2017
6
1
1
0
Loss Reduction in a Probabilistic Approach for Optimal Planning of Renewable Resources
2
2
Clean and sustainable renewable energy technology is going to take responsibility of energy supply in electrical power systems. Using renewable sources improve the environment and reduce dependence on oil and other fossil fuels. In distribution power system, utilizing of wind and solar DGs comprises some advantages; consist of loss and emission reduction, and also improvement of voltage profile. So, in expansion planning of distributed generations, improvement of each of these parameters can be the objective of planner. In this paper, a mathematical model for sizing and placement of wind and solar DGs is proposed. The formulation is based on a probabilistic loadgeneration model. The stochastic nature of the wind and solar resources are considered in the proposed scenariobased model. This mathematical framework is used to minimize total annual loss as an objective function. All the network constraints in different operational conditions are regarded. The model is applied on a typical rural distribution network using GAMS software which illustrated the effectiveness of the model.
1

1
6


Seyed Amir Hossein
Bahreyni
Iran University of Science and Technology
Iran University of Science and Technology
Iran
bahreyni@iust.ac.ir


HeydarAli
Shayanfar
Iran University of Science and Technology
Iran University of Science and Technology
Iran
hashayanfar@gmail.com
sustainable resources
wind and solar DGs
Loss reduction
uncertainty
Flexible Scheduling of Active Distribution Networks for Market Participation with Considering DGs Availability
2
2
The availability of sufficient and economic online capacity to support the network while encountering disturbances and failures leading to supply and demand imbalance has a crucial role in today distribution networks with high share of Distributed Energy Resources (DERs), especially Renewable Energy Resources (RESs). This paper proposes a twostage decision making framework for the Distribution Management System (DMS) to flexibly optimize the dayahead schedule of DERs and market participation of distribution networks under uncertainties, imposed by DGs outage and wind generators. The uncertainties are modeled via scenarios and convolved with each other, and then the joint scenario set is applied in the proposed twostage programming model. Also the role of network constraints on DMS decisions are seen via a linearized AC power flow model and finally the resulted proposed framework is based on mixedintegerlinear programming (MILP) layout solved by CPLEX 12.6. To examine the effectiveness of the proposed framework, it is used for decision making of DERs scheduling and market participation strategy of a test distribution network.
1

7
13


Milad
Hoseinpour
Department of Electrical & Computer Engineering, Tarbiat Modares University,Tehran,Iran
Department of Electrical & Computer
Iran
m.hoseinpour@modares.ac.ir


M.R
Haghifam
Professor, Electrical & Computer Dep., Tarbiat Modarres University, Tehran, IRAN
Professor, Electrical & Computer
Iran
haghifam@modares.ac.ir
Dayahead scheduling
Twostage programming
Unit availability
DERs
Distribution networks
Operation
Flexibility
Load Sharing Control of Parallel Inverters with Uncertainty in the Output Filter Impedances for Islanding Operation of AC MicroGrid
2
2
Parallel connection of inverter modules is a solution to increase reliability, efficiency and redundancy of inverters in MicroGrid system. Proper load sharing among parallel inverters is a key point. The circulating current among the inverters can greatly reduce the efficiency or even cause instability of the system. In this paper, a control strategy for improving the load sharing performance in order to reduce the circulating current among parallel inverters in islanding microgrid is proposed. The control strategy includes an estimator for filter parameters, which compensates for any possible uncertainty or drift of their value. Also a double loop feedback control, with an outer voltage and inner current control, is adopted that provides excellent operation at transient and steadystate conditions. Finally, the proposed control and estimation algorithms are confirmed through simulations of two 2kW parallel connected single phase inverters.
1

15
20


Pourya
Sarvghadi
Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Faculty of Engineering, Ferdowsi University
Iran
pourya.sarvghadi@mail.um.ac.ir


Mohammad
Monfared
Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Faculty of Engineering, Ferdowsi University
Iran
m.monfared@um.ac.ir
Parallel inverters
Load sharing
Circulating current
Predictive control
FuzzyDecisionMaking Predictive Power Control Approach to OnGrid Photovoltaic Panel
2
2
In this paper, a voltagecurrent mode controller is proposed to adjust both the input current and DC voltage of a boostinverter in order to improve the performance of the photovoltaic (PV). The proposed system is based on fuzzymakingdecision predictive voltagecurrent controller (FPVCC). The simulation results show that in case of using the proposed FPVCC, the input current of a PV array is in the limited value (i.e., is approximate 27% of the shortcircuit current of a PV panel) compared with a classical voltage controller, an overcurrent is passing through PV array (i.e., is about 155% of the shortcircuit current). Also, the waveform of the output voltage is sinusoidal with low total harmonic distortion (THD), i.e. 4.21%, and the power obtained from a PV array with FPVCC is approximately 6 times of power obtained without a controller.
1

21
26


Ali Jafer
Mahdi
Electrical Engineering Department ,University of Kerbala, Kerbala,Iraq
Electrical Engineering Department ,University
Iran
ali.j.mahdi@uokerbala.edu.iq


Majid
Aryanezhad
Electrical Power Engineering Department, Shahid Chamran university of Ahvaz ,Ahvaz, Iran
Electrical Power Engineering Department,
Iran
m.aryanezhad@ieee.org
PV
Fuzzy making decision
Predictive power control
A Hybrid Control Method for Stable Operation of Active Power Filters in ThreePhase FourWire Networks
2
2
The main goal of this study is the use of Lyapunovâ€™s stability theory to a threephase fourwire shunt active power filter (SAPF), since this method has been applied effectively to other areas of converter. The dynamic model of the SAPF is first established, after that, a combination of fuzzy tracking control and Lyapunov function is suggested in order to impose a desired transient waveform on the considered threephase fourwire distribution grid, providing robustness and insensitivity to parameter changes. Furthermore, the suggested control technique guarantees appropriate tracking of the reference current components and simplifies the global control design. The feasibility of the suggested control method is validated using comprehensive simulation studies on a fourwire SAPF in order to compensate for nonlinear and unbalanced gridconnected loads in an electrical power distribution network.
1

27
33


S. Sajjad
Seyedalipour
Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Faculty of Electrical Engineering, K. N.
Iran
sseyedalipour@gmail.com


Habib Allah
Aalami
Department of Electrical Engineering, Eyvanekey University, Tehran, Iran
Department of Electrical Engineering, Eyvanekey
Iran
h.aalami41@eyc.ac.ir


Amin
Barzegar
Department of Electrical Engineering, Imam Hossein University, Tehran, Iran
Department of Electrical Engineering, Imam
Iran
abarzegar@ihu.ac.ir
Shunt active power filter (SAPF)
Lyapunov function
fuzzy tracking control
threephase fourwire distribution grid
Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm
2
2
Generally the generation units in the traditional structure of the electricity industry try to minimize their costs. However, in a deregulated environment, generation units are looking to maximize their profits in a competitive power market. Optimum generation planning in such structure is urgent. This paper presents a new method of solving economic dispatch in the competitive electricity market with the aim of maximizing the total contribution profit of power generation. In this regard, with a combination of two intelligent optimizations, a new efficient algorithm which called improved particle swarm optimization algorithm is suggested. The simulation of the new approach and conventional PSO algorithm were performed on two case study systems, 10units and 15units. According to the results, the suggested method not only resolves the convergence problem, but it also makes more efficient response.
1

35
41


Hossein
Lotfi
Department of Electrical Engineering, Islamic Azad University, Neyshabour, Iran
Department of Electrical Engineering, Islamic
Iran
hossein_lotfi95@yahoo.com


Ali
Dadpour
Department of Electrical Engineering, Islamic Azad University, Bojnourd, Iran
Department of Electrical Engineering, Islamic
Iran
a.dadpour105@yahoo.com


Mahdi
Samadi
Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran
Department of Electrical Engineering, Hakim
Iran
ma.samadi@hsu.ac.ir
Improved particle swarm optimization
Restructuring
Competitive Power Market
Economic Dispatch Planning
Generation Planning