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Optimization of fractional order PI controller using metaheuristics algorithms applied to multilevel inverter for grid connected PV

Boucheriette Wafa, Mechgoug Raihane, Benguesmia Hani

Diagnostyka

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2023

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Vol. 24, No. 3

art. no. 2023311

EN

Due to its multiple advantages in industrial and grid-connected applications, Multi-Level Inverters (MLIs) have increased in popularity in recent years. To improve the efficiency of a grid-connected PV system's integrated multi-level inverter fractional order PI (FOPI) controllers are used to describe the control process. The control system is made up of three control loops based on FOPI controllers: one for controlling the intermediate circuit voltage (Vdc) and the other two for controlling the direct and quadratic currents (Id, Iq) supplied by the multilevel inverter. The proposed controller parameters (Kp, KI, λ) must be selected in order to increase the efficiency of the multi-level inverter while decreasing the total harmonic distortion (THD) of the output current of the inverter as well as voltage. For this we used three meta-heuristic algorithms (PSO, ABC, GWO). The performance of the three controllers PSO-FOPI, ABC-FOPI and GWO-FOPI controller is compared. The findings showed that GWO-FOPI performs better than the other PSO-FOPI and ABC-FOPI in accuracy and total harmonic distortion THD term. The simulation will be conducted using Matlab/Simulink.

2

Hybrid of lambda iteration and meta-heuristic methods for solving economic dispatch problem

Aurasopon Apinan, Takeang Chiraphon

Przegląd Elektrotechniczny

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2020

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R. 96, nr 6

26--32

EN

New optimization algorithms for solving the economic dispatch problem are presented. The constraints of economic dispatch consist of power balance, generator rating, load demand, and transmission loss. In the proposed algorithms, a lambda iteration method is used to find the initial values for the meta-heuristic methods: BCO, PSO, and GA. This process results in the solution boundary being reduced. To verify the effectiveness of the proposed algorithm, two case studies with three and six generators were tested. The simulation results showed that the proposed algorithms can provide better solutions than the others in terms of convergence rate and generation outputs.

PL

Przedstawiono nową technikę optymalizacji umożliwiająca zwiększenie skuteczności ekonomicznego rozsyłu energii. Uwzględnia on równowagę mocy, ocenę generatora, wymagane obciążenia oraz straty przesyłania. Proponowana metoda jest hybrydową iteracją lambda oraz metodą meta-heurystyczną wykorzystującą algorytmy genetyczne. Przetestowano dwa przypadki układu z trzema i sześcioma generatorami.

3

Five years of multi-depot vehicle routing problems

Jayarathna Nuwan, Lanel Jayantha, Juman Z. A. M. S.

Journal of Sustainable Development of Transport and Logistics

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2020

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Vol. 5, No. 2

109--123

EN

With vast range of applications in real life situations, the Vehicle Routing Problems (VRPs) have been the subject of countless studies since the late 1950s. However, a more realistic version of the classical VRP, where the distribution of goods is done from several depots is the Multi-Depot Vehicle Routing Problem (MDVRP), which has been the central attraction of recent researches. The objective of this problem is to find the routes for vehicles to serve all the customers at a minimal cost in terms of the number of routes and the total distance travelled without violating the capacity and travel time constraints of the vehicles, and it is handled with a variety of assumptions and constraints in the existing literature. This survey reviews the current status of the MDVRP and discuss the future direction regarding this problem.

4

Metody sztucznej inteligencji w syntezie systemów typu kompleks zasobów i operacji

Drabowski M., Wantuch E.

Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

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2011

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T. 15, z. 2

127-138

PL

Celem wysoko-poziomowej syntezy złożonych systemów przetwarzania, a także wytwarzania (systemów typu kompleks zasobów i operacji) jest znalezienie rozwiązania optymalnego, które dla przyjętych kryteriów optymalnosei będzie spełniało wymagania i ograniczenia narzucone przez zadaną specyfikację projektowanego systemu. Ponieważ problemy syntezy i ich optymalizacje są obliczeniowo NP-zupełne, zastosowano do ich rozwiązania wybrane metody sztucznej inteligencji i niektóre wyniki obliczeń tych metod są prezentowane w niniejszej pracy.

EN

The goal of this synthesis is to find an optimum solution satisfying the requirements and constraints enforced by the given specification of the system. The partition of the functions between hardware and software is the basic problem of synthesis. Such partition is significant, because every computer system must be realized as result of hardware implementation for its certain tasks. Due to the fact that synthesis problems and their optimizations are NP-complete we suggest meta-heuristic approaches.