China
  • 2 Liaoyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd. Liaoyang 111000 China
Published: 2024-01-20
Outline
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With the increasing penetration rate of new energy in the distribution network, the bearing capacity of new energy in the distribution network is facing challenges; The electric heating load has a certain degree of adjustability and has the potential to participate in the load dispatch of the distribution network. How to improve the new energy bearing capacity of the distribution network through load dispatch has important practical significance. The article proposes a dynamic optimization scheduling strategy for electric heating loads in distribution networks that considers the bearing capacity of new energy. Firstly, a regulation model for the load of thermal storage electric heating was constructed; Then, with the goal of bearing capacity of new energy in the distribution network substation area, and with the constraints of smoothing load fluctuations, stable and safe operation of the distribution network, and user comfort of the heating load, a dynamic optimization scheduling model for the heating load of the distribution network was established, and a solution strategy based on quantum genetic algorithm was proposed. The Latin hypercube sampling method is used to generate typical application scenarios for the applicability analysis of dispatching strategies for the new energy bearing capacity of distribution networks. The calculation results show that the proposed method can fully consider the potential for regulating the electric heating load and improve the application level of new energy in the distribution network.

new energy  /  bearing capacity  /  distribution network  /  electric heating load  /  quantum genetic algorithm
Huan Wang, Shenglin Liu, Zhongnan Feng, Mingming Yu, Zhenjia Li. Research on dynamic optimal dispatching strategy of electric heating load in distribution network considering the bearing capacity of new energy[J]. Renewable Energy Resources, 2024 , 42 (1) : 104 -111 .
Year 2024 volume 42 Issue 1
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Article Info
  • Receive Date:2023-07-18
  • Online Date:2025-07-22
  • Published:2024-01-20
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  • Received:2023-07-18
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Affiliations
    1 School of Electric Power, Shenyang Institute of Engineering Shenyang 110136 China
    2 Liaoyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd. Liaoyang 111000 China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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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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