Abstract
In this paper, the hybridization of standard particle swarm optimisation (PSO) with the analytical method (2/3 rd rule) is proposed, which is called as analytical hybrid PSO (AHPSO) algorithm used for the optimal siting and sizing of distribution generation. The proposed AHPSO algorithm is implemented to cater for uniformly distributed, increasingly distributed, centrally distributed, and randomly distributed loads in conventional power systems. To demonstrate the effectiveness of the proposed algorithm, the convergence speed and optimization performances of standard PSO and the proposed AHPSO algorithms are compared for two cases. In the first case, the performances of both the algorithms are compared for four different load distributions via an IEEE 10-bus system. In the second case, the performances of both the algorithms are compared for IEEE 10-bus, IEEE 33-bus, IEEE 69-bus systems, and a real distribution system of Korea. Simulation results show that the proposed AHPSO algorithm converges significantly faster than the standard PSO. The results of the proposed algorithm are compared with those of an analytical algorithm, and the results of them are similar.
Highlights
THE conventional power grids are radial in nature, and the generation units are typically far away from the loads
This study showed that optimal siting and sizing of distributed generators (DGs) units could reduce the total power loss and improve the volt‐ age profile in the distribution network
We have compared the performance of the proposed analytical hybrid PSO (AHPSO) algo‐ rithm with those of an analytical algorithm proposed in [36] for the IEEE 10-bus, IEEE 33-bus, IEEE 69-bus systems, and a real distribution system in Korea
Summary
THE conventional power grids are radial in nature, and the generation units are typically far away from the loads. In this way, it is inevitable that power will be lost dur‐ ing the transmission and distribution of power to the end consumers. It is inevitable that power will be lost dur‐ ing the transmission and distribution of power to the end consumers To mitigate these losses, a variety of solutions have been proposed. One possibility is to use superconduc‐ tor materials for transmission and distribution lines. Manuscript received: March 6, 2019; accepted: December 1, 2019. Date of online publication: September 24, 2020
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