Improved Genetic Algorithm Approach for Multi-Objective contingency constrained Reactive Power Planning

Durairaj, S.; Devaraj,; Kannan, P.

doi:10.1109/indcon.2005.1590223

Cited by 10 publications

(7 citation statements)

References 14 publications

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“…The IEEE 14-bus system, which consists of five generator buses, 9 load buses and 20 lines in which three lines are with the tap changing transformers. The line parameters and loads are taken from [13]. IEEE 30-bus system comprises of 6 generator buses, 24 load buses and 41 lines of which 4 branches are with the tap changing transformers.…”

Section: Resultsmentioning

confidence: 99%

“…The equation (13) represents the position of each member in the population of the S bacteria, at the j th chemotactic step, k th reproduction step and l th elimination-dispersal event. Let N c be the length of the life time of the bacteria as measured by the number of chemotactic steps taken during their life.…”

Section: Bacterial Foraging Algorithm For the Proposed Methodsmentioning

confidence: 99%

“…This is mathematically stated as [9], [13]: Minimize (2) The first term f 1 represents real power loss as [9, [13] …”

Section: Problem Formulationmentioning

confidence: 99%

“…Many techniques of compensation were used by power system industries to minimize the losses and improve the voltage profile, such as on-load tap changing (OLTC) transformer and Flexible AC Transmission Systems (FACTS) devices. Introducing FACTS controller at the appropriate location is the most effective way to improve the voltage and power flow in many utilities [2], [8], [11], [13]. Static Var Compensator (SVC), Thyristor Controlled Phase Shifting Transformer (TCPST) and Thyristor Controlled Series Capacitor (TCSC) can exert a voltage in series with the line and, therefore, can control the active power through a transmission line [2], [11].…”

Section: Introductionmentioning

confidence: 99%

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Bacterial Foraging Algorithm based Enhancement of Voltage Profile and Minimization of Losses Using Thyristor Controlled Series Capacitor (TCSC)

Kumar¹,

Renuga²

2010

IJCA

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Loss minimization in power system is an important research issue. Transmission line losses in a power system can be minimized by means of reactive power compensation. The continuous demand in electric power system network has caused it to be heavily loaded leading to voltage instability. This phenomenon has also led to voltage profile depreciation below the acceptable secure limit. The significance and use of Flexible AC Transmission Systems (FACTS) devices and capacitor placement is in order to alleviate the voltage profile decay problem. Identification of the optimal value of compensating devices requires proper optimization technique, easy to search the optimal solution with less computational burden. This paper presents an application of Bacterial Foraging (BF) algorithm in optimizing the optimal location and design of Thyristor Controlled Series Capacitor (TCSC) for voltage profile improvement and minimization of losses in a power system which utilized the TCSC as the control variable. The proposed approach has been evaluated with three different objective functions namely, loss minimization, voltage profile improvement and voltage stability enhancement. Voltage stability level of the system is defined on the L-index of the load buses. The IEEE 14bus and IEEE 30bus systems are used as test systems to demonstrate the applicability and efficiency of the proposed system. The proposed method is compared with Genetic Algorithms (GAs) and Non-dominated Sorting Particle Swarm Optimization (NSPSO). The test result shows that the location of TCSC improves the voltage profile of the system and also minimizes the transmission line losses.

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Section: Resultsmentioning

confidence: 99%

Section: Bacterial Foraging Algorithm For the Proposed Methodsmentioning

confidence: 99%

“…This is mathematically stated as [9], [13]: Minimize (2) The first term f 1 represents real power loss as [9, [13] …”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bacterial Foraging Algorithm based Enhancement of Voltage Profile and Minimization of Losses Using Thyristor Controlled Series Capacitor (TCSC)

Kumar¹,

Renuga²

2010

IJCA

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“…It assesses the steady-state voltage levels for any node in the test system and provides highly consistent results compared to other voltage stability indices, e.g., voltage collapse prediction index (VCPI), equivalent node voltage collapse index (ENVCI), fast voltage stability index (FASI), etc. [25]. Such indices are crucial factors to be considered in the planning and operation of an electrical network.…”

Section: Minimization Of Voltage Stability Indexmentioning

confidence: 99%

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

2019

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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.

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Shunt capacitor renewal planning through cost leveling strategy using condition age model

Tanaka

Suzuki

Iwamoto

2012

2012 10th International Power &Amp; Energy Conference (IPEC)

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Improved Genetic Algorithm Approach for Multi-Objective contingency constrained Reactive Power Planning

Cited by 10 publications

References 14 publications

Bacterial Foraging Algorithm based Enhancement of Voltage Profile and Minimization of Losses Using Thyristor Controlled Series Capacitor (TCSC)

Bacterial Foraging Algorithm based Enhancement of Voltage Profile and Minimization of Losses Using Thyristor Controlled Series Capacitor (TCSC)

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

Shunt capacitor renewal planning through cost leveling strategy using condition age model

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