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Optimization Method for Maximum Power Supply Capacity of UHV Complex Large Power Grid Considering Section Coupling Control
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Wen-zhe CHEN1, Mu-tao HUANG2a, Qun-shan LI1, Ling-kang ZENG1, Ke-fan ZHU1, Su-hua GAO2b, Xing-bang CHEN2a
Water Resources and Power | 2023, 41(11) : 217 - 221
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Water Resources and Power | 2023, 41(11): 217-221
ELECTRICAL ENGINEERING
Optimization Method for Maximum Power Supply Capacity of UHV Complex Large Power Grid Considering Section Coupling Control
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Wen-zhe CHEN1, Mu-tao HUANG2a, Qun-shan LI1, Ling-kang ZENG1, Ke-fan ZHU1, Su-hua GAO2b, Xing-bang CHEN2a
Affiliations
  • 1.Central China Branch of State Grid Corporation of China, Wuhan 430077, China
  • 2a.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2b.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20230750
Outline
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The calculation of maximum power supply capacity is an important issue in optimal operation of UHV complex large power grid. With the large-scale access of high-proportion renewable energy to the power grid, the problem of power and energy balance is becoming more and more prominent. Considering the stability spinning constraint, coupling section constraint and unit regulation capacity constraint, the calculation problem of maximum power supply capacity presents high-dimensional characteristics, which is difficult to model and solve. According to the limitation of transmission section and the characteristics of partition operation of UHV complex large power grid, an optimal dispatching model of maximum power supply capacity of UHV complex large power grid considering section coupling control was established. Then, the Simplex method (SM), Interior Point method (IP), Simulated Annealing (SA), Beluga Whale Optimization (BWO) and Artificial bee colony algorithm (ABC) were applied to solve the model respectively, and the maximum power supply capacity of the large power grid in the next 15 minutes was calculated. The coordinated optimization scheme of various types of power supply and reserve was proposed. Finally, a regional power grid was taken as an example to verify the model and the solution method. The simulation results show that because of the large scale of the power system and the complex coupling relationship between the sections, the heuristic intelligent optimization algorithm has a long running time, slow convergence speed and low search accuracy. The interior point method converges rapidly, has strong robustness, is insensitive to the selection of initial values, has better stability and computational efficiency, which can provide effective and practical support for power supply and power balance of complex UHV power.

UHV complex large power grid  /  divisional grid  /  maximum power supply capacity  /  coordinated optimization of multiple power sources and reserve capacity  /  cross section coupling control  /  interior-point method  /  heuristic intelligent optimization algorithm
Wen-zhe CHEN, Mu-tao HUANG, Qun-shan LI, Ling-kang ZENG, Ke-fan ZHU, Su-hua GAO, Xing-bang CHEN. Optimization Method for Maximum Power Supply Capacity of UHV Complex Large Power Grid Considering Section Coupling Control[J]. Water Resources and Power, 2023 , 41 (11) : 217 -221 . DOI: 10.20040/j.cnki.1000-7709.2023.20230750
Year 2023 volume 41 Issue 11
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230750
  • Receive Date:2023-06-10
  • Online Date:2026-01-27
  • Published:2023-11-25
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  • Received:2023-06-10
  • Revised:2023-07-20
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Affiliations
    1.Central China Branch of State Grid Corporation of China, Wuhan 430077, China
    2a.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    2b.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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表12种不同金属材料的力学参数

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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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