|
|
|
 |
Search published articles |
 |
|
Showing 5 results for Optimal Placement
Mr. Milad Kefayat, Dr. Afshin Lashkar Ara, Mr. S.a. Nabavi Niaki,
Volume 1, Issue 3 (3-2013)
Abstract
The Renewable Energy reasons to economical issues, environmental and rising demand of energy consumption are expanding the day to day. Due to capabilities-aligned decentralized this equipment, Placement program and sizing its, important problem of power system operation. In this paper, a combined approach is presented for optimal placement and sizing recent technology developments of photovoltaic units, DFIG based wind turbine and fuel cell units, only these generators are considered. This work presents a multi objective optimization algorithm for the sitting and sizing of renewable electricity generators. The objectives consist of minimization of costs, active and reactive losses of distributed system. Optimal Placement and sizing of the equipment is carried out by using Particle Swarm Optimization algorithm continuously. Fuzzy logic is used in order to compare the composition of active and reactive losses in optimization. In this paper, softwares DIgSILENT/MatLab , which has bilateral information relation, is also used for the simulations. The studies are executed on a typical IEEE 33 bus test system. The results show that the proposed algorithm can improve performance & efficiency of system.
Dr. Afshin Lashkar Ara, Eng. Pantea Avazpour,
Volume 2, Issue 1 (6-2013)
Abstract
Abstract:
In this paper a new placement methodfor optimal unified power flow controller in power systemsby using genetic algorithmis introduced. The considered cost–based optimal power flow (OPF) in power systems is appliedto decrease the costs of operation. Optimal placement of OUPFCs is formulatedin multi–objective functions by applying OUPFC's power injection model. The proposed method is utilized in 30–bus IEEE network. Simulation results show considerable mitigation on total cost of power system.
Mostafa Khajavi, Dr. Saied Mortazavi,
Volume 2, Issue 1 (6-2013)
Abstract
Abstract:
Phasor Measurement Units (PMUs) using Global Positioning System (GPS) have created a great change in operation of power systems. By utilizing PMUs, the state estimation, reliability and stability in power system are expected to be improved. Optimal placement of phasor measurement units in this article to complete Visibility Power Khuzestan along with the feasibility wireless power transmission network using GIS geographic information system (GIS) was used. In this paper, objective function based on integer linear programming (ILP) to determine the optimal number and location PMU is presented. The algorithm also uses GIS PMU optimum location for the main and auxiliary wireless communication towers and the number of transmitter / receiver set screw. Simulation results show that the electric power transmission network can be Khuzestan PMU 19 and 53 number system monitoring and control communications tower.
, , ,
Volume 4, Issue 2 (3-2016)
Abstract
The use of distributed generation resources is an effective way for responding to load growth and providing a certain level of reliability. Solar power plants are of widely used distributed generation systems. Due to the particular importance of logging out a system of operating mode, which can interrupt a large number of customers served, different reliability indices are considered. Installing solar power plants in a distribution network affects voltage at different points. Therefore, placement and amount of power injected by solar cells into busbars should be determined so that to have maximum impact on the distribution system in terms of improving voltage quality and enhancing reliability. The present study aimed to find a suitable place for a solar plant, resulting in reduced system losses and enhanced reliability indices, using multi-objective particle swarm optimization algorithm. The proposed method is implemented using the MATLAB software on the Billington system (RBTS).
The results show that solar power plants can have positive effects, such as improving reliability and improving the voltage quality on distribution networks, depending on the specifications, technology and location of the network connection
, ,
Volume 5, Issue 1 (9-2016)
Abstract
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.
|
|
