Majlesi Journal of Energy Management
Volume:9 Issue: 1, Mar 2020

Currently,with an increasing in the size of electrical powernetworks and the appearance of unwanted interconnections,these systems are becoming more difficult to manage and control. However, since the appearanceof new technology FACTS, these systems are becoming very flexible and controllable, offeringa better possibilities for a robust and efficient expansion of power networks by itscapability to control various electrical parameters in the transmission lines. Indeed, the FACTS devicescould increase system capacity and decrease total power losses. This paper describes a new approach to minimize electrical power losses of large electrical systems. The idea, withinstalling FACTS devices in their optimal locations,is to analyze and improve a transmitted electric power with low losses and minimum coast by using Genetic Algorithm as an optimization technique. Moreover, investigating best parameters of each device is taken into account in this work

Today, the use of BLDC motors in the industry has become widespread due to prominent features such as high speed control of high efficiency and much more. In order to achieve fast torque response, direct torque control can be used for BLDC motors. Also, the four-phase three-phase inverters are one of the suggested schemes proposed for feeding three-phase loads. But in the methods used by this type of inverter in the energy converter section for the DTC method, the torque and torque rpm are high due to hysteresis controllers and the number of vector controls and control areas. One of the solutions to these problems is the use of more areas to control the flux and torque of the BLDC engines. The purpose of this paper is to provide a suitable switching table for this type of inverter by increasing the number of areas. In addition, we use the position estimator in the DTC method to remove Hall effect sensors. Simulation results show good performance of this proposed scheme.

The purpose of this article is to improve the performance of the heat exchanger. Improving theperformance of the heat exchanger will ultimately improve the performance of the solar water heater. Wedesign feedbacks andoptimal temperature control feedback. Heater Exchanger temperature control improves the solar water heater operation. Four methods of temperature control are used, the most desirable according to the obtained simulations, feedback method and feed forward. By changing the Gain (Kc) in the Proportional-Integral (PI) controller, we reach the desired temperature. In this paper, programming in Matlab, Simulink environment and Graphical User Interface (GUI) is used to clarify the results are used to better display the results

In a typical offshore support vessel, a number of diesel generators are installed to supply itselectrical demand. Specific fuel consumption (SFC) of a diesel unit changes nonlinearly with respect to its power generation. Hence, this paper presents an economic fuel dispatch strategy for multi-diesel units operated in offshore support vessels using the cubic spline interpolation curve fittings of the SFC-power nonlinear relations. A mixed-integer nonlinear programming problem is coded under generalized algebraic mathematical modeling system (GAMS) and solved using branch-and-reduce optimization navigator tool to minimize the hour-ahead specific fuel consumption of the diesel-electric propulsion system. The upper and lower bounds of the power generation within each non-linear operating interval as well as the load-generation balance constraint are involved in simulations. The hourly power generation and the specific fuel consumption of each diesel generator are selected as positive decision variables. Equal and unequal power generation capacities are considered for four and six diesel units in two case studies. Numerical results demonstrated that GAMS is able to find better and more effective solutions than genetic algorithm and particle swarm optimization method in lower calculation time and less computational burden.

The present paper proposes a novel search algorithmto optimal placement of UPFC by modification ofgravity search algorithm (GSA). In this regard, effect of transient stability margin and voltage stability margin are takenin to account which isneglected in previous studies. Also, three constrain limitation such as power loss, fuel costand UPFC cost is considered during the optimization.Hence, the GSA is modified by proposed method (PM) which is named planet search algorithm (PSA) to improve Accuracy and Speed of GSA algorithm. In order to validate the performance of proposed method, comprehensive case studyhasbeen conducted on IEEE26-bus test system and Simulation resultsis compared with Primary GSA, PSO algorithm and genetic algorithm. Thecomparison results illustrate ability of the proposed method to fast and accurate placement of UPFC.

In this paper, exploitation of power grid with renewable resources and power storage has been investigated. In this regard, the effect of the uncertainty of load and market price in combination with the time schedule used to optimize the participation of the production and storage units of the grid is studied. It's important to use proper tariffs in the timeline. Thus, using the Moor's coefficient and pricing in three low-load, inter-freight and high-yielding times, the application improved time, in addition to improving the load curve, the customer's satisfaction also follows. Also, to better illustrate the impact of using this program, the operation of the grid is investigated in two modes connected to the network and apart from it. The main purpose of my reserchis to adjust the load curve and determine an optimal program for the manufacturing and preserving units in order to meet the needs of the subscribers, with the highest profit, the lowest cost and the least critical load.The monte carlomethod was used to model the random process of the problem.Then using the scenario reduction techniques , the problem is solved in the form of a tow-stage randomized optimization problem using the GAMS software.Theresults of simulation suggest the parcticablemethod for improving the load curve, reducing peak load andoperating costs, bewaring dead load, and thus reliability of the system isincrement.