Self Adaptive Firefly Algorithm for Reducing both Power Losses and Net VSI in Power System

2017 ◽  
Vol 4 (8) ◽  
pp. 1-6
Author(s):  
B.Suresh Babu ◽  
Keyword(s):  
Power System ◽  
Firefly Algorithm ◽  
Power Losses ◽  
Self Adaptive

Optimal Placement of SVC Using Fuzzy and Firefly Algorithm

2015 ◽  
Vol 4 (4) ◽  
pp. 113
Author(s):  
P.SURESH BABU ◽  
P.B. CHENNAIAH ◽  
M. SREEHARI
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Optimal Placement ◽  
Loading Conditions ◽  
Static Var Compensator ◽  
Power Losses ◽  
Major Threat ◽  
New Approaches ◽  
Bus System

<p>Voltage stability is major phenomena in any power system network for reliability and continuity operation. But the tight operation of power system due to overloading or fault on the system which is evitable and major threat to the power system. So it is necessary to maintain the voltages within the constraints at the overloading conditions also by placing of Static VAR Compensator (SVC) at optimal locations. New approaches are used to find the placement and size of the SVC at different locations. Fuzzy is used to find the location and the size of the SVC is fined by the Firefly algorithm. This paper considers different loading conditions of the power system network (125,150,175over loading conditions). From the results we can conclude that the power losses are reduced and the voltages can be maintained within the limits .IEEE 14 bus, IEEE 30 bus system is taken for the implementing the above techniques.</p>

scholarly journals Optimal Allocation of UPFC to Minimize Real Power Losses using Firefly Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 2675-2680
Keyword(s):  
Power System ◽  
Power Flow ◽  
Firefly Algorithm ◽  
Optimal Allocation ◽  
System Stability ◽  
Unified Power Flow Controller ◽  
Power Losses ◽  
Minimal Level ◽  
Real Power ◽  
Power Flow Controller

Reducing the loss of real power and maintaining the system voltage under limits are challenging and major problems in a power system network. Thus, it is desired to adapt an effective method that could clear up these problems or reduce it to the minimal level. Controllers with FACTS, for instance Unified Power Flow Controller (UPFC) can effectively enhance the various power system parameters. This paper proposes a new meta-heuristic algorithm known as firefly algorithm (FA) which is used to select the optimal location and sizing of UPFC , which minimizes the total real power losses and to maintain the voltage under limits, there by maintaining the power system stability. On the IEEE 14 bus system the performance of the proposed method is examined by taking into account the 125%, 150%, 175% and 200% overloading cases.

scholarly journals Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement

2020 ◽  
Vol 17 (2) ◽  
pp. 720
Author(s):  
Zulkiffli Bin Abdul Hamid ◽  
Sylvester Jipinus ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Rahmatul Hidayah Salimin
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Heuristic Algorithm ◽  
Distribution System ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Optimization Technique ◽  
Optimal Size ◽  
Power Losses ◽  
Real Power

This paper proposes an optimization technique for distributed generation (DG) sizing in power system. The DG placement was done through Loss Sensitive (LS) technique to determine the suitable locations. The LS index is calculated such that the change in power losses is divided with generation increment and a rank of buses is obtained to identify the suitable locations for DG placement.  Subsequently, a meta-heuristic algorithm, known as Firefly Algorithm (FA) was run to obtain the optimal size or capacity of the DG. The installation takes into consideration the aspect of voltage stability in terms of total real power losses and voltage profiles to be improved in the distribution system. Based on the experiment, the real power losses and voltage profiles were improved significantly as a result of the DG placement. In addition, the installation could prevent the power system from collapse as the reactive loading was increased to maximum.

scholarly journals Self-Adaptive Firefly Algorithm for solving Unit Commitment Problem in Power System

2021 ◽  
Vol 1921 ◽  
pp. 012066
Author(s):  
Selvarasu Ranganathan ◽  
V Velmurugan ◽  
Palanivel Panjamoorthy ◽  
Ellappan Venugopal
Keyword(s):  
Power System ◽  
Firefly Algorithm ◽  
Unit Commitment ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Self Adaptive

scholarly journals An Improved Particle Swarm Optimization Algorithm Using Eagle Strategy for Power Loss Minimization

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Hamza Yapıcı ◽  
Nurettin Çetinkaya
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Power System ◽  
Power Loss ◽  
Particle Swarm Optimization Algorithm ◽  
Reactive Power ◽  
Particle Swarm ◽  
Power Losses ◽  
Swarm Optimization ◽  
Eagle Strategy

The power loss in electrical power systems is an important issue. Many techniques are used to reduce active power losses in a power system where the controlling of reactive power is one of the methods for decreasing the losses in any power system. In this paper, an improved particle swarm optimization algorithm using eagle strategy (ESPSO) is proposed for solving reactive power optimization problem to minimize the power losses. All simulations and numerical analysis have been performed on IEEE 30-bus power system, IEEE 118-bus power system, and a real power distribution subsystem. Moreover, the proposed method is tested on some benchmark functions. Results obtained in this study are compared with commonly used algorithms: particle swarm optimization (PSO) algorithm, genetic algorithm (GA), artificial bee colony (ABC) algorithm, firefly algorithm (FA), differential evolution (DE), and hybrid genetic algorithm with particle swarm optimization (hGAPSO). Results obtained in all simulations and analysis show that the proposed method is superior and more effective compared to the other methods.

A Procedure of Drawing up Integral Indicators for Comprehensively Estimating the Properties of Electric Power System Nodes

Vestnik MEI ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 11-18
Author(s):  
Nailia Sh. Chemborisova ◽  
◽  
Ivan D. Chernenkov ◽  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Reactive Power ◽  
Voltage Regulation ◽  
Reactive Power Compensation ◽  
Electric Power System ◽  
Power Losses ◽  
System Operation ◽  
Active Power Losses ◽  
System Nodes

The problem of selecting the electric power system control nodes is studied. By performing control of these modes, matters concerned with providing reliable power supply of the required quality to consumers can be settled in the most efficient manner. As an example, a fragment of the electric power system mathematical model used in the Finist mode-setting simulator for a power system dispatch control center operator is considered, which represents a highly branched electrical network consisting of eleven 110 kV nodes, three 220 kV nodes connected with the system, and two generator nodes. A new procedure for selecting the control nodes is proposed, which takes into account a combination of different indicators having different measurement units, dimensions and scales is proposed. These indicators characterize the following properties of power system nodes: the reactive power fraction absorbed at a node, the sensitivity of voltage to reactive load variations, the number of connected power lines, and statistical indicators characterizing the change of voltage at the nodes and reactive power flows for different options of installing the reactive power compensation devices. For combined use of these indicators, they were ranked according to the efficiency of installing reactive power compensation devices in the system. For each indicator, a scale of five ranks (intervals) is set, which determine the preferences (qualitative judgments) of the researcher in evaluating the reactive power compensation devices installation efficiency at the system nodes. The highest rank (5) corresponds to the maximum efficiency, and the lowest rank (1) corresponds to the minimum efficiency. To calculate the individual (integral) priority indicator of installing reactive power compensation devices, the ranks of indicators are added together, and their sum is divided by the product of the number of ranks by the number of the used indicators (features). Based on the calculation results, the rating (location) of each node is determined, and the nodes for installing the reactive power compensation devices are selected according to their effect on ensuring the electric power system operation reliability, active power losses in the network, and voltage regulation. Thus, a new procedure is presented for determining the integral indicators for comprehensively estimating the properties of complex electric power system nodes and selecting the controlled nodes using a system of various indicators. These indicators characterize the studied nodes in terms of the efficiency of installing reactive power compensation devices to reduce active power losses in the network, voltage regulation, and ensuring the electric power system operational reliability. The validity of the results obtained in the study is confirmed by their comparison with the indicators of the balance-conductivity method, which has proven itself in solving problems connected with determining the nodes for controlling electric power system operation modes.

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