Open AccessResearch on Efficient and Economical Power System Optimization Algorithm
Author(s) -
Qiu Fei
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042115
Subject(s) - ac power , particle swarm optimization , power (physics) , computer science , electric power system , compensation (psychology) , mathematical optimization , algorithm , distributed generation , mathematics , psychoanalysis , physics , quantum mechanics , psychology
The paper proposes to apply the particle swarm optimization algorithm to the dynamic optimization power flow calculation in the power system with distributed power generation, which takes all periods of time into consideration. The specific implementation method of the algorithm is given. According to the principle of nearby reactive power compensation, distributed power sources do not absorb reactive power from the system as much as possible. The reactive power required by distributed power sources is mainly provided by distributed power reactive power compensation devices. In order to verify the effectiveness of the algorithm, the economic load distribution of the power system with different unit numbers was tested, and compared with other optimization algorithms. The result proves that the algorithm can find the optimal solution efficiently and accurately, effectively avoiding the problem of falling into the local optimal, and ensuring a faster running speed.