DSTATCOM In Distribution Systems Research Articles

Control of Dstatcom in Distribution System by Artificial Intelligence Based Controller

Issues linked to power quality are currently of the utmost importance. The utilization of non-linear loads is the cause of the power quality issues. All of these loads cause disruptions in the force of power services, system effectiveness, power factor decrease, etc. because of their nonlinearity. In order to increase power quality in grid connections, this research proposes an adaptive neuro fuzzy conclusion system (ANFIS) based control method for a three- phase DSTATCOM. In addition to improving power factor and balancing power between active and reactive components, the primary function of the DSTATCOM is to compensate for current harmonics introduced into the supply current due to non-linear loads. Matlab software is used to carry out the simulation.

Optimal Allocation of Distributed Generation, Capacitor Banks and D-STATCOM in Distribution Systems

This paper demonstrates the problem of simultaneous optimal allocation of distributed generations (DGs), shunt capacitor banks (CBs), and distribution FACTSs based D-STATCOMs in distribution network for the improvement of the entire system performance. Here, two objectives, total power loss minimization, and overall voltage stability index (VSI) maximization are considered. In general, minimization of power loss is the primary objective, and VSI is considered for improved voltage stability. VSI must be positive to obtain a stable operation and a higher VSI value represents better stability of the RDS. These objectives are solved subject to constraints related to power balance, DGs, CBs, D-STATCOM powers, bus voltages, and VSI. Here, single objective problem is solved using Particle swarm optimization (PSO), and the multi-objective problem is solved using multi-objective PSO (MO-PSO). Standard 33 bus RDS is considered for solving this problem. The results obtained show that proposed optimization has improved the voltage profile and overall VSI of the RDS and minimized the system power losses.

Adaptive step vector-based dragonfly optimization: a new deed for localizing and sizing D-STATCOM in distribution system

ABSTRACT In power systems, parameters such as outage of components and continual load growth may pave the way to problems like dynamic and static inconsistencies like adequacy and security consequences of disturbances. For dealing with such predicaments, deployment of Custom Power Devices is the major widely adopted approach. Anyhow, these devices must be positioned in an optimal location with setting for extracting the most possible benefits. Hence, this paper introduces an Adaptive Step vector based Dragonfly Optimisation (ASDA) to solve the location and sizing issues of D-STATCOM focusing on reactive power compensation. Moreover, the solutions are encoded with two bound constraints to deal with both the localising and sizing issues like minimisation of power loss and Voltage Stability Index (VSI).

Integration of Solar and Wind Based DGs with DSTATCOM in Distribution Systems using Modified Bat Algorithm

Nowadays, renewable energy sources based distributed generations (REDGs) interconnection with distribution system is gaining more attention by the power system engineers since it meets increasing load demand and cancel out environmental threats. Suitable incorporation of REDGs in radial distribution system (RDS) is vital in ensuring qualitative network operational profits. In this present approach a modified bat algorithm (MBA) based optimization method is employed to allocate solar and wind DGs along with DSTATCOM in RDS. The proposed new multi objective function to mitigate power loss, bus voltage development stability betterment and Total Operating Cost (TOC) minimization. Proper modelling of solar irradiance and wind speed have been done in the RDS. The present approach is tested to Indian countrified system structure and standard IEEE 69-bus system, and received satisfactory outputs.

IRP Control Based LSCPWM-Multilevel DSTATCOM for Power Quality Improvement

Majority of the consumer loads are of non-linear in nature and bring about deprived quality of power in distribution system. FACTS based DSTATCOM is a compensating device placed in shunt to power line to improve the power quality eliminating the effect of harmonics in source components. The paper presents multi-level DSTATCOM in distribution system to enrich the quality of power. Five-level cascaded H-Bridge structures DSTATCOM is employed to drive with compensating signals for power quality improvement. Five-level DSTATCOM is triggered from multi-carrier LSCPWM pattern. Reference signals are generated from IRP based control theory. The proposed system is capable to compensate for system unbalance, power factor and harmonics in the system. Simulation work of the proposed concept is carried out and the results are presented using MATLAB/SIMULINK software.

Impact of D-STATCOM in distribution systems with load growth on stability margin enhancement and energy savings using PSO and GAMS

Impact of D-STATCOM in distribution systems with load growth on stability margin enhancement and energy savings using PSO and GAMS

Improvement of Power Quality Using Fuzzy Controlled D-STATCOM in Distribution System

This paper investigates the problems associated with distribution system in terms of delivery of clean power and their solutions. Power quality has become a major issue in the present power system network. The network has mostly inductive nature. This draws more reactive power. This causes harmonics and voltage unbalance problems. So maintain the proper operation of interconnected power system, we are using one of the facts devices such as fuzzy controlled D-statcom. It provides suitable compensation and there by maintain proper power factor and also reduces harmonic contents. The simulation is taken out by MATLAB/SIMULINK and the result shows the effectiveness of GA (Genetic algorithm) simulation. Optimized Fuzzy controlled D-STATCOM for improvement of power quality.

Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm

In this paper, optimal location and sizing of DSTATCOM for the sake of power loss reduction, and improvement of current and voltage profile in distribution networks are investigated. An effective biologically inspired algorithm (Immune Algorithm) is used to search the best location and determine the size of DSTATCOM. By keeping voltage and current profile improvements in mind, minimum cost of installation of DSTATCOM and maximum power loss reduction are integrated into an objective function through appropriate weighting factors. Comparative results are obtained on two standard distribution systems (IEEE 33-bus and IEEE 69-bus) with encouraging optimization as far as location and size of DSTATCOM and objective function minimization are concerned.