Optimization of Unbalanced Active Distribution Systems Using Cuckoo Search Algorithm

Wang, Tianjian; Wang, Ying; Hou, Yan; Gu, Fei; Hou, Shaoshuai; Wei, Jin

doi:10.1109/sege52446.2021.9534957

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…i, j, and α are individual, order harmonics, bus number and constanta respectively. The individual and total harmonics limit violations can be formulated as ( 9) and (10).…”

Section: Harmonicmentioning

confidence: 99%

“…𝑁 𝑇 = ∏ 𝑁 THD 𝑛 𝑖=1 (10) The objective function pertaining to harmonics can be computed utilizing as (11).…”

Section: Harmonicmentioning

confidence: 99%

“…A significant voltage unbalance in the distribution system causes various issues, such as overheating, harmonics and interference on the three-phase equipment [7]. The problem of load imbalance has been discussed by several researchers with different approaches, positive voltage ratio [8], reinforce learning [9], Cuckoo search [10], improved particle swarm optimization [11], crisscross optimization algorithm [12], optimal power flow [13], open distribution system simulator [14], and symbiotic organisms search (SOS) [15]. These studies do not discuss nonlinear loads.…”

Section: Introductionmentioning

confidence: 99%

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Single-phase distributed generations for power balanced using adaptive real coded genetic algorithm

Umar,

Faanzir,

Iswan

et al. 2024

IJAPE

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Easy access to distributed generation (DG) technology is promoting the utilization of single-phase DGs for residential purposes. Surplus energy generated by household DGs can be shared or sold to other communities through existing networks. However, the interconnection of single-phase DGs from residential generators to the distribution network requires careful handling to secure the reliability and quality of the electric power system. This paper focuses on the optimal placement of single-phase multi-type DGs on unbalanced distribution systems that are connected to nonlinear loads. The objective of this study is to minimize the power losses and voltage unbalances in the distribution networks. To verify the efficacy of this method in reducing voltage unbalances and harmonics, an optimization approach is also presented using three-phase DG. Optimal placement of DG is performed on a modified Kaliasin distribution system using an adaptive real coded genetic algorithm (ARC-GA). Simulation results demonstrate that the installation of single-phase DGs is highly effective in reducing power losses and voltage unbalances in the distribution networks.

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“…i, j, and α are individual, order harmonics, bus number and constanta respectively. The individual and total harmonics limit violations can be formulated as ( 9) and (10).…”

Section: Harmonicmentioning

confidence: 99%

“…𝑁 𝑇 = ∏ 𝑁 THD 𝑛 𝑖=1 (10) The objective function pertaining to harmonics can be computed utilizing as (11).…”

Section: Harmonicmentioning

confidence: 99%