Reactive Power Planning for transmission loss minimization

2011 ◽  
Author(s):  
A. M. Ramly ◽  
N. Aminudin ◽  
I. Musirin ◽  
D. Johari ◽  
N. Hashim
Keyword(s):  
Reactive Power ◽  
Transmission Loss ◽  
Loss Minimization ◽  
Reactive Power Planning

scholarly journals Loss Minimization in Optimal Reactive Power Planning (ORPP) Based on Whale Optimization Algorithm

2018 ◽  
Vol 7 (3.15) ◽  
pp. 192
Author(s):  
Muhammad Hakimin Nasru ◽  
Ismail Musirin ◽  
Mohamad Khairuzzaman Mohamad Zamani ◽  
Siti Rafidah Abdul Rahim ◽  
Muhamad Hatta Hussain ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Optimal Allocation ◽  
Reactive Power ◽  
Transmission Loss ◽  
Whale Optimization Algorithm ◽  
Loss Minimization ◽  
Power Scheduling ◽  
Whale Optimization ◽  
Reactive Power Planning ◽  
Better Than

The key of RPP is the optimal allocation of reactive power considering location and size. This paper presents the loss minimization in optimal reactive power planning (ORPP) based on Whale Optimization Algorithm (WOA). The objective is to minimize transmission loss by considering several load conditions at bus 3, bus 15 and bus 21. Reactive Power Scheduling (RPS) and Transformer Tap Changer Setting (TTCS) were set as the control variables. Validation was conducted on the IEEE 30 Bus RTS. Results from the study indicate that the proposed WOA can minimize transmission loss better than Evolutionary Programming (EP). 

scholarly journals A Numerically Robust Sequential Linear Programming Algorithm for Reactive Power Optimization

2020 ◽  
Vol 188 ◽  
pp. 00002
Author(s):  
Abraham Lomi ◽  
Awan Uji Krismanto ◽  
I Made Wartana ◽  
Dipu Sarkar
Keyword(s):  
Linear Programming ◽  
Reactive Power ◽  
Power Optimization ◽  
Transmission Loss ◽  
Base Case ◽  
Sequential Linear Programming ◽  
Reactive Power Optimization ◽  
Control Logic ◽  
Loss Minimization ◽  
Primal Dual

A robust sequential primal-dual linear programming formulation for reactive power optimization is developed and discussed in this paper. The algorithm has the characteristic that no approximations or complicate control logic are required in the basic Sequential Linear Programming (SLP) formulation as used by other SLP algorithms reported in the literature. Transmission loss minimization is used as the primary objective. A secondary feasibility improvement objective is used which results in better feasible solution in comparison with the loss minimization objective especially when the initial base case has over voltages. Modification in the proposed method to obtain the limited amount and limited movement of controller solution for real time application is also presented. The algorithm has been tested on Ward and Hale 6-Bus system.

SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm

2013 ◽  
Vol 62 (4) ◽  
pp. 649-661 ◽  
Author(s):  
R. Selvarasu ◽  
M. Surya Kalavathi ◽  
C. Christober Asir Rajan
Keyword(s):  
Power Systems ◽  
Firefly Algorithm ◽  
Reactive Power ◽  
Transmission Loss ◽  
Static Var Compensator ◽  
Optimization Strategy ◽  
Loss Minimization ◽  
Adaptive Scheme ◽  
Acceptable Range ◽  
Self Adaptive

Abstract Static Var Compensator (SVC) is a popular FACTS device for providing reactive power support in power systems and its placement representing the location and size has significant influence on network loss, while keeping the voltage magnitudes within the acceptable range. This paper presents a Firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing the transmission loss besides keeping the voltage magnitude within the acceptable range. The method uses a self-adaptive scheme for tuning the parameters in the Firefly algorithm. The strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness.

A Hybrid GWO-PSO technique for the solution of Reactive Power Planning Problem

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
New England ◽  
Reactive Power ◽  
Heuristic Algorithms ◽  
Transmission Loss ◽  
Operating Cost ◽  
Optimal Solution ◽  
Planning Problem ◽  
Power Sources ◽  
Solution Strategies ◽  
Reactive Power Planning

Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This is done by the placement of reactive power sources in the weak buses and thereafter minimizing the operating cost of the system which is directly dependent on the system transmission loss. The work proposed in this article utilizes FVSI method to detect the weak bus. GWO-PSO is proposed in the current work for providing optimal solution to RPP problem. To test the efficacy of the proposed technique, comparative analysis is then performed among the variants of PSO and hybrid GWO-PSO. The optimal solution rendered by the proposed method is compared with other heuristic algorithms. The proposed method of GWO-PSO generates a reduction of 4.25% in operating cost for IEEE 30 bus and 5.99% for New England 39 bus system. The comparison thus yields that the GWO-PSO hybrid method is superior in generating optimality, diversity and is efficient to generate solution strategies for RPP even in a practical power network.

Implementation and Optimal Sizing of TCSC for the Solution of Reactive Power Planning Problem Using Quasi-Oppositional Salp Swarm Algorithm

2021 ◽  
Vol 10 (2) ◽  
pp. 74-103
Author(s):  
Saurav Raj ◽  
Sheila Mahapatra ◽  
Chandan Kumar Shiva ◽  
Biplab Bhattacharyya
Keyword(s):  
Reactive Power ◽  
Transmission Loss ◽  
Optimal Placement ◽  
Planning Problem ◽  
Index Method ◽  
Salp Swarm Algorithm ◽  
Optimal Coordination ◽  
Swarm Algorithm ◽  
Reactive Power Planning ◽  
Bus System

In this article, innovative algorithms named as salp swarm algorithm (SSA) and hybrid quasi-oppositional SSA (QOSSA) techniques have been proposed for finding the optimal coordination for the solution of reactive power planning (RPP). Quasi-oppositional based learning is a promising technique for improving convergence and is implemented with SSA as a new hybrid method for RPP. The proposed techniques are successfully implemented on standard test systems for deprecation of real power losses and overall cost of operation along with retention of bus voltages under acceptable limits. Optimal planning has been achieved by minimizing reactive power generation and transformer tap settings with optimal placement and sizing of TCSC. Identification of weakest branch in the power network is done for optimal TCSC placement and is tendered through line stability index method. Optimal TCSC placement renders a reduction in transmission loss by 8.56% using SSA and 8.82% by QOSSA in IEEE 14 bus system and 7.57% using SSA and 9.64% by QOSSA in IEEE 57 bus system with respect to base condition.

A Hybrid GWO-PSO technique for the solution of Reactive Power Planning Problem

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
New England ◽  
Reactive Power ◽  
Heuristic Algorithms ◽  
Transmission Loss ◽  
Operating Cost ◽  
Optimal Solution ◽  
Planning Problem ◽  
Power Sources ◽  
Solution Strategies ◽  
Reactive Power Planning

Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This is done by the placement of reactive power sources in the weak buses and thereafter minimizing the operating cost of the system which is directly dependent on the system transmission loss. The work proposed in this article utilizes FVSI method to detect the weak bus. GWO-PSO is proposed in the current work for providing optimal solution to RPP problem. To test the efficacy of the proposed technique, comparative analysis is then performed among the variants of PSO and hybrid GWO-PSO. The optimal solution rendered by the proposed method is compared with other heuristic algorithms. The proposed method of GWO-PSO generates a reduction of 4.25% in operating cost for IEEE 30 bus and 5.99% for New England 39 bus system. The comparison thus yields that the GWO-PSO hybrid method is superior in generating optimality, diversity and is efficient to generate solution strategies for RPP even in a practical power network.

Comparison of SVC and TCSC Installation in Transmission Line with Loss Minimization and Cost of Installation via Particle Swarm Optimization

2015 ◽  
Vol 785 ◽  
pp. 495-499
Author(s):  
Siti Amely Jumaat ◽  
Ismail Musirin
Keyword(s):  
Particle Swarm Optimization ◽  
Transmission Line ◽  
Objective Function ◽  
Transmission Loss ◽  
Particle Swarm ◽  
Static Var Compensator ◽  
Loss Minimization ◽  
Swarm Optimization ◽  
The Cost ◽  
Thyristor Controlled Series Compensator

The paper presents a comparison of performance Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) with objective function to minimize the transmission loss, improve the voltage and monitoring the cost of installation. Simulation performed on standard IEEE 30-Bus RTS and indicated that EPSO a feasible to achieve the objective function.

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