Electric Power ›› 2017, Vol. 50 ›› Issue (7): 56-63.DOI: 10.11930/j.issn.1004-9649.2017.07.056.08

• New Energy • Previous Articles     Next Articles

Accommodating Capability Analysis and Comprehensive Assessment Method of Large-Scale New Energy Areas Interconnected

GAO Che1, NIU Dongxiao1, MA Ming2, WANG Ningbo2, GAI Xiaoping3   

  1. 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;
    2. Wind Power Technology Center of Gansu Electric Power Company, Lanzhou, 730050, China
  • Received:2017-03-29 Online:2017-07-05 Published:2017-07-25

Abstract: With the rapid increase of installed capacities of the renewable energy, the UHVDC power transmission grid based on long-distance regional interconnection will greatly promote the new energy accommodation in larger regions. In this paper, according to the trend of large-scale and large-scope allocation of renewable energy sources in China, an analytical model is developed of the accommodation capabilities in the sending and receiving ends of inter-regional power grids, and a comprehensive evaluation method is proposed of the flexibility of the power systems in the sending and receiving ends from the perspective to satisfy the net-load climbing demand of power systems. By taking two trans-region HVDC systems in China for case study and combined with HVDC's flexible adjustment operation modes, the scenario analysis is carried out according to different HVDC's adjustment operation modes, and it is demonstrated by real cases that the HVDC transmission channel has better economic and social benefits when following the transmission curves of renewable energy output characteristics in the sending end. It is concluded that the proposed model and method can provide an effective mode for comprehensive evaluation and production simulation of interconnected power grids integrated with large-scale renewable energies.

Key words: new energy accommodation, UHV DC transmission, trans-region power grid, time sequence production simulation, Monte Carlo simulation method

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