Optimal Placement and Scheduling of Switched Capacitor Banks Using Multi-Objective Hybrid Optimization Algorithm under Load Uncertainty Conditions
محورهای موضوعی : مهندسی هوشمند برق
Ehsan Akbari
1
(Department of Electrical Engineering, Mazandaran University of Science and Technology, Babol, Iran.)
کلید واژه: Optimal placement and scheduling of switched capacitors, Harris Hawks Optimization Algorithm, Non-Dominant Sorting Genetic Algorithm Type 2, Load uncertainty,
چکیده مقاله :
A straightforward and affordable way to improve the power factor and account for reactive power (RP) in the distribution network (DN) is to employ switched capacitor banks (SCBs). The optimal placement of these capacitors helps to reduce costs and power losses in the network. This essay offers a hybrid algorithm by combining the Harris Hawks Optimization algorithm (HHO) and the Non-dominated Sorting Genetic Algorithm Type 2 (NSGA-II) to arrange the switched capacitors (SCs) in the DN in the best possible location and scheduling. Power plant active and reactive power (ARP) generation, capacitor bank (CB) capital expenditure (CapEx)and maintenance costs, ARP losses in DN, and switching costs of SC are all factored into the proposed objective function. Furthermore, the load uncertainty in this study is modeled using the normal distribution function. Finally, the proposed optimization problem is implemented on IEEE standard 33-bus networks, and the performance of the suggested hybrid approach is compared with other commonly used multi-objective optimization algorithms. The simulation results show the higher performance of the proposed algorithm in terms of convergence speed and the objective function value.
