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Day-ahead optimal dispatching of regional integrated electric-heating operation system considering source-load interaction
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Yang HU, Yueli ZHAO, Yuyang HU, Ze YANG
Thermal Power Generation | 2023, 52(3) : 102 - 111
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Thermal Power Generation | 2023, 52(3): 102-111
Operation control and optimal scheduling technologies of wind power system
Day-ahead optimal dispatching of regional integrated electric-heating operation system considering source-load interaction
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Yang HU, Yueli ZHAO, Yuyang HU, Ze YANG
Affiliations
  • School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Published: 2023-03-25 doi: 10.19666/j.rlfd.202211281
Outline
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China's large-scale clean energy base has formed a regional power-heat combined system with multiple randomness, such as wind power, photovoltaic power generation and power/heat load, which highly depends on flexible and adjustable resources. Its low-carbon and economic operation is also challenging. In order to fully integrate the resources from source and load sides and maximize the consumption of new energy power, a day-ahead optimal dispatching method of the regional integrated electric-heating operation system considering demand response of electric, heating loads and prediction error scenario is proposed. Firstly, sliding time window multivariate Gaussian mixture distribution and Monte Carlo are used to generate and correct the random source-charge day-ahead prediction error to further optimize the forward scheduling results. Secondly, the demand response models of electric and heating loads are analogically defined. A regional electric-thermal system model considering the source-charge interaction is established. Then, considering multiple costs, a low-carbon and economic pre-ahead scheduling expectation model of the joint system is established in all typical scenarios. Finally, by taking the winter energy supply in a region in northern China as an example, the multi-scenario optimization operation results of electricity with and without electricity and heat load demand response are gradually compared. The results show that, fully introducing the electric and heating load demand responses and molten-salt thermal energy storage boiler can promote the consumption of large-scale wind and photovoltaic power, and significantly enhance the low-carbon and economic operation capability of the regional integrated electric-heating system.

regional integrated electric-thermal system  /  day-ahead dispatching  /  demand response  /  scenarios generation  /  multi-objective optimization
Yang HU, Yueli ZHAO, Yuyang HU, Ze YANG. Day-ahead optimal dispatching of regional integrated electric-heating operation system considering source-load interaction[J]. Thermal Power Generation, 2023 , 52 (3) : 102 -111 . DOI: 10.19666/j.rlfd.202211281
  • National Key Research and Development Program(2021YFE010 2400)
  • Youth Science Foundation Project of National Natural Science Foundation of China(51906064)
Year 2023 volume 52 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202211281
  • Receive Date:2022-11-27
  • Online Date:2026-01-23
  • Published:2023-03-25
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  • Received:2022-11-27
Funding
National Key Research and Development Program(2021YFE010 2400)
Youth Science Foundation Project of National Natural Science Foundation of China(51906064)
Affiliations
    School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, 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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