A new multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller

Phadke, A. R.; Fozdar, Manoj; Niazi, K. R.

doi:10.1016/j.ijepes.2012.02.004

Cited by 68 publications

(27 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[16] UPFC HICA-PS Voltage Collapse Prevention [17] UPFC ABC, GSA Improve Dynamic Stability of the System [18] SVC, TCSC RGA To improve Available Transfer Capability (ATC) [19] STATCOM Fuzzy, GA Voltage Stability Enhancement [20] UPFC BAT Search Algorithm Minimize real power losses in power system [21] DSTATCOM IA Reduce Power loss and improve voltage profile [22] UPFC NSGA-II, CMAES Increase loadability and total minimize cost of the system [23] UPFC FA, CS Enhance dynamic stability of the system [24] UPFC TS, EPSO Improve power transmission capability Recently, a novel, robust and intelligence optimization technique "Artificial Algae Algorithm (AAA)" has been developed from the living behaviors of microalgae [25]. For the author's knowledge, the application of the AAA concretely for ideal location of FACTS devices (UPFC) has not tested yet in the research publications.…”

Section: Ref Facts Devices Techniques/algorithms Objectivesmentioning

confidence: 99%

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

Zahid

Chen

et al. 2017

Energies

View full text Add to dashboard Cite

Operation of power system within specified limits of voltage and frequency are the major concerns in power system stability studies. As power system is always prone to disturbances, which consequently affect the voltage instability and optimal power flow, and therefore risks the power systems stability and security. In this paper, a novel technique based on the "Artificial Algae Algorithm" (AAA) is introduced, to identify the optimal location and the parameters setting of Unified Power Flow Controller (UPFC) under N-1 contingency criterion. In the first part, we have carried out a contingency operation and ranking process for the most parlous lines outage contingencies while taking the transmission lines overloading (NOLL) and voltage violation of buses (NVVB) as a performance parameter (PP = NOLL + NVVB). As UPFC possesses too much prohibitive cost and larger size, its optimal location and size must be identified before the actual deployment. In the second part, we have applied a novel AAA technique to identify the optimal location and parameters setting of UPFC under the discovered contingencies. The simulations have been executed on IEEE 14 bus and 30 bus networks. The results reveals that the location of UPFC is significantly optimized using AAA technique, which has improved the stability and security of the power system by curtailing the overloaded transmission lines and limiting the voltage violations of buses.

show abstract

Section: Ref Facts Devices Techniques/algorithms Objectivesmentioning

confidence: 99%

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

Zahid

Chen

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…Phadke et al . have suggested a method, in which Fuzzy logic and Real Coded Genetic algorithm is used for connecting and sizing the shunt FACTS controller. By doing so, the effective area can be measured perfectly using the shunt FACTS devices.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Dynamic Stability of Power Systems Using UPFC: Bat‐Inspired Search and Gravitational Search Algorithms

Kumar¹,

Srikanth²

2015

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, the bat‐inspired algorithm and the Gravitational Search Algorithm (GSA) based optimal location and capacity of UPFC are proposed to improve the dynamic stability of power systems. The novelty of the proposed method is in improved searching ability, random reduction and reduced complexity. Here, the GSA is used to optimize the location of the UPFC if a generator fault occurs. The GSA selects the maximum power loss line as the optimum location to place UPFC as per the objective function, since the generator fault violates the system equality and inequality constraints from the secure limit. From the UPFC control parameters, the minimum voltage deviation is optimized using the bat algorithm. The minimum voltage deviation has been used to find the optimum capacity of the UPFC. Then the optimum UPFC capacity is applied in the optimum location, which enhances the dynamic stability of the system. The proposed method is implemented in the MATLAB/Simulink platform and the performance is evaluated by means of comparison with the different techniques like GSA and bat‐inspired algorithm. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

show abstract

“…Therefore, by absorbing/supplying the reactive power, DSTATCOM regularizes the voltage. Optimal location and sizing of shunt FACTS controllers such as SVC or STATCOM is very important to protect the system from voltage collapse and to provide better voltage profile [5]. Distribution STATic COMpensator (D-STATCOM) is proposed for compensation of reactive power and unbalance caused by various loads in distribution system.…”

Section: Introductionmentioning

confidence: 99%

Placement and Sizing of D-STATCOM Using Particle Swarm Optimization

Devi¹,

Geethanjali²

2014

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

This paper addresses the improvement of power quality using distribution Static Compensator in radial distribution systems. The major factors to improve the quality of power are voltage profile improvement and total loss reduction of the system. Compensation of reactive power decreases the total power loss of the distribution systems. The main objective of this work is to reduce the total loss of the radial distribution system with voltage profile improvement. Particle Swarm Optimization technique has been used in this work for the placement and sizing of DSTATCOM in radial distribution systems. Also, the test results are compared with the results obtained from the analytical method. The proficiency and significance of the proposed work have been instigated on 12, 34 and 69 bus radial distribution system consisting of 11, 33 and 68 sections respectively.

show abstract

A new multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller

Cited by 68 publications

References 14 publications

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

Dynamic Stability of Power Systems Using UPFC: Bat‐Inspired Search and Gravitational Search Algorithms

Placement and Sizing of D-STATCOM Using Particle Swarm Optimization

Contact Info

Product

Resources

About