جستجوی مقالات مرتبط با کلیدواژه « exchange market algorithm » در نشریات گروه « برق »

In this paper, the design of damping supplementary controller in VSC HVDC transmission systems, which is the interface of Offshore Wind Power Plant (OWPP) with the main power system, is studied. First, it is shown that the speed-power curve in a wind turbine affects the damping of oscillation and electromechanical modes of the power system, and depending on the operating conditions of the turbine, the extent of this effect varies. Then, to improve the dynamic stability of the power system, the use of an optimized supplementary controller in the VSC HVDC system will be proposed. The proposed controller is added as an additional loop to the converter control circuits in VSC HVDC and will amplify the damping torque in the generators by correcting the damping coefficient of the system oscillation modes. In addition, a solution is provided to use the supplementary controller in the most optimal path, so that the most controllability on the oscillation modes and the least interference with other channels between the input-output signals are provided. To design the proposed controller, a fractional order PID controller will be used whose coefficients are adjusted through an optimized exchange market algorithm. The optimization of the algorithm is done by using mutation and crossover operators in the genetic algorithm with the aim of avoiding bats being trapped at local extremum. The simulation results show that the method proposed in this paper not only improves the dynamic stability of the power system but also strengthens the voltage profile.

The complexity of engineering problems and the existence of various constraints on these issues, encourage the researchers to use of innovative methods based on a heuristic algorithm to find the optimal solution for practical problems at a cost-effective time and non-consistency tolerance. A distinction has been made between various issues and, therefore, extensive research has been done to improve heuristic algorithms in order to enhance their ability to solve engineering and practical problems. In this paper, due to the ability to global search some of the metaheuristic search patterns (such as the EMA algorithm) and the ability to local search for some meta-heuristic search patterns (such as the FPA algorithm), a novel combination method is proposed to use the ability of both types of algorithms. Then, using the proposed method, a hybrid search pattern with new abilities is presented, whose abilities are proven on standard benchmark testing functions as well as solving engineering problems.

Since distribution networks incorporate a large share of the losses in power systems, reducing losses in these networks is one of the most important issues of global networks, including issues that have always been taken into consideration. There are several ways to reduce losses in distribution networks, one of which is the installation of distributed generation units. Renewable sources can supply a clean and smart solution to the increased demands. Thus, Photovoltaic (PV) and Wind Turbine (WT) are taken here as resources of Distributed Generation (DG). Location and sizing of distributed generation have affected largely on the system losses. In this article, Exchange Market Optimization Algorithm (EMA) is proposed for optimal location and sizing of DG based renewable sources for the 69 buses distribution system. The exchange market algorithm on IEEE radial distribution system is simulated and studied using Matlab software and the results of the exchange market algorithm are compared with other algorithms. The results show the effectiveness of the exchange market algorithm in finding the optimal location and sizing of DG to reduce losses and improve the voltage profile.