Differential Evolution Algorithm Based Optimal Reactive Power Control for Voltage Stability Improvement

Voltage stability assessment plays a major role in planning and operation of power system. This paper presents an efficient approach to solve reactive power control problem for voltage stability improvement. In this approach the voltage stability index is formulated to identify the most vulnerable bus at various operating conditions. The bus with the value of maximum VSI is considered as the most critical bus. To maintain the stability of the system the severity of the load buses has to be minimized. This can be achieved by the optimal settings of control variables using Differential Evolution Algorithm. The effectiveness of the proposed approach has been examined on the standard IEEE 30 bus test system under stressed and contingency condition.

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Optimal Multi-objective Reactive Power Dispatch Considering Static Voltage Stability Based on Dynamic Multi-group Self-Adaptive Differential Evolution Algorithm

2012 Second International Conference on Intelligent System Design and Engineering Application ◽

10.1109/isdea.2012.412 ◽

2012 ◽

Author(s):

Xuexia Zhang ◽

Weirong Chen ◽

P.N. Suganthan

Keyword(s):

Differential Evolution ◽

Voltage Stability ◽

Reactive Power ◽

Differential Evolution Algorithm ◽

Multi Objective ◽

Static Voltage Stability ◽

Adaptive Differential Evolution ◽

Evolution Algorithm ◽

Reactive Power Dispatch ◽

Group Self

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Optimal siting and sizing of multiple type DGs for the performance enhancement of Distribution System using Differential Evolution Algorithm

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i2.1135 ◽

2021 ◽

Vol 12 (2) ◽

pp. 1140-1146

Author(s):

N. Karuppiah, Et. al.

Keyword(s):

Power System ◽

Differential Evolution ◽

Power Loss ◽

Voltage Stability ◽

Differential Evolution Algorithm ◽

Stability Index ◽

Optimal Placement ◽

Loss Minimization ◽

Different Types ◽

Evolution Algorithm

The necessity of Distributed Generation (DG) in the modern power system has increased greatly. Optimal placement and sizing of DGs have a significant impact on the objectives of voltage stability enhancement, real and reactive power loss minimization and power system security and reliability. Different types of DGs such as Type I, Type II, Type III and Type IVare placed. The optimal placement of these DGs is found using Voltage Stability Index (VSI). The optimal sizing of these DGs is done using Differential Evolution (DE) algorithm. MATLAB simulation is carried out in standard IEEE 33-bus test system. The test is performed for various combinations of different types of DG. The results show that the voltage stability index along with Differential Evolution algorithm provides better voltage profile and power loss minimization as compared to the system without DG.

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Optimal Reactive Power Control of Inverter-based Distributed Generator for Voltage Stability Insight using Particle Swarm Optimization

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.137.392 ◽

2017 ◽

Vol 137 (5) ◽

pp. 392-404

Author(s):

Norhafiz Bin Salim ◽

Takao Tsuji ◽

Tsutomu Oyama ◽

Kenko Uchida

Keyword(s):

Particle Swarm Optimization ◽

Power Control ◽

Voltage Stability ◽

Reactive Power ◽

Particle Swarm ◽

Reactive Power Control ◽

Swarm Optimization ◽

Distributed Generator

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Application of UPFC for enhancement of voltage profile and minimization of losses using Fast Voltage Stability Index (FVSI)

Archives of Electrical Engineering ◽

10.2478/v10171-012-0020-4 ◽

2012 ◽

Vol 61 (2) ◽

pp. 239-250 ◽

Cited By ~ 6

Author(s):

M. Kumar ◽

P. Renuga

Keyword(s):

Power System ◽

Voltage Stability ◽

Reactive Power ◽

Optimization Technique ◽

Optimal Solution ◽

Stability Index ◽

Test System ◽

Unified Power Flow Controller ◽

Voltage Profile ◽

Voltage Stability Index

Application of UPFC for enhancement of voltage profile and minimization of losses using Fast Voltage Stability Index (FVSI)Transmission line loss minimization in a power system is an important research issue and it can be achieved by means of reactive power compensation. The unscheduled increment of load in a power system has driven the system to experience stressed conditions. This phenomenon has also led to voltage profile depreciation below the acceptable secure limit. The significance and use of Flexible AC Transmission System (FACTS) devices and capacitor placement is in order to alleviate the voltage profile decay problem. The optimal value of compensating devices requires proper optimization technique, able to search the optimal solution with less computational burden. This paper presents a technique to provide simultaneous or individual controls of basic system parameter like transmission voltage, impedance and phase angle, thereby controlling the transmitted power using Unified Power Flow Controller (UPFC) based on Bacterial Foraging (BF) algorithm. Voltage stability level of the system is defined on the Fast Voltage Stability Index (FVSI) of the lines. The IEEE 14-bus system is used as the test system to demonstrate the applicability and efficiency of the proposed system. The test result showed that the location of UPFC improves the voltage profile and also minimize the real power loss.

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