Integrated Intelligent Energy ›› 2023, Vol. 45 ›› Issue (10): 35-43.doi: 10.3969/j.issn.2097-0706.2023.10.005

• Optimal Operation and Control • Previous Articles     Next Articles

Optimal scheduling of integrated energy systems in agricultural parks based on improved probability planning algorithm

LIU Yanrua(), ZHANG Ruipingb, DONG Haiyinga,*()   

  1. a. School of New Energy and Power Engineering;b. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2023-06-08 Revised:2023-06-27 Online:2023-10-25 Published:2023-10-27
  • Supported by:
    Science and Technology Project of State Grid Gansu Electric Power Company(W22KJ2714016)

Abstract:

To address the problems of high energy consumption and low renewable energy accommodation capacity in an integrated energy system of an agricultural park, an optimal scheduling method based on improved dynamic probabilistic planning is proposed for the system. The overall structure of an integrated energy system is established considering the diversity of energy sources in the agricultural park. Then, based on the loads' adjustability of the agricultural park, the optimal scheduling model for the integrated energy system is established with the minimum total operating cost as the objective function. Finally, by replacing Gaussian probability distributions with triangular probability distributions, the uncertainty optimization problems of probabilistic planning algorithm are transformed into deterministic optimization problems. Testing the improved probabilistic planning algorithm on an agricultural park in the Northwest of China, the test results show that the proposed algorithm can reduce the comprehensive operation cost of the integrated energy system in the agricultural park. In summer, the daily operating cost of the system can be reduced by 45.52%, and the new energy consumption rate can be increased by 35.57 percentage points.In winter, the daily operating cost of the system is reduced by 37.42%, and the new energy consumption rate is increased by 26.25 percentage points.

Key words: integrated energy system, agricultural park, renewable energy, probability planning algorithm, Gaussian probability distributions, adjustable load, new energy consumption rate

CLC Number: