Sasongko Pramono Hadi

Flower pollination algorithm for optimal control in multi-machine system with GUPFC

This paper proposes flower pollination method implemented in multi-machine system with generalized unified power flow controller (GUPFC). Flower pollination method was used to provide parameters of two stage lead-lag controller. The controller provides supplementary signals for PSS and POD. The study was carried out to determine the stability of the multimachine power system without and with GUPFC. The results show that the addition of GUPFC optimized by proposed method is able to decrease the initial value of oscillations, overshoot, and settling time that happened. In addition, systems eigenvalues shifted toward the left half plane of complex coordinate.

Modeling of the generalized unified power flow controller for optimal power flow

The latest generation of FACTS devices, the convertible static compensator (CSC) [1], is the progress of several innovative operating concepts in the historic development and application FACTS. One of the concepts is the GUPFC or multi-line UPFC have been done, which can control bus voltage and power flows of more than one line or according to even a sub-network. The GUPFC should have stronger control capability than the UPFC. In this paper it derived to pile up a novel concept of a mathematical model for the GUPFC consisting of one shunt converter and two or more series converters based on voltage source converter (VSCs) and DC link capacitor is developed and implemented in the nonlinear predictor-corrector primal-dual interior-point OPF algorithm. Numerical results with various GUPFC devices based on the IEEE 30 bus power system demonstrate the feasibility as well as the effectiveness of the GUPFC model established in the OPF method.

Inertial Measurement Unit using multigain accelerometer sensor and gyroscope sensor

The employment of Inertial Measurement Unit (IMU) to measure the acceleration and angular rate in three axes is an important part of the navigation control system. The motion of an object (e.g. a rocket) has very wide range of acceleration at the forward axis. To obtain optimum sensitivities of all sensors, multigain accelerometer sensors should be looked into. For this a three axes accelerometer sensor (MMA7260Q) and three angular rate sensor (ADXRS150) on the three axes.

Optimal configuration of PV-Wind turbine-grid-battery in low potency energy resources

As an increasing of load demand, scarcity of fossil fuel and green house effect, utilization of renewable energy resources such as solar and wind energy are done seriously. The problem rises when potency of them is far smaller than load demand and the high difference between wind velocity profile and solar radiant intensity and load profile is happened. Its make excess electricity to be higher so the electrical production cost to be higher too. The purpose of this research is designing optimal configuration of microgrid PV-Wind turbine-Grid-Battery through optimization of load capacity to reduce excess electricity. Some parameters of optimal configuration are used to evaluate them, namely electrical production cost, reliability, CO2 coming from life cycle assessment, area of installation and unemployment reduction. Software HOMER version 2.68 Beta from NREL is used to simulate alternative configuration of microgrid. The results show that distribution total load into some sub-microgrids gives the positive impact, namely smaller electrical production cost, higher reliability, minimum CO2, relative smaller area of installation and unemployment reduction.

Optimal capacity and placement of distributed generation using metaheuristic optimization algorithm to reduce power losses in Bantul distribution system, Yogyakarta

Distributed generation (DG) is a distributed generator that employs on the distribution system. The aims of DG in distribution system are to improve the voltage profile, to increase spare capacity, and to reduce the power losses. DG installation on the distribution system needs consideration of optimal capacity and optimal placement. If DG has placed in incorrect location so it can damage and interference such as voltage flicker, phase disorder to ground, fault current and fault current magnitude. So this would be differ with DG expected. Therefore it needs a right placement and allocation of power capacity (sizing) to optimize DG in which use a metaheuristic optimization algorithm to solve the problem. The metaheuristic optimization algorithm is proposed to use particle swarm optimization (PSO) algorithm for reducing power losses in distribution system and this study used feeder 7 Bantul in substation to coastal areas Samas that is the end of distribution system. The result showed that PSO succeeded to reduce losses.

Design of experiments to parameter setting in a genetic algorithm for optimal power flow with TCSC device

With ever-increasing demand for electricity and complexity of power system, optimal power system operation issue becomes important. Optimal power flow (OPF) with optimal placement and rating of thyristor controlled series capacitor (TCSC) is a solution to determine the economic operating costs and power flow analysis with in constraint stated below. This paper mainly concerned to minimize total cost of generation with location and rating of TCSC are optimized using genetic algorithm-design of experiment (GA-DOE). To validate the proposed method, simulations are performed on IEEE 30 bus system. The simulation results for IEEE-30 bus system, total cost of generation reduced 0,244

The performance of three-phase four-wire grid-connected inverter with enhanced power quality

/hour (0,03%) compared to OPF without TCSC. And active power losses are reduced 0,078 MW (0, 84 %) compared to OPF without TCSC.

Teaching the large synchronous generator dynamic model under unbalanced steady-state operation

This paper presents the performance of grid-connected inverter when installed in three-phase four-wire distribution system. The inverter is utilized as power converter to inject power. Furthermore, this inverter is also utilized as a shunt active power filter to compensate current unbalance, load current harmonics, and load reactive power demand. It is controlled such a way therefore it draws or supplies fundamental active power from and to grid. The control mechanism is carried out by power balance theory using PI controller. The control system consists of DC voltage regulator, phase-locked loop (PLL), and hysteresis current controller. PI controller is used as DC voltage regulator, which regulates DC-link capacitor voltage to be constant. The performance of this controller is demonstrated through simulation. The results of the simulation show the capability of an inverter to inject power to grid. Particularly for nonlinear load, the current harmonics are compensated effectively.

Analysis of ferrite effect in Axial Flux Permanent Magnet Generator using magnetic circuit approach

This paper presents an attractive approach for teaching the large three-phase synchronous generator under unbalanced steady-state condition of the 500 kV EHV Jawa-Madura-Bali (or Jamali) system to which it is connected using Matlabs Graphical User Interface (GUI) capability. Whereas two unbalanced steady-state conditions of the grid are obtained by setting all of IBTs (or inter bus transformers), the Jamalis grid loads, into load imbalance of 5% and 10%. The main motivation for such a study is to develop user-friendly software for better teaching the behavior of the generator which is connected to the grid when unbalanced loads are present. An example is given to demonstrate the usefulness of the developed tool.

Light sensor selection of Wi-MoLS (wireless modern light sensor) based on analytic hierarchy process (AHP)

In this paper, four models of AFPMG (Axial Flux Permanent Magnet Generator) are analyzed and compared to get the best model correspond to highest magnetic flux density that produced by those generators. Before analyzing performance of those models, leakage flux are modeled and analyzed by using magnetic circuit approach to defining the optimal distance of magnet to the magnet on the rotor disk. Therefore, optimal size of AFPMG are determined according to the optimal distance from magnet to magnet. The analysis results show that AFPMG with ferrite core and ferrite ring has the highest value of magnetic flux density. By the addition of ferrite material in AFPMG, it can increase the value of magnetic flux density. On the other hand, it is also can decrease leakage flux value. Analytical results then will be validated using finite-element method (FEM).