Universidade Federal de Uberlândia, Faculdade de Engenharia Elétrica, Av João Naves de Ávila, 2121, 98408-014 Uberlândia, MG, Brazil.
Instituto Federal de Goiás, Rua Maria Vieira Cunha, 775, 75804-714 Jataí, GO, Brazil.
An Acad Bras Cienc. 2022 Aug 8;94(2):e20211001. doi: 10.1590/0001-3765202220211001. eCollection 2022.
The present paper has as its objective to optimize the reactive power in electric systems that have a photovoltaic power plant connected to it, thus aiming at improving the voltage profile of all system buses, so that they meet the values determined in the standard. For this, it is proposed to accurately determine the ideal amount of reactive power, using the genetic algorithm, in which there is no use of approximate equations, reduction of the active power of the photovoltaic source and, moreover, it allows the regulation of the voltage of all the buses in the system, being able to raise or reduce their voltage level. The proposed methodology is validated through the analysis of the 14-bus electric system from IEEE, into which a photovoltaic power plant was connected. Studies were carried out with six different load scenarios in the literature to observe the performance of the proposed algorithm. Through the analysis of the results, one concludes that the developed genetic algorithm is efficient for determining the reactive power values that result in the reduction or increase of the voltage levels of all buses in the system, allowing them to meet the values determined in the regulatory standards.
本文的目的是优化连接有光伏电站的电力系统中的无功功率，从而改善系统所有母线的电压分布，使其符合标准中规定的数值。为此，提出了使用遗传算法准确确定理想的无功功率量，该算法不使用近似方程，不会降低光伏电源的有功功率，而且还可以调节系统中所有母线的电压，从而提高或降低它们的电压水平。通过分析 IEEE 的 14 母线电力系统，验证了所提出的方法，该系统中连接了一个光伏电站。在文献中进行了六个不同负载情况的研究，以观察所提出算法的性能。通过对结果的分析，可以得出结论，所开发的遗传算法可以有效地确定无功功率值，从而降低或增加系统中所有母线的电压水平，使其符合监管标准中规定的数值。
