关键词: 风力发电, 多目标优化, 经济调度, 改进非洲秃鹫优化算法, 环境问题

Abstract: Due to the increasingly prominent non-renewability and polluting nature of traditional fossil fuels, research and application of new types of clean energy are becoming more in-depth and widespread, with wind power generation significantly increasing its share in the power system. However, the intermittency and randomness of wind energy increase the difficulty of solving the economic dispatch problem in power systems with wind farms at the same time. To solve this complex issue, this paper proposes an economic dispatch model for power systems with wind farms that comprehensively considers both economic and environmental costs. The model aims to improve the economic and environmental aspects of power grid scheduling, incorporating system load power balance and unit output constraints as model constraints. Moreover, this paper introduces a multi-objective improved African vulture optimization algorithm enhanced by Tent chaos mapping and adaptive weights to handle complex scheduling issues. Finally, this paper conducts simulation tests on the adjusted IEEE 30-bus system for various objective functions and operating states. Taking the scenario of low wind power penetration and high load as an example, the compromise solution scores of the MOIAVOA proposed in this paper have improved by 59.1056%, 88.4518%, 37.3492%, 10.1477% and 12.7003% compared to the benchmark algorithms MOPSO, NSGA, MOGWO, MOAOS and MOAVOA, respectively. The simulation results strongly demonstrate the feasibility and applicability of the proposed model and algorithm in this paper in actual power system.

Key words: wind power generation, multi-objective optimization, economic dispatch, improved African vulture optimization algorithm, environmental issues