Optimal Reactive Power Dispatch Through Minimization of Real Power Loss and Voltage Deviation

2019 ◽  
pp. 421-430
Author(s):  
Ravi Ucheniya ◽  
Amit Saraswat ◽  
Shahbaz Ahmed Siddiqui
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Real Power ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Voltage Deviation ◽  
Reactive Power Dispatch

scholarly journals Passerine swarm optimization algorithm for solving optimal reactive power dispatch problem

2020 ◽  
Vol 9 (2) ◽  
pp. 101
Author(s):  
Lenin Kanagasabai
Keyword(s):  
Optimization Algorithm ◽  
Power Loss ◽  
Reactive Power ◽  
Passerine Bird ◽  
Swarm Optimization ◽  
Real Power ◽  
The Real ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

<span>This paper presents Passerine Swarm Optimization Algorithm (PSOA) for solving optimal reactive power dispatch problem. This algorithm is based on behaviour of social communications of Passerine bird. Basically, Passerine bird has three common behaviours: search behaviour, adherence behaviour and expedition behaviour. Through the shared communications Passerine bird will search for the food and also run away from hunters. By using the Passerine bird communications and behaviour, five basic rules have been created in the PSOA approach to solve the optimal reactive power dispatch problem. Key aspect is to reduce the real power loss and also to keep the variables within the limits. Proposed Passerine Swarm Optimization Algorithm (PSOA) has been tested in standard IEEE 30 bus test system and simulations results reveal about the better performance of the proposed algorithm in reducing the real power loss and enhancing the static voltage stability margin</span>

scholarly journals IMPROVED BABOON ALGORITHM FOR MINIMIZATION OF REAL POWER LOSS

2017 ◽  
Vol 5 (1) ◽  
pp. 33-42
Author(s):  
K. Lenin ◽  
B.Ravindhranath Reddy ◽  
M.Surya Kalavathi
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Real Power ◽  
The Real ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Simulation Results ◽  
Better Than ◽  
Bus System

This paper projects Improved Baboon Algorithm (IBA) for solving the Reactive Power dispatch problem. The key feature in this problem is reduction of real power loss and to keep voltage profiles within limits. This algorithm is inspired from the tree climbing procedures of Baboons, where the Baboons look for the highest tree by climbing up from their positions. The simulation results expose amended performance of the IBA in solving an optimal reactive power dispatch problem. In order to evaluate up the performance of the proposed algorithm, it has been tested on Standard IEEE 30 bus system and compared to other stated algorithms. Simulation results show that IBA is better than other algorithms in reducing the real power loss and voltage profiles also within the limits.

scholarly journals Optimal Reactive Power Dispatch using Crow Search Algorithm

2018 ◽  
Vol 8 (3) ◽  
pp. 1423 ◽  
Author(s):  
Lakshmi M ◽  
Ramesh Kumar A
Keyword(s):  
Reactive Power ◽  
Search Algorithm ◽  
Test System ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Voltage Deviation ◽  
Optimal Setting ◽  
Reactive Power Dispatch ◽  
And Control ◽  
Total Voltage

<p>The optimal reactive power dispatch is a kind of optimization problem that plays a very important role in the operation and control of the power system. This work presents a meta-heuristic based approach to solve the optimal reactive power dispatch problem. The proposed approach employs Crow Search algorithm to find the values for optimal setting of optimal reactive power dispatch control variables. The proposed way of approach is scrutinized and further being tested on the standard IEEE 30-bus, 57-bus and 118-bus test system with different objectives which includes the minimization of real power losses, total voltage deviation and also the enhancement of voltage stability. The simulation results procured thus indicates the supremacy of the proposed approach over the other approaches cited in the literature.</p>

scholarly journals Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2333 ◽  
Author(s):  
Tawfiq M. Aljohani ◽  
Ahmed F. Ebrahim ◽  
Osama Mohammed
Keyword(s):  
Particle Swarm Optimization ◽  
Reactive Power ◽  
Particle Swarm ◽  
Hybridization Technique ◽  
Swarm Optimization ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Voltage Deviation ◽  
Reactive Power Dispatch ◽  
Artificial Physics

The optimal reactive power dispatch (ORPD) problem represents a noncontinuous, nonlinear, highly constrained optimization problem that has recently attracted wide research investigation. This paper presents a new hybridization technique for solving the ORPD problem based on the integration of particle swarm optimization (PSO) with artificial physics optimization (APO). This hybridized algorithm is tested and verified on the IEEE 30, IEEE 57, and IEEE 118 bus test systems to solve both single and multiobjective ORPD problems, considering three main aspects. These aspects include active power loss minimization, voltage deviation minimization, and voltage stability improvement. The results prove that the algorithm is effective and displays great consistency and robustness in solving both the single and multiobjective functions while improving the convergence performance of the PSO. It also shows superiority when compared with results obtained from previously reported literature for solving the ORPD problem.

scholarly journals Optimal Reactive Power Dispatch untuk Meminimalkan Rugi Daya Menggunakan Flower Pollination Algorithm

2019 ◽  
Vol 11 (2) ◽  
pp. 36-43
Author(s):  
Fredi Prima Sakti ◽  
Jimmy Trio Putra
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Linear Optimization ◽  
Electric Power System ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Bus Voltage

This paper presents the Flower Pollination Algorithm (FPA) metaheuristic used to solve the Optimal Reactive Power Dispatch (ORPD) problem. ORPD is a non-linear optimization problem in the electric power system that regulates the generation of reactive power at the generator to minimize the real power loss on the transmission line while maintaining all parameters at the allowable value. In this case the FPA algorithm is used to find the minimum power loss by adjusting the voltage magnitude value of the generator, the transformer tap settings, and the reactive power compensator value in the system while maintaining the magnitude of the bus voltage, active and reactive power at the generator, and the channel capacity remains at its safe limit. ORPD is applied to the IEEE-30 Bus system test consisting of 8 generating units, 4 transformers, 9 reactive power compensators and 41 channels. The system has a load of 283.4 MW and 126.2 MVAR. The results after being optimized using FPA shows the power loss in the channel is reduced to 4,895 MW or reduced by 15.89%. The results of optimization using FPA showed better results compared to Genetic Algorithm and Particle Swarm Optimization.

scholarly journals Impact of the penetration of distributed generation on optimal reactive power dispatch

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Tanmay Das ◽  
Ranjit Roy ◽  
Kamal Krishna Mandal
Keyword(s):  
Power System ◽  
Transmission Line ◽  
Distributed Generation ◽  
Power Loss ◽  
Reactive Power ◽  
System Stability ◽  
Jaya Algorithm ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

AbstractOptimal reactive power dispatch (ORPD) is a complex and non-linear problem, and is one of the sub-problems of optimal power flow (OPF) in a power system. ORPD is formulated as a single-objective problem to minimize the active power loss in a transmission system. In this work, power from distributed generation (DG) is integrated into a conventional power system and the ORPD problem is solved to minimize transmission line power loss. It proves that the application of DG not only contributes to power loss minimization and improvement of system stability but also reduces energy consumption from the conventional sources. A recently proposed meta-heuristic algorithm known as the JAYA algorithm is applied to the standard IEEE 14, 30, 57 and 118 bus systems to solve the newly developed ORPD problem with the incorporation of DG. The simulation results prove the superiority of the JAYA algorithm over others. The respective optimal values of DG power that should be injected into the four IEEE test systems to obtain the minimum transmission line power losses are also provided.

scholarly journals Optimal reactive power dispatch by chaotic biogeography based optimization

2015 ◽  
Vol 18 (3) ◽  
pp. 55-64
Author(s):  
Quy Xuan Truong ◽  
Dieu Ngoc Vo
Keyword(s):  
Reactive Power ◽  
Optimization Problems ◽  
Capacitor Bank ◽  
Stability Index ◽  
Total Power ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Voltage Deviation ◽  
Tap Changer ◽  
Reactive Power Dispatch

This paper proposes a chaotic biogeography based optimization (CBBO) for solving optimal reactive power dispatch (ORPD) problem. Based on biogeography based optimization (BBO) theory proposed by Dan Simon in 2008, a new artificial intelligence with full models and equations have been used to achieve the best solution for objective function of ORPD such as total power loss, voltage deviation and voltage stability index while satisying various constraints of power balance, voltage limits, transformers tap changer limits and switchable capacitor bank limits. The BBO has been enhanced its search ability by adding chaotic theory. Therefore, the proposed CBBO can obtain better solutiong quality than BBO for optimization problems. The proposed method has been tested on the IEEE-30 and IEEE-118 bus systems and the obtained results have been verified with other methods. The result comparison has indicated that the CBBO can be a promise method for dealing the ORPD problem

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