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Confidence Evaluation Method for Electricity Supply Preservation Based on Combined Weights-TOPSIS Approach

  • Si Zhang,
  • Qianyun Du,
  • Kaile Zeng,
  • Jingyun Ye,
  • Jieyang Ye,
  • Yunchu Wang

摘要

The construction of a power supply confidence evaluation system can provide a powerful reference for guaranteeing power supply. Given this background, a new confidence evaluation method for confidence in electricity supply preservation based on combined weights and Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) way is employed. First, a power supply confidence evaluation system from four dimensions of power supply and demand relationship, power market stability, energy security, and environmental factors is built. Second, the entropy weight method, Criteria Importance Though Intercriteria Correlation (CRITIC) method, and standard deviation method are combined to verify the combination weight of each index, and the TOPSIS comprehensive evaluation method is presented to assess the confidence of power supply. Finally, a case study on the different operating days for the confidence assessment of power supply in a provincial power system is performed to demonstrate the effectiveness of the adopted method. The analysis results show that the approach put forward in this study can better ensure the confidence of the power supply, and can provide a reference for the power system scheduling, to guarantee the continuous power supply to all power users.