Metaheuristic optimization based placement of SVCs with multiple objectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arun Nambi Pandian ◽  
Aravindhababu Palanivelu
Keyword(s):  
Harmony Search ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Mathematical Methods ◽  
Content Type ◽  
Multi Objective ◽  
Search Optimization ◽  
Improved Harmony Search ◽  
The Given ◽  
Self Adaptive

Purpose Optimal placement of static VAR compensator (SVC) devices not only improves the voltage profile (VP) but also reduces the active power loss (APL) and enhances the voltage stability (VS) through injecting appropriate VARs at optimal buses. The traditional mathematical methods may not provide global best solution and pose difficulties in handling multi-objective SVC placement (SVCP) problem with complex constraints and forcefully place all the given number of SVCs in the system without assessing their real requirements in enhancing the chosen performances. The purpose of this paper is to formulate the SVCP as a multi-objective optimization problem and solve it using a metaheuristic algorithm for global best solution. Design/methodology/approach The proposed SVCP method uses improved harmony search optimization (IHSO) with dissonance-avoiding mechanism for obtaining the global best solution through driving away the solution from the sub-optimal traps. In addition, the method uses a self-adaptive technique for optimally tuning the IHSO parameters and places only the required number of SVCs from the given number of SVCs. Findings This paper presents the results of the proposed method for 14, 30 and 57 bus systems and exhibits that the proposed method outperforms the existing SVCP methods in achieving the desired performances. Originality/value This paper proposes a new self-adaptive IHSO based SVCP method for optimally placing only the required number of SVCs with a goal of attaining the global best performances.

Multi-objective FACTS placement using improved harmony search optimization

2020 ◽  
Vol 39 (3) ◽  
pp. 3839-3851
Author(s):  
Arun Nambi Pandian ◽  
Aravindhababu Palanivelu
Keyword(s):  
Power Systems ◽  
Harmony Search ◽  
Optimal Number ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Placement Problem ◽  
Facts Devices ◽  
Search Optimization ◽  
Solution Methods ◽  
Improved Harmony Search

Optimal placement of FACTS devices attempts to improve power transfer, minimize active power loss, enhance voltage profile and improve voltage stability, thereby making the operation of power systems more flexible and secured. The classical methods experience difficulties in solving the FACTS placement problem (FPP) with discontinuous functions and may diverge or result oscillatory convergence. Besides the number of FACTS devices for placement should be given as an input while solving the problem. The solution methods then attempts to forcefully place all the specified number of devices in the power system, but in reality, the system may require an optimal number of FACTS for placement. The application of swarm-intelligence based optimization algorithms strives to overcome the drawbacks of classical methods. This paper presents a new solution method for FACTS placement problem using improved harmony search optimization (IHSO) with a newly suggested dissonance mechanism that avoids badly composed music, with a view of avoiding the sub-optimal solutions. Besides, the method requires to specify only the maximum number of FACTS devices for placement and places only the optimal number of devices within the specified maximum number of devices. The paper also includes simulation results of three IEEE test systems for exhibiting the superiority of the proposed method.

An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

2013 ◽  
Vol 4 (1) ◽  
pp. 557-567 ◽  
Author(s):  
Komail Nekooei ◽  
Malihe M. Farsangi ◽  
Hossein Nezamabadi-Pour ◽  
Kwang Y. Lee
Keyword(s):  
Distribution Systems ◽  
Harmony Search ◽  
Optimal Placement ◽  
Multi Objective

An efficient multi-objective based squirrel search optimization for optimal placement of FACTS devices

2021 ◽  
pp. 1-19
Author(s):  
G. Adline Priya ◽  
C. Sundar ◽  
S. Pavalarajan
Keyword(s):  
Control System ◽  
Optimal Placement ◽  
Objective Functions ◽  
Power Networks ◽  
Multi Objective ◽  
Facts Devices ◽  
Search Optimization ◽  
Intellectual Control ◽  
Flexible Alternating Current Transmission ◽  
Transmission Capability

The adoption of a new transmission line is extremely complex because of its socio-economic problems such as environmental clearances. Thus, there is a prominence of better utility over available transmission infrastructure. The Flexible Alternating Current Transmission System (FACTS) devices can offer transmission capability enhancement, power compensation, and stability as well as voltage improvement. However, the FACTS devices have a higher penetration impact of wind generation for the dynamic stability of power networks. In this work, an efficient Intellectual Control system has been proposed to stabilize the FACTS devices placement. The Squirrel Search Optimization is adapted with an intellectual control system to enhance the steady-state voltage stability of FACTS devices. The proposed system has been evaluated with the assist of IEEE 14 and 26 standard bus systems to handle the multi-objective functions like cost, reduction in power loss, reducing risks, and maximizing user’s benefit. These multi-objective functions facilitate to attain the optimal placement and load flows at various sites. The simulation can be carried out with MATLAB/SIMULINK environment and the results manifest that the proposed system outperforms well when compared with existing approaches.

Plant propagation algorithm for integration of distributed generation in power systems

2018 ◽  
Vol 37 (1) ◽  
pp. 401-417
Author(s):  
Shreya Mahajan ◽  
Shelly Vadhera
Keyword(s):  
Power System ◽  
Objective Function ◽  
Distributed Generation ◽  
Weighting Factor ◽  
Voltage Profile ◽  
Plant Propagation ◽  
Content Type ◽  
Multi Objective ◽  
Propagation Algorithm ◽  
Optimisation Techniques

Purpose The purpose of this study/paper is to integrate distributed generation optimally in power system using plant propagation algorithm. Distributed generation is a growing concept in the field of electricity generation. It mainly comprises small generation units installed at calculated points of a power system network. The challenge of optimal allocation and sizing of DG is of utmost importance. Design/methodology/approach Plant propagation algorithm and particle swarm optimisation techniques have been implemented where a weighting factor-based multi-objective function is minimised. The objective is to cut down real losses and to improve the voltage profile of the system. Findings The results obtained using plant propagation algorithm technique for IEEE 33-bus systems are compared to those attained using particle swarm optimisation technique. The paper deals with the optimisation of weighting factor-based objective function, which counterpoises the losses and improves the voltage profile of the system and, therefore, helps to deliver the best outcomes. Originality/value This paper fulfils an identified need to study the multi-objective optimisation techniques for integration of distributed generation in the concerned power system network. The paper proposes a novel plant-propagation-algorithm-based technique in appropriate allocation and sizing of distributed generation unit.

scholarly journals Multi-objective optimal placement of distributed generations for dynamic loads

2019 ◽  
Vol 9 (4) ◽  
pp. 2303
Author(s):  
Shah Mohazzem Hossain ◽  
Abdul Hasib Chowdhury
Keyword(s):  
Power System ◽  
Active Power ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Power Losses ◽  
Long Distance ◽  
Utilization Factor ◽  
Distributed Generations ◽  
Multi Objective ◽  
Active Power Losses

<span lang="EN-US">Large amount of active power losses and low voltage profile are the two major issues concerning the integration of distributed generations with existing power system networks. High </span><em><span lang="EN-US">R</span></em><span lang="EN-US">/</span><em><span lang="EN-US">X</span></em><span lang="EN-US"> ratio and long distance of radial network further aggravates the issues. Optimal placement of distributed generators can address these issues significantly by alleviating active power losses and ameliorating voltage profile in a cost effective manner. In this research, multi-objective optimal placement problem is decomposed into minimization of total active power losses, maximization of bus voltage profile enhancement and minimization of total generation cost of a power system network for static and dynamic load characteristics. Optimum utilization factor for installed generators and available loads is scaled by the analysis of yearly load-demand curve of a network. The developed algorithm of N-bus system is implemented in IEEE-14 bus standard test system to demonstrate the efficacy of the proposed method in different loading conditions.</span>

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