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Collaborative planning between multiple types of power supply zones based on demand-side regulation potential modeling
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Dawei ZHANG1, Kai KANG2, Jian DING3, Siqi PANG3, Lijie SUN3
Thermal Power Generation | 2024, 53(11) : 10 - 20
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Thermal Power Generation | 2024, 53(11): 10-20
Special topic on low-carbon transformation of power system
Collaborative planning between multiple types of power supply zones based on demand-side regulation potential modeling
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Dawei ZHANG1, Kai KANG2, Jian DING3, Siqi PANG3, Lijie SUN3
Affiliations
  • 1.State Grid Inner Mongolia Eastern Power Co., Ltd., Hohhot 010010, China
  • 2.Power Supply Service Supervision and Support Center of Inner Mongolia East Power Co., Ltd., Tongliao 028000, China
  • 3.Tongliao Power Supply Company of Inner Mongolia East Power Co., Ltd., Tongliao 028000, China
Published: 2024-11-25 doi: 10.19666/j.rlfd.202403061
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This paper focuses on aggregating decentralized demand-side resources through virtual power plants (VPPs) to enhance the peak load management capability in the construction of new electric power systems. The research centers on the core issue of “load-based” virtual power plants participating in power source planning. It investigates the modeling methods for the adjustable potential of virtual power plants, including electric vehicles, air conditioning loads, and industrial loads. Moreover, the paper delineates the economic and operational technical constraints of virtual power plants in power source planning and constructs a power source planning model that accounts for VPPs. Considering the prediction errors of renewable energy and the characterization errors of the VPPs’ response potential, the paper utilizes interval optimization theory to reformulate the model into an interval planning model and completes the deterministic transformation of the model through interval order relations and interval possibility. The rationality of the proposed power source planning method is verified through a case study. The results show that the proposed method can effectively aggregate VPP resources, significantly enhancing the system’s peak load management capability. The constructed interval planning model can effectively handle forecast errors, ensuring the reliability of planning. This method provides an economically feasible solution for the transformation of the source-load structure in new electric power systems. It is evident that the aggregation and optimized dispatch of VPPs can significantly enhance the flexibility and reliability of the power system.

power source planning  /  virtual power plant  /  potential modeling  /  interval optimization
Dawei ZHANG, Kai KANG, Jian DING, Siqi PANG, Lijie SUN. Collaborative planning between multiple types of power supply zones based on demand-side regulation potential modeling[J]. Thermal Power Generation, 2024 , 53 (11) : 10 -20 . DOI: 10.19666/j.rlfd.202403061
  • Technology Project of State Grid Inner Mongolia East Electric Power Co., Ltd.(526620230003)
Year 2024 volume 53 Issue 11
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Article Info
doi: 10.19666/j.rlfd.202403061
  • Receive Date:2024-03-29
  • Online Date:2026-03-05
  • Published:2024-11-25
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  • Received:2024-03-29
Funding
Technology Project of State Grid Inner Mongolia East Electric Power Co., Ltd.(526620230003)
Affiliations
    1.State Grid Inner Mongolia Eastern Power Co., Ltd., Hohhot 010010, China
    2.Power Supply Service Supervision and Support Center of Inner Mongolia East Power Co., Ltd., Tongliao 028000, China
    3.Tongliao Power Supply Company of Inner Mongolia East Power Co., Ltd., Tongliao 028000, 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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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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