Abstract
Network reconfiguration (NR) is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search (MSOS) algorithm to solve the NR problem. For the purpose of enhancing the effectiveness of MSOS, the mutualism and parasitism strategies of the original symbiotic organisms search (SOS) have been modified to create better new solutions. In the mutualism strategy, the so-far best solution is updated immediately as soon as new solutions are created. In the parasitism strategy, the update is only implemented for the first half of control variables, whereas another half still remains unchanged. The comparison results between MSOS and SOS on twenty-five benchmark functions and different scales of test distribution systems with 14, 33, 69, and 119 nodes show that the improvement level of MSOS over SOS is significant with higher success rates and better quality of gained solutions. Similarly, MSOS also reaches better results than other methods in the literature. Consequently, MSOS can be a favorable method for determining the most appropriate configurations for the distribution systems.
Highlights
There are four parts in the power system, namely, the power generation system, the transmission system, the distribution system, and the load components. e transmission system carries electricity from the power generation system to substations, whereas the distribution system transfers energy from the substation to the consumer
In order to show the efficiency of modifications of the modified symbiotic organisms search (MSOS), it is compared with the symbiotic organisms search (SOS) for the 25 benchmark functions, which are taken from [23, 33, 40] and presented in Table 1. e benchmark functions include 2 variables for the 1st to the 11th functions, 4 variables for the 12th function, five variables for the 13th function, 10 variables for the 14th to 15th functions, and 30 variables for the 16th to 25th functions
For the 12th function, the mean value and the standard deviation of the fitness function and the mean number of convergence iterations gained by the MSOS are better than those of the SOS
Summary
There are four parts in the power system, namely, the power generation system, the transmission system, the distribution system, and the load components. e transmission system carries electricity from the power generation system to substations, whereas the distribution system transfers energy from the substation to the consumer. Us, finding solutions for power loss reduction in the distribution system is one of the most important missions in the operation of the distribution system. E distribution system usually has a closed structure, but it is operated radially due to some technical advantages of opened operation, compared to closed operation. Erefore, in general, there exist some switches with open status in the system to maintain the radial topology of the distribution system. E process of changing the status of the switches on the distribution system will change the operating structure of the system. Us, this process is called network reconfiguration This is a complex problem with discrete and nonlinear features. The number of possible solutions for the problem is very high, which can be up to 2n structures for n switches equipped on the system. erefore, finding optimal solutions for the NR problem is a big challenge for researchers
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
