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Loadability maximisation in bilateral network for real-time forecasting system using cuckoo search algorithm

Venkatasivanagaraju S., Rao M. Venkateswara

Computer Assisted Methods in Engineering and Science

2023

Vol. 30, no. 1

73--88

This manuscript proposes an optimal power flow (OPF) solution in a coordinated bilateralpower network. The primary goal of this project is to maximise the benefits of the powermarket using Newton–Raphson (NR) and cuckoo search algorithm CSA methodologies.The global solution is found using a CSA-based optimisation approach. The study isconducted on real-time bus system. To avoid this, creative techniques have lately beenused to handle the OPF problem, such as loadability maximisation for real-time predictionsystems employing the CSA. In this work, cuckoo search (CS) is used to optimise theobtained parameters that help to minimise parameters in the predecessor and consequentunits of each sub-model. The proposed approach is used to estimate the power load in thelocal area. The constructed models show excellent predicting performance based on derivedperformance. The results confirm the method’s validity. The outcomes are compared withthose obtained by using the NR method. CSA outperformed the other methods in thisinvestigation and gave more accurate predictions. The OPF problem is solved via CSAin this study. Implementing a real-time data case bus system is recommended to test theperformance of the established method in the MATLAB programme.

A new perspective in power loss reduction of ninety two buses integrated D-STATCOM

Muslimin Zaenab

Przegląd Elektrotechniczny

2020

R. 96, nr 12

53--57

The electrical energy demand continues to increase along with the rapid development of technology and population growth. Fulfilling the electricity supply is a challenge for the operation of the electric power system since the construction of distribution and transmission infrastructures require large costs and such long time process. The complexity of the power distribution system itself may affect the voltage deviation and power loss parameters. The more complex of the distribution system was configured the more critical impacts on those disturbance parameters encountered entire the power network. The main contribution in this research is exploring on 99 bus context with D-STATCOM injection to increase the voltage profile, reducing the total active power loss and optimal size of D-STATCOM using the Optimal Power Flow (OPF) method for load flow analysis and Particle Swarm Optimization (PSO) in optimizing total loss active power and size of D-STATCOM on a radial distribution network system. This study aims to improve the distribution network performance in terms of the voltage profile, the total active power loss through optimal D-STATCOM placement. Optimization uses the Optimal Power Flow (OPF) method based on Particle Swarm Optimization (PSO). The proposed algorithm is calculated numerically for the North Makassar distribution system with ninety two buses included a network pattern open-loop radial configuration and the total load reaches 4.914 MW. The optimized computation algorithm result a minimum voltage profile of up to 0.73%, an average voltage profile up 0.8% or 4kV and a minimum total active power loss around 10.53%.

Celem artykułu jest poprawa parametrów sieci przez optymalizację położenia układu D-STATCOM oraz zastosowanie metody OPF (optymalny przepływ mocy) z wykorzystaniem algorytmów rojowych PS. Zaproponowany algorytm jest obliczony numerycznie dla regionu North Makasar w Algerii. Uzyskano poprawę jakości napięcia I minimum mocy biernej.