Solving Reactive Power Dispatch Problem by Using JAYA Optimization Algorithm

2018 ◽  
Vol 36 ◽  
pp. 12-24 ◽  
Author(s):  
Asmaa F. Barakat ◽  
Ragab A. El-Sehiemy ◽  
Mohamed Elsaid ◽  
E. Osman
Keyword(s):  
Power Systems ◽  
Optimization Algorithm ◽  
Large Scale ◽  
Reactive Power ◽  
Optimization Algorithms ◽  
Jaya Algorithm ◽  
Power Losses ◽  
Power Dispatch ◽  
Global Optima ◽  
Reactive Power Dispatch

This paper proposes a new optimization algorithm called JAYA algorithm for solving the optimal reactive power dispatch (ORPD) problem. Minimizing the real power losses is one of main objective functions of (ORPD) problem. The ORPD problem is subjected to non-linear equality and inequality operational constraints. The proposed JAYA is a recently developed optimization algorithm. The main merit of Jaya algorithm is that the algorithm performance is liberated of specific control parameters adjustment. Therefore, it overcomes the limitations of previous optimization algorithms in terms of achieving the global optima atless computational efforts. The effectiveness of the proposed Jaya algorithm is proven on three standard systems namely IEEE 14-bus, 30-bus and 118-bus test systems. Added to that, Jaya is successively tested on the West Delta Real Network (WDRN) as a real part of the Egyptian grid. The obtained simulation results prove that the proposed JAYA algorithm has significant reduction in power losses for the tested system compared with other optimization algorithms. The obtained results confirm that the proposed JAYA optimization algorithm can make a noticeable enhancement on solving the ORPD problem for small and large-scale power systems.

scholarly journals Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2968 ◽  
Author(s):  
Zelan Li ◽  
Yijia Cao ◽  
Le Van Dai ◽  
Xiaoliang Yang ◽  
Thang Trung Nguyen
Keyword(s):  
Power Systems ◽  
Optimization Algorithm ◽  
Reactive Power ◽  
Optimization Problems ◽  
Optimal Solution ◽  
System Optimization ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Antlion Optimization

In this paper, a novel improved Antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive power dispatch (ORPD) problem. Such three power systems with a set of constraints in transmission power networks such as voltage limitation of all buses, limitations of tap of all transformers, maximum power transmission limitation of all conductors and limitations of all capacitor banks have given a big challenge for global optimal solution search ability of the proposed method. The proposed IALO method has been developed by modifying new solution generation technique of standard antlion optimization algorithm (ALO). By optimizing three single objective functions of systems with 30, 57 and 118 buses, the proposed method has been demonstrated to be more effective than ALO in terms of the most optimal solution search ability, solution search speed and search stabilization. In addition, the proposed method has also been compared to other existing methods and it has obtained better results than approximately all compared ones. Consequently, the proposed IALO method is deserving of a potential optimization tool for solving ORPD problem and other optimization problems in power system optimization fields.

scholarly journals Application of improved PSO algorithm to optimal reactive power dispatch and implementation to the 110 kV Southern Vietnam power system

2019 ◽  
Vol 20 (K8) ◽  
pp. 5-13
Author(s):  
Dung Anh Le ◽  
Vo Ngoc Dieu ◽  
Ngo Quoc Hung
Keyword(s):  
Power Systems ◽  
Power System ◽  
Large Scale ◽  
Reactive Power ◽  
Pso Algorithm ◽  
Southern Vietnam ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Ipso Algorithm

This paper presents an application of improved particle sawrm optimization (IPSO) algorithm for solving the optimal reactive power dispatch (ORPD) problem in power systems and a case study for a practical 110kV power system of Shoutern Vietnam. The IPSO is an improvement of PSO with an integration of pseudo- gradient to enhance the search ability of PSO for application to large-scale systems. The proposed IPSO has been tested on the IEEE 30 bus system and the obtained results have indicated that the proposed method is enffective for the ORPD problem via result comparations with other methods. From the obtained results, the IPSO method has been also implemented to the ORPD problem for the 110 kV Southern Vietnam power system and the the obtained result is verified by the PSS/E program. The obtained results have indicated that the IPSO method is very effective for solving the large-scale practical systems.  

Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem

2019 ◽  
Vol 38 (1) ◽  
pp. 304-324 ◽  
Author(s):  
Souhil Mouassa ◽  
Tarek Bouktir
Keyword(s):  
Power Systems ◽  
Large Scale ◽  
Reactive Power ◽  
Stability Index ◽  
Active Power ◽  
Power Losses ◽  
Content Type ◽  
Multi Objective ◽  
Ant Lion Optimization ◽  
Active Power Losses

Purpose In the vast majority of published papers, the optimal reactive power dispatch (ORPD) problem is dealt as a single-objective optimization; however, optimization with a single objective is insufficient to achieve better operation performance of power systems. Multi-objective ORPD (MOORPD) aims to minimize simultaneously either the active power losses and voltage stability index, or the active power losses and the voltage deviation. The purpose of this paper is to propose multi-objective ant lion optimization (MOALO) algorithm to solve multi-objective ORPD problem considering large-scale power system in an effort to achieve a good performance with stable and secure operation of electric power systems. Design/methodology/approach A MOALO algorithm is presented and applied to solve the MOORPD problem. Fuzzy set theory was implemented to identify the best compromise solution from the set of the non-dominated solutions. A comparison with enhanced version of multi-objective particle swarm optimization (MOEPSO) algorithm and original (MOPSO) algorithm confirms the solutions. An in-depth analysis on the findings was conducted and the feasibility of solutions were fully verified and discussed. Findings Three test systems – the IEEE 30-bus, IEEE 57-bus and large-scale IEEE 300-bus – were used to examine the efficiency of the proposed algorithm. The findings obtained amply confirmed the superiority of the proposed approach over the multi-objective enhanced PSO and basic version of MOPSO. In addition to that, the algorithm is benefitted from good distributions of the non-dominated solutions and also guarantees the feasibility of solutions. Originality/value The proposed algorithm is applied to solve three versions of ORPD problem, active power losses, voltage deviation and voltage stability index, considering large -scale power system IEEE 300 bus.

scholarly journals Pareto-based allocations of multi-type flexible AC transmission system devices for optimal reactive power dispatch using Kinetic Gas Molecule Optimization algorithm

2020 ◽  
Vol 53 (1-2) ◽  
pp. 239-249 ◽  
Author(s):  
Pradeep Panthagani ◽  
R Srinivasa Rao
Keyword(s):  
Optimization Algorithm ◽  
Reactive Power ◽  
Transmission System ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Gas Molecule ◽  
Reactive Power Dispatch ◽  
Ac Transmission

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.

scholarly journals Power Tracing Monitoring incorporating Optimal Reactive Power Dispatch

2018 ◽  
Vol 7 (3.15) ◽  
pp. 1
Author(s):  
Nabil Fikri Ruslan ◽  
Ismail Musirin ◽  
Mohamad Khairuzzaman Mohamad Zamani ◽  
Muhammad Murtadha Othman ◽  
Zulkiffli Abdul Hamid ◽  
...  
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Transmission Loss ◽  
Power Losses ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Power Tracing ◽  
The Impact

General power flow studies do not manage to trace the contributors by generators on power losses in the whole power transmission system. Thus, power tracing approach is utilized to address this issue. Power tracing is a termed used to describe the contributors for the power losses dissipated on the transmission line. The traditional technique made use the knowledge of circuit analysis such as cut set theory. However, there was no element of optimization which can help to achieve the optimal solution. This paper presents the power tracing monitoring during voltage stability improvement process, implemented by optimal reactive power dispatch. In this study, the impact of power tracing on voltage stability variation was investigated. Evolutionary Programming (EP) was developed and utilized to incorporate power tracing, along with voltage stability improvement. A pre-developed scalar voltage stability index was incorporated to indicate the voltage stability condition. On the other hand, the voltage stability initiative was conducted via the optimal reactive power dispatch. The power tracing was monitored for both; the pre-optimization and post-optimization scenarios. Small system model was tested to realize the power tracing phenomenon, which is rather rare study in power system community. Results on power tracing obtained during the pre- and post-optimal reactive power dispatch revealed that not all generators will involve in the contribution on the total transmission loss in the system. This can be beneficial to power system operators for allocating the cost without discrimination in the long run.   

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