DG Installation Research Articles

Loss reduction and reliability improvement in distributed network using HF-SOA based optimal installation of DG, SCs and STF

Loss reduction and reliability improvement in distributed network using HF-SOA based optimal installation of DG, SCs and STF

Optimal Dispatchable DG Location and Sizing with an Analytical Method, based on a New Voltage Stability Index

With the high penetration of DGS in the distribution network and its impact on the power loss and voltage profile of the network, the choice of location and the optimal size of the DG has become a challenge for utility companies. In this paper, a method for determining the optimal location and size of dispatchable DG at different load levels for optimal utilization of the distribution network is presented. The goal is to reduce active power losses and improve voltage profiles for stable system performance. The average daily load demand is considered as the load demand profile. The optimal location of DG is determined by sensitivity analysis based on a new voltage stability index. The voltage stability index is based on the voltage breakdown feature and provides an overview of the network voltage stability so that it can show the effect of DG installation location on network voltage stability. DG provides loads at different levels, then by selecting the appropriate bus from the most important buses in terms of index, the optimal size of DG is determined using a search algorithm and based on the lowest active power losses for different load levels. The proposed method on IEEE 33 bus network has been tested using MATLAB software, and its results have been compared with other available methods. The results show the effectiveness of the proposed method in reducing active power losses and improving the voltage profile compared to other available methods.

Inverter design at photovoltaic for distributed generation networks

The photovoltaic generator is a renewable energy generator and this generator can be used as a DG because it is an environmentally friendly generator and can be stored close to the load because it does not cause pollution to consumers who are near the plant. Photovoltaic generator requires an inverter to convert the voltage generated by PV (DC voltage) to the voltage needed by the grid (AC voltage). In this study, the data obtained is the planning of DG installation in Karimunjawa. However, there is no harmonics calculation in the network. So that requires the design of an inverter in order to analyses the harmonic generated and the effect of harmonics on the grid. Not only inverters, this generator also needs a boost converter because the voltage generated by PV is insufficient to convert into a 400 Volt AC voltage. The inverter will use the PWM technique which will convert the DC voltage to AC and use an LC filter to refine and reduce the harmonic generated by the inverter. Simulation in this research is to found value of the component in LC filter and Boost Converter. After that the circuit will connect to the grid for analysis harmonic on the load.

Reducing LMP and resolving the congestion of the lines based on placement and optimal size of DG in the power network using the GA-GSF algorithm

One of the important factors in the discussion of power transmission is filling the capacity of network lines, which limits the transmission of power and increases the locational marginal price (LMP) in the network. Today, one of the techniques for resolving congestion and reducing LMP is to install DG units in the network, taking into account two factors: place and optimal size of DG based on operating costs and network constraints, all of which depend on the awareness of the capacity of network lines. In this article, in the first step, using the GA-GSF algorithm, identifying the network's weaknesses such as the lines that have reached their maximum capacity, and then by considering three terms and two scenarios condition of the buses connected to the filled lines will be discussed and we review and extract the best places for installing DG on the network. Then, considering the cost of operating DG and applying it to the objective function of the problem, by positively denoting DG profit and reducing line congestion, the optimization problem is solved by GA-GSF algorithm, and finally, the algorithm output including place and optimal size of DG unit in the network is minimized by line congestion and LMP, and DG installation is economically justified. Finally, the proposed algorithm was tested on the IEEE 14-BUS network for seven different DG types, and the results were such that out of these seven DGs, three DGs were able to reduce the total capacity of the network lines to less than the full capacity of the lines and the price of LMP has been raised to the price of UMP, and the other four DGs have managed to lower the price of LMP compared to their cost function.

Analysis of the impact of distributed generation injection to stability of 20 kV distribution network system

This study took a case study at PT. PLN (Persero) APJ Area Bandung with the subject raised is the installation of Distribution Generators on the distribution line of 20 kV. The purpose of this study was to determine the effect of generator installation Distribution of stability on a system of 20 kV distribution with load conditions is considered balanced. The reason for conducting this research is to find out how far DG can maintain stability on each bus. The method used in this study is to compare the results of the simulation of power flow and short circuit interference using ETAP Power System software. The results obtained from the power flow simulation before installation DG voltage drop at the end of the line. While the three phase short circuit fault current before the DG installation at the beginning of the line is x. After installation of DG with an injection of 50% power DG obtained a voltage drop at the end of the line of y and a fault current at the beginning of the line of z. While the injection of 90% of the power obtained by the voltage drop at the end of the line is v and the fault current at the beginning of the line is w. The results of the study show that with the injection of DG can increase the voltage profile on the line. Likewise, the interference current has increased, but it can be overcome by placing the location of the DG from the fault site.

Optimal Location of Distributed Generation Sources and Capacitance of Distribution Network to Reduce Losses, Improve Voltage Profile, and Minimizing the Costs Using Genetic and Harmonic Search Algorithm

Reducing losses and improving the voltage profile have been the main objectives of electrical power system designers. One of the suggested solutions for achieving these goals is the use of parallel capacitors and distributed generation sources in distribution systems. A location that is optimized for DG installation may not be the best place to minimize losses in improving the system voltage profile. In this paper, determining the optimal location of the dispersed generation unit and the capacitive bank with the goal of optimizing a target function, including losses, improving the voltage profile, and the cost of investment in capacitors and dispersed production. In this paper, IEEE standard 33 buses is considered for simulation, and the results are obtained by using genetic and harmonic search algorithm indicate that DG optimization and capacitor with a target function in which the loss reduction and improvement of the voltage profile is considered to reduce costs, reduce losses, and improve the voltage profile, which are remarkable improvements.

Effect of distributed generation installation on power loss using genetic algorithm method

Injection of the generator distributed in the distribution network can affect the power system significantly. The effect that occurs depends on the allocation of DG on each part of the distribution network. Implementation of this approach has been made to the IEEE 30 bus standard and shows the optimum location and size of the DG which shows a decrease in power losses in the system. This paper aims to show the impact of distributed generation on the distribution system losses. The main purpose of installing DG on a distribution system is to reduce power losses on the power system.Some problems in power systems that can be solved with the installation of DG, one of which will be explored in the use of DG in this study is to reduce the power loss in the transmission line. Simulation results from case studies on the IEEE 30 bus standard system show that the system power loss decreased from 5.7781 MW to 1,5757 MW or just 27,27%. The simulated DG is injected to the bus with the lowest voltage drop on the bus number 8.

DG Installation in Distribution System for Minimum Loss

DG Installation in Distribution System for Minimum Loss

A Measurement Method to Solve a Problem of Using DG Interfacing Converters for Selective Load Harmonic Filtering

Flexible control of interfacing converter has been utilized to compensate the harmonics from nonlinear loads in a power distribution system. However, the site selection of a DG unit is mainly determined by the location of renewable energy resources that might be far away from the nonlinear load. This can degrade the performance of conventional nonlinear load current measurement methods using current transformers and shielded twisted-pair wires, and accordingly, make the harmonic compensation less effective. To solve this issue, the fundamental components of the PCC voltage and the DG installation point voltage are utilized to establish links between the DG unit controller and the power quality (PQ) meter for PCC nonlinear load monitoring. With this method, the harmonic current waveform can be accurately sent from the PQ meter to the DG unit controller with a very low bandwidth communication system, and it is not required to have any clock synchronization at the sending and the receiving ends of the communication system. Simulated and experimental results are provided to verify the correctness of the proposed measurement method.

Optimal DG Placement with the Aim of Profits Maximization

<p>Using distributed generation power plants is common due to advantages such as system capacity release, voltage support and reduced energy losses in power networks. Prior to the creation of distributed generation plants (DG), economic calculation is needed in order to find the optimum location. In this study, IEEE 57 bus test system is evaluated using two index of LMP and CP. Then, the optimal location of distributed generation plants is studied in experimental network. Finally, the effects of DG correct location on buses LMP after DG installation is studied.</p>

Reconfiguration with Simultaneous DG installation to Improve the Voltage Profile in Distribution Network using Harmony Search Algorithm

Reconfiguration with Simultaneous DG installation to Improve the Voltage Profile in Distribution Network using Harmony Search Algorithm

Clustering Technique for DG Planning Considering Load Models

This paper presents the clustering technique for distributed generation planning considering load models. The study concerns on the effect of different load model prior to the DG installation for single objective implementation in loss minimization scheme. The clustering technique is performed in order to identify the DG placement for DG planning. Results from the study could be beneficial for the energy commission and utility to perform the DG installation as a compensating technique. The proposed technique was tested on 69-Bus Distribution System.