ميلاد رحيمي پوربهبهاني

The presence of nonlinear loads in the distribution network leads to the generation of harmonics and also increases the resistance to high impedance, resulting in high losses in the distribution network. Among the existing methods to solve these two challenges, distribution network reconfiguration is emphasized as a cost-effective method that can control power losses and improve power quality. Reconfiguration is defined as changing the configuration of the distribution network using the maneuverable switches embedded in the network. Reconfiguration is practically performed by changing the impedance between the source and the load. Therefore, in this thesis, reconfiguration is carried out to reduce losses and improve power quality in the network, including improving harmonic distortion. The use of the improved particle swarm optimization algorithm and flexible lexicography method are among the innovations implemented in the reconfiguration method in this thesis, leading to further improvement in losses and harmonics in the studied network. Considering the uncertain behavior of loads and distributed generation sources, especially in long-term studies of reconfiguration, is essential. Therefore, in this thesis, uncertainty in normal and harmonic loads as well as distributed generations is investigated. The results show that uncertainty, especially in harmonic loads, can cause the creation of resonance and subsequently undesirable harmonic distortion. Modern distribution networks with one or more normally open switches can perform dynamic or short-term reconfiguration. Therefore, in this thesis, dynamic reconfiguration is studied and eva‎luated to improve power quality and reduce power losses in the network. The results indicate that due to the continuous change in load in the distribution network, dynamic reconfiguration creates more favorable effects compared to long-term seasonal reconfiguration, resulting in greater improvement in losses and power quality in the network. Also, optimal 24-hour integrated planning in dynamic reconfiguration can lead to cost savings for operators due to the lack of need for uneconomical switching operations. Soft Open Points with the ability to be installed on normally open switches and the ability to exchange controlled active power between two feeders as well as inject or absorb the necessary reactive power at the end of the feeders are implemented by distribution network operators. The positive effect of optimal short-term and long-term planning of this equipment in improving power quality and reducing losses is one of the results of this thesis. In addition, in this thesis, optimal planning of Soft Open Points is investigated both simultaneously with reconfiguration and independently for short-term hourly and seasonal long-term intervals. The results indicate the positive impact of reconfiguration and optimal planning of Soft Open Points on reducing losses and improving power quality. Keywords: Distribution Network, Static Reconfiguration, Dynamic Reconfiguration, Power Losses, Harmonics, Improved Particle Swarm Optimization, Soft Open Point.

شبكه توزيع , بازآرايي استاتيك , بازآرايي پويا , تلفات , هارمونيك , الگوريتم ازدحام ذرات بهبوديافته , نقاط باز انعطاف پذير

distribution network , Static Reconfiguration , dynamic reconfiguration , power losses , Harmonic , Improved Particle Swarm Optimization , Soft open point

Milad Rahimi Poor Behbahani

Dr. Alireza Jalilian