Estimation Scheme of 22kV Overhead Lines Power System Using ANN

AbstractDesigning the 22kV overhead lines is necessary to do by engineers with experience and this process is very complicate and takes long time because of it concerned with a lot of standards. Then this paper presents an Artificial Neural Network (ANN) of application in the 22kV overhead line design. It helps to identify the main materials list and amount required for the installation and used in cost estimation of the project. The input data for designing are 1) Rated of transformer 2) Total distance of expanded distribution line 3) Number of right angle point of cable in the system requires no building blocking the expansion line. The outputs of ANN are the main materials list and amount the data used to training ANN are come from Installation Standard of PEA. The satisfactory results tested by PEA engineer were provided with an accurate and short time consuming than conventional method

Green Power Zone

รายงานการวิจัย--มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2553This paper presents the concept, prospect and operation of Green Power Zone (GPZ). The GPZ is defined as part of power grid which provides electrical energy with varying quality depends on customer requirement. Different power quality levels in the premium zone can rang from better than normal utility supply to a supply close to an ideal situation. Electrical energy to the zone is supplied through two feeders from two independent substations. The GPZ center is fully equipped with custom power devices, namely dynamic voltage restorer (DVR) and distribution static compensator (DSTATCOM) or even unified power quality conditioner (UPQC). The GPZ can also contain a distributed generator (DG) to take care the power interruption situations from the utility. The incoming feeders to the zone can be designed with improved grounding, insulation, arresters and reclosing. The simulation results are shown the performance of GPZ by using digital computer simulation program.Rajamangala University of Technology Phra Nakho

Design of an Algorithm for Tracking Symmetrical Component Based on Adaptive Algorithm

รายงานการวิจัย--มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2553Symmetrical components of current and voltage are great importance in many applications in power systems such as power quality and power system protection. This paper presents the new adaptive linear combiner (ADALINE) structure for symmetrical components traction and estimation. This structure is deal with multi-output systems for parameter traction/estimation rather than the existing ADALINE, which deals only with single output system. The new topology, it is called MO-ADALINE is also presented. Finally, the paper presents a new processing unit, which can estimate symmetrical components from the measured current signals. The advantage of this proposed unit is simple to implement. Simulation results are given to validate the proposed algorithms.Rajamangala University of Technology Phra Nakho

Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

This paper proposes the impact of plug-in electric vehicles (PEVs) integrated into a power distribution system based on voltage-dependent control. The gasolinegate situation has many people turning to electric vehicles as a more environmentally friendly option, especially in smart community areas. The advantage of PEVs is modern vehicles that can use several types of fuel cells and batteries as energy sources. The proposed PEVs model was developed as a static load model in power distribution systems under balanced load conditions. The power flow analysis was determined by using certain parameters of the proposed electrical network. The main research objective was to determine the voltage magnitude profiles, the load voltage deviation, and total power losses of the electrical power system by using the new proposed methodology. Furthermore, it investigated the effects of the constant power load, the constant current load, the constant impedance load, and the plug-in electric vehicles load model. The IEEE 33 bus system was selected as the test system. The proposed methodology assigned the balanced load types in a steady state condition and used the new methodology to solve the power flow problem. The simulation results showed that increasing the plug-in electric vehicles load had an impact on the grids when compared with the other four load types. The lowest increased value for the plug-in electric vehicles load had an effect on the load voltage deviation (0.062), the total active power loss (120 kW) and the total reactive power loss (80 kVar), respectively. Therefore, this study verified that the load of PEVs can affect the electrical power system according to the time charging and charger position. Therefore, future work could examine the difference caused when PEVs are attached to the electrical power system by means of the conventional or complex load type

Fluctuation Voltage Control of Wind Turbines via STATCOM

รายงานการวิจัย--มหาวิทยาลัยเทคโนโลยี ราชมงคลพระนคร, 2553This paper presents distributed STATCOM for controlling voltage in distribution line with wind turbines generations at 48 volts. The connection of wind turbine to distribution systems may affect the voltage quality offered to the consumers. One of the factors contributing to this effect is the rapid variations of the wind turbine output power, which cause respective fluctuations in the supply voltage. This paper presents the design, control and analysis of a Distributed STATCOM when combined with a wind turbine comprising small variable speed generators, in this paper it is shown that the distributed STATCOM, controlled via a rotating referent frame: RRF and recursive DFT are simple method to DSP control technique. The result of experiments the STATCOM can improve the transient stability voltage of wind turbine that we have referred the IEEE1159:1995 standard of power quality.Rajamangala University of Technology Phra Nakho

Optimal Battery Energy Storage System Based on VAR Control Strategies Using Particle Swarm Optimization for Power Distribution System

We designed a battery energy storage system (BESS) based on the symmetrical concept where the required control is by the symmetrical technique known as volt/var control. The integration of BESS into the conventional distribution has significantly impacted energy consumption over the past year. Load demand probability was used to investigate optimal sizing and location of BESS in an electrical power system. The open electric power distribution system simulator (OpenDSS) was interfaced with MATLAB m-file scripts and presented by using time series analysis with load demand. The optimal BESS solution was adapted by using a genetic algorithm (GA) optimization technique and particle swarm optimization (PSO). The simulation results showed that the BESS was directly connected to the power grid with GA and PSO, and it was observed that BESS sizing also varied for these two values of 1539 kW and 1000 kW, respectively. The merit of those values is the power figure of the system, which is necessary for installation. Therefore, optimal sizing and location of the BESS are helpful to reduce the impact from the load demand to the total system loss and levelling of the energy demand from the power system network. The integration of the BESS can be applied to improve grid stability and store surplus energy very well. The grid increased the stability of the power system and reduced the impact from the large scale of BESS penetration

Optimal DG sizing and location in modern power grids using PEVs load demand probability

The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has had a major impact upon consumption of energy in the past year. This paper presents optimal distributed generator (DG) sizing and location in the power system using PEVs load demand probability. The MATLAB m-file scripts and OpenDSS were applied to solve the proposed study by varying the percentage penetration level of PEVs. A genetic algorithm optimization technique was used to find the best solution of DG installation. The simulation results showed that the PEVs were directly connected to the power grid with 100 PEVs (13.84%), 200 PEVs (27.68%) and 500 PEVs (69.19%), respectively. It was found that the DG sizing also varied with 1.773 MW, 1.663 MW and 1.996 MW, respectively. While the position of the DG also changes according to the sizing of DG. The position of DG was installed at bus No.738, bus No.741 and bus No.711, respectively. Therefore, the optimal DG placement helped to improve and reduce the total line loss and total energy demand from the power grid. The grid increased the power system stability and reduced the impact from the large scale of PEV penetration

Application of three-level diode-clamped converter on 10kW distribution voltage restorer

This paper presents development distribution voltage restorer (DVR) using three-level diode-clamped converter for create voltage to compensate with switching device is IGBT. Converter controls injection voltage by using voltage regulations, low-pass filter for filter harmonics signal and reduce signal distortion from the DVR. It is considered output voltage waveform of the converter. Simulation results show the effectiveness of the DVR to present. The output voltage waveform of three-level diode-clamped converter has a signal distortion less than output voltage waveform of original twolevel converter. Moreover, three-level diode-clamped converter can also get a higher voltage range as well. The experimental result shows that the proposed DVR has increased the efficiency and also it is able to compensation more than 0.1 second

Optimal Placement of Distributed Photovoltaic Systems and Electric Vehicle Charging Stations Using Metaheuristic Optimization Techniques

In this study, the concept of symmetry is introduced by finding the optimal state of a power system. An electric vehicle type load is present, where the supply stores’ electrical energy causes an imbalance in the system. The optimal conditions are related by adjusting the voltage of the bus location. The key variables are the load voltage deviation (LVD), the variation of the load and the power, and the sizing of the distributed photovoltaic (DPV), which are added to the system for power stability. Here, a method to optimize the fast-charging stations (FCSs) and DPV is presented using an optimization technique comparison. The system tests the distribution line according to the bus grouping in the IEEE 33 bus system. This research presents a hypothesis to solve the problem of the voltage level in the system using metaheuristic algorithms: the cuckoo search algorithm (CSA), genetic algorithm (GA), and simulated annealing algorithm (SAA) are used to determine the optimal position for DPV deployment in the grid with the FCSs. The LVD, computation time, and total power loss for each iteration are compared. The voltage dependence power flow is applied using the backward/forward sweep method (BFS). The LVD is applied to define the objective function of the optimization techniques. The simulation results show that the SAA showed the lowest mean computation time, followed by the GA and the CSA. A possible location of the DPV is bus no. 6 for FCSs with high penetration levels, and the best FCS locations can be found with the GA, with the best percentage of best hit counter on buses no. 2, 3, 13, 14, 28, 15, and 27. Therefore, FCSs can be managed and handled in optimal conditions, and this work supports future FCS expansion