Benbouhenni Habib, Hamza Gasmi, Oproescu Mihai, Bizon Nicu, Thounthong Phatiphat, Colak Ilhami
Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Nisantasi University, 34481742, Istanbul, Turkey.
LaboratoireControleAvancé (LABCAV), Department of Electronics and Telecommunications, Université 8 Mai 1945 Guelma, BP 401, 24000, Guelma, Algeria.
Sci Rep. 2024 Jan 5;14(1):609. doi: 10.1038/s41598-024-51156-x.
It is noted that the traditional direct filed-oriented control (DFOC) is widely used in the field of electric power generation from wind due to its fast response dynamic, ease of implementation and simplicity, but this strategy is characterized by the presence of large ripples at the level of both active and reactive powers. This work presents a new algorithm for DFOC strategy of an asynchronous generator (AG) in a wind power (WP) system, which is based on the use of a new nonlinear controller called fractional-order synergetic control-fractional-order proportional-integral (FOSC-FOPI) controller, where the proposed technique parameters are calculated using the particle swarm optimization (PSO) strategy. It has been observed that the DFOC-FOSC-FOPI-PSO strategy is robust and works well in case of changing generator parameters. Three tests were performed to study the behavior of the designed technique under different working conditions, where the behavior of the DFOC-FOSC-FOPI-PSO strategy was compared with the behavior of the traditional DFOC technique in terms of power ripple ratio, overshoot, steady-state error, response time, tracking reference, and current quality. The simulation of the designed technique based on the FOSC-FOPI-PSO strategy of the AG-WP system is carried out using Matlab software, where the simulation results showed that the suggested technique is better than the classical technique (with PI controller) in terms of improving response time of active power (33.33%) and reactive power (10%) in second test, reduction of the steady-state error of reactive power (96.95%) and active power (97.14) in first test, minimization of harmonic distortion of current (96.57%) in third test and significant minimization of ripples of active power (99.67%, 44.69%, and 98.95%) and reactive power (99.25%, 53.65%, and 70.50%) in the three tests. The effectiveness of the DFOC-FOSC-FOPI-PSO strategy is very high, so it can be a reliable solution for controlling various generators.
值得注意的是,传统的直接磁场定向控制(DFOC)因其快速响应动态特性、易于实现和简单性而在风力发电领域得到广泛应用,但该策略的特点是有功功率和无功功率水平上存在较大波动。本文提出了一种用于风力发电(WP)系统中异步发电机(AG)的DFOC策略的新算法,该算法基于一种名为分数阶协同控制-分数阶比例积分(FOSC-FOPI)控制器的新型非线性控制器,其中所提出技术的参数使用粒子群优化(PSO)策略进行计算。据观察,DFOC-FOSC-FOPI-PSO策略具有鲁棒性,在发电机参数变化的情况下也能良好运行。进行了三项测试以研究所设计技术在不同工作条件下的行为,其中将DFOC-FOSC-FOPI-PSO策略的行为与传统DFOC技术在功率纹波比、超调量、稳态误差、响应时间、跟踪参考和电流质量方面的行为进行了比较。基于AG-WP系统的FOSC-FOPI-PSO策略对所设计技术进行了Matlab软件仿真,仿真结果表明,在第二项测试中,所建议的技术在提高有功功率响应时间(33.33%)和无功功率响应时间(10%)方面优于经典技术(采用PI控制器);在第一项测试中,无功功率稳态误差降低了(96.95%),有功功率稳态误差降低了(97.14%);在第三项测试中,电流谐波失真最小化(96.57%);在三项测试中,有功功率纹波显著最小化(99.67%、44.69%和98.95%),无功功率纹波显著最小化(99.25%、53.65%和70.50%)。DFOC-FOSC-FOPI-PSO策略的有效性非常高,因此它可以成为控制各种发电机的可靠解决方案。