Interactive Artificial Bee Colony based on distribution planning with renewable energy units

Abedinia, Oveis; Barazandeh, E. S.

doi:10.1109/isgt.2013.6497827

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This algorithm has several advantages, including its few parameters, fast convergence rate, high precision and high robustness. The following improved ABC algorithms have good effectiveness in the field of electrical engineering: enhanced ABC used to solve the dynamic-security-constrained optimal power flow [23], interactive ABC used to support the distribution network operator in the planning phase amidst distributed generation [24], ABC used to improve the stability of the power system in a restructured environment [25] and fuzzy controller based on improved ABC used to stabilise a multimachine power system [26]. In [17][18][19][20], ABC algorithm is used to solve MMOPs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic niche artificial bee colony algorithm for output control of MCR‐WPT system

Yang

Chen

2019

IET Microwaves, Antennas & Propagation

View full text Add to dashboard Cite

The variations of parameters in magnetically coupled resonant wireless power transfer (MCR‐WPT) system leads to system detuning problem. When the operation frequency is shifted from the resonant frequency of the system, output power of load (PL) will reduce greatly. The mathematical formulation of PL is similar to a multimodal function of the operation frequency. All the maximums of PL are needed to confirm the operation frequency. This study describes a dynamic niche artificial bee colony (DNABC) algorithm for locating all the optimums of multimodal function. By judging the increment of individual fitness, DNABC algorithm divides the solution space into peaky niche and candidate niche, and updates the boundary of niches dynamically. It transforms searching multiple maximum values in the whole solution space into searching one global maximum in each niche. Taking a 3‐coil MCR‐WPT system as an example, the simulation and experiment results show that DNABC algorithm is affected little by the number of population and has high convergence speed and high optimisation accuracy.

show abstract

Section: Introductionmentioning

confidence: 99%