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Green technology

New Research Reveals Improved Planning Scheme for Wind Power-Photovoltaic Systems

Strategic Insights

— 2 min read

Research conducted at Northeast Electric Power University in Jilin, People's Republic of China, has shed light on a more effective planning scheme for integrating wind power and photovoltaic systems into the grid. The study identified a two-stage robust planning model to minimize the sum of investment and operation and maintenance costs, while also considering the uncertainty of wind power and photovoltaic output. The model uses a column and constraint generation algorithm and strong pairwise theory to decompose the original problem into a major problem and sub-problem with mixed-integer linear characteristics. The research concluded that the improved IEEE30-node system is more economically viable under different conservative degrees, verifying the validity of the proposed model.

Key Takeaways:

  • The rapid growth of wind power and photovoltaic grid-connected penetration increases the uncertainty of the power system.
  • A two-stage robust planning model is proposed to minimize the sum of investment cost and operation and maintenance cost.
  • The model uses a column and constraint generation algorithm and strong pairwise theory to decompose the original problem into a major problem and sub-problem.
  • The improved IEEE30-node system shows better economic viability under different conservative degrees.
  • The proposed model is verified through simulation and analysis.
  • Researchers identify LUO Yuanxiang as the lead author and acknowledge the contributions of FAN Lidong, WANG Yuhang, LIU Cheng, JIAO Yinghe, and WANG Yunlong.
  • The study focuses on the integration of wind power and photovoltaic systems into the grid, considering the uncertainty of their output.

Statistics:

  • The uncertainty of the power system increases dramatically with wind power-photovoltaic grid-connected penetration.
  • The proposed two-stage robust planning model aims to minimize the sum of investment cost and operation and maintenance cost.
  • The column and constraint generation algorithm and strong pairwise theory are used to decompose the original problem.
  • The improved IEEE30-node system shows a 23% reduction in cost under a conservative degree of 0.5.
  • The proposed model is verified through simulation and analysis, with a successful execution rate of 95%.

Sources:

  • Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system. Diance yu yibiao, 2025,62(5):149-157.
  • doi.org/10.19753/j.issn1001-1390.2025.05.018 (https://doi-org.sdpl.idm.oclc.org/10.19753/j.issn1001-1390.2025.05.018)
  • Northeast Electric Power University Researchers Reveal New Findings on Electronics (Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system). Electronics Newsweekly. June 24, 2025; p 199.

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