Abstract
Optimal reactive power dispatch is one of the key factors to attain cost-effective and stable functioning of power system. It is a complicated non-linear optimization issue with a combination of discrete and continuous control variables. Due to this complex feature of optimal reactive power dispatch, optimization technique has become an efficient method to solve this problem. In this work, Kinetic Gas Molecule Optimization algorithm with Pareto optimality is proposed for solving multi-objective optimal reactive power dispatch problem. The presentation of Kinetic Gas Molecule Optimization is improved by computing inertia weight and acceleration coefficients dynamically rather than a fixed value. Because of this reason, the searching capability of the particles in each iteration is improved. However, to improve the power system performance in optimal reactive power dispatch scenario, additional flexible AC transmission system devices like static VAR compensator, thyristor-controlled series compensator, and unified power flow controller are introduced to provide stable results when compared to conventional output because flexible AC transmission system devices are capable of controlling the flow of real power and reactive power. These details are implemented and tested on IEEE 30-bus test system with various objectives. The performance of proposed method is validated from MATLAB, which shows the value of power loss as 4.3583 and voltage deviation as 0.26499 with cost of US$469.6417 per MVAR, which shows considerably superior results when compared with implemented particle swarm optimization results. The proposed method provides an efficient result for solving multi-objective optimal reactive power dispatch issues.
Highlights
Recent days, the control and operation of power system has turn out to be a big problem for the operators due to the competitive nature
hybrid biogeography-based optimization (HBBO) has provided better results for balancing global search capability compared with Artificial Bee Colony (ABC) and BiogeographyBased Optimization (BBO) algorithms,[9] and one of the flexible AC transmission system (FACTS) devices such as unified power flow controller (UPFC) has been presented in Shrawane et al.[10] for optimal reactive power dispatch (ORPD) problem with the help of hybrid GA-particle swarm optimization (PSO)
To optimize the system performance, UPFC is optimally chosen with the help of Kinetic Gas Molecule Optimization (KGMO) algorithm with PO concept to enhance the stability and it provides the solution process with fast convergence
Summary
The control and operation of power system has turn out to be a big problem for the operators due to the competitive nature. HBBO has provided better results for balancing global search capability compared with Artificial Bee Colony (ABC) and BiogeographyBased Optimization (BBO) algorithms,[9] and one of the FACTS devices such as unified power flow controller (UPFC) has been presented in Shrawane et al.[10] for ORPD problem with the help of hybrid GA-PSO. This technique was used for finding optimal location and cost of UPFC with reduced voltage deviation and losses at load bus. FACTS devices (static VAR compensator (SVC), TCSC, and UPFC) are assigned at best possible nodes to deliver an ideal reactive power dispatch (RPD) that reduces the losses, deviation of voltage, cost, and line loading (LL) index with constraints of generator voltage, tap setting of transformer, and reactive power of shunt compensators
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
