Mashhad Electrical Energy Distribution Company MEEDC

Mashhad, Iran

Mashhad Electrical Energy Distribution Company MEEDC

Mashhad, Iran
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Shahraeini M.,Ferdowsi University of Mashhad | Shahraeini M.,Mashhad Electrical Energy Distribution Company MEEDC | Javidi M.H.,Ferdowsi University of Mashhad | Ghazizadeh M.S.,Power and Water University of Technology, Tehran
2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010 | Year: 2010

Smart Grid denotes the integration of all elements connected to a power grid with a communication infrastructure. Recent communication systems are developed by multi layer architecture. The lowest layer in such systems is transmission media. The characteristics of the communication systems will be seriously influenced by the characteristics of its media. This paper classifies communication media of power systems as dependent or independent ones. A dependent media is part of power system which is normally owned by Independent System Operator (ISO) or distribution companies. In contrast, as an independent media, it is not normally part of power system and can be public or provided by data service providers. In this paper, first, a brief summary of popular media used in power systems is presented. Then, the two main classes of media are compared with each other. ©2010 IEEE.


Yaghmaee M.H.,Mashhad Electrical Energy Distribution Company MEEDC | Barabadi B.,Mashhad Electrical Energy Distribution Company MEEDC | Alishahi S.,Mashhad Electrical Energy Distribution Company MEEDC | Zabihi M.,Mashhad Electrical Energy Distribution Company MEEDC
21st Electrical Power Distribution Network Conference, EPDC 2016 | Year: 2016

The demand for more electricity is growing with the increasing trend in using more electrical devices. Therefore besides allocating more sources of energy to generate electricity, many utility companies try hard to make sure that they can manage the demand for more electricity by the adaptation of well-established demand response program. Demand response programs bring proved benefit to grid operation and yields market efficiency by incorporating customers' decision. In this paper, we propose an incentive cloud-based demand response program utilizing game theory in customers' side. In contrast to other methods which include a bargaining process between utility and customers, the proposed model uses resource allocation to offer a fair incentive price to each user. In this manner, we encourage users to take part in incentive-based demand response program. The utility will also profit from this process by allocating price individually to each user. Numerical results confirm that the proposed work is successful to achieve its goals. © 2016 IEEE.


Sharifian H.,Mashhad Electrical Energy Distribution Company MEEDC | Baghishani V.,Mashhad Electrical Energy Distribution Company MEEDC | Zabihi M.,Mashhad Electrical Energy Distribution Company MEEDC
INTELEC, International Telecommunications Energy Conference (Proceedings) | Year: 2016

Smart grid encompasses a variety of tools, techniques and technologies that will allow energy suppliers to more accurately measure electricity flows and remotely control each point of the transmission and distribution network using two way digital technology. In this paper, determine the optimal level of automation in distribution networks with local remote control switches and VIT switches automation are probed. Also, the comparison of improving reliability indices are presented in 3 automation level, without supervisory control and data acquisition (SCADA), whit only SCADA and SCADA with VIT switches automation. © 2015 IEEE.


Najafinia M.,Mashhad Electrical Energy Distribution Company MEEDC | Ghasempour M.,Mashhad Electrical Energy Distribution Company MEEDC | Pourarab M.H.,Mashhad Electrical Energy Distribution Company MEEDC
IET Conference Publications | Year: 2013

This paper specifies the functional reference architecture, the functional elements and the interfaces of a pilot project of implementing smart meters in a 20 kV distribution feeder called Shemshad. It also covers aspects of implementing advanced metering infrastructure in the pilot area.


Ghorbanpanah H.,Mashhad Electrical Energy Distribution co. MEEDC | Yaghmaee Moghaddam M.H.,Mashhad Electrical Energy Distribution co. MEEDC | Saeedi A.,Mashhad Electrical Energy Distribution co. MEEDC | Alishahi S.,Mashhad Electrical Energy Distribution co. MEEDC
IET Conference Publications | Year: 2013

This paper describes an application of Wireless Sensor Network in monitoring and controlling of energy in residential and commercial buildings. In this project, we design four different electronic Nodes including Sensor Node, Socket Node, Digital Power Meter Interface and Coordinator Node. In the application layer, user friendly software is designed to control and monitor all nodes in the wireless network through GPRS or LAN with using C# programming language. Each user can remotely connect to this network and control each input and output of nodes and in the automatic mode, all nodes can control electrical device without management from the coordinator node side. In this paper we have discussed various aspects of this project.


Khazaee A.,Mashhad Electrical Energy Distribution Company MEEDC | Ghasempour M.,Mashhad Electrical Energy Distribution Company MEEDC
IET Conference Publications | Year: 2013

Power system faces a big problem of distribution losses. In this paper an attempt is made to reduce the distribution losses in a commercial section in Mashhad. The first step in power loss minimization procedure is loss calculation which is a common tool to optimize the design, operation and planning of the electrical network. In this paper calculation and analysis of distribution losses is fulfilled in a commercial section in Mashhad. Two methods are introduced, utilized and compared for power loss calculations: "Field measurement" and "Simulation study". Afterward some techniques are utilized to minimize technical and non-technical power loss of the studied section. Technical loss is minimized by complete removal of low voltage network and non-technical loss is minimized by Implementation of AMI system. Finally the results of power loss reduction indicate proper planning of this project.


Alishahi M.,Mashhad Electrical Energy Distribution Company MEEDC | Hossein Yaghmaee M.,Mashhad Electrical Energy Distribution Company MEEDC | Zabihi M.,Mashhad Electrical Energy Distribution Company MEEDC | Shadaloo Khorasani S.,Mashhad Electrical Energy Distribution Company MEEDC
IET Conference Publications | Year: 2013

Nowadays, the increasing demands and inadequate technology in electricity industry lead us to make it smart. To achieve this goal, the quality of service is very important for critical applications like teleprotection. Since the allowed delay for these kinds of applications are about milliseconds, having latency in packet delivery will cause serious damages. In this paper, we try to identify the verity of IP-based applications in Mashhad Electric Energy Distribution Company (MEEDC) and prioritize thembased on their importance and traffic features such as allowed delay, arrival rate and packet size. After that we want to find an appropriate aggregation point for their traffics to analyse the input queue of the routers. By doing this we will be able to calculate the minimum required bandwidth for the egress link and according to the available communication network we can make decision whether the egress link is adequate or not. If not we can guarantee the QoS for critical applications.


Yaghmaee M.H.,Mashhad Electrical Energy Distribution Company MEEDC | Yousefi Z.,Mashhad Electrical Energy Distribution Company MEEDC | Zabihi M.,Mashhad Electrical Energy Distribution Company MEEDC | Alishahi S.,Mashhad Electrical Energy Distribution Company MEEDC
IET Conference Publications | Year: 2013

A fundamental requirement for smart grid is the design of a reliable and high performance communication infrastructure. The lack of timely access to information within domains of the smart grid serves as a real limit to detect and effectively react to system instability. Therefore, the delays are an important aspect and should be considered into any power system design or analysis. In this paper, we propose an IP/MPLS based communication infrastructure and optical fiber for the communication medium in the backbone network. In addition, in order to achieve the quality of service required for smart grid applications, traffic flows are classification into four classes using prioritize traffic and appropriate assignment of code point. Then, by using the Traffic Engineering with Diffserv (DS-TE) and active queue management algorithms as well as RIO, the quality of service is guaranteed in an acceptable level.


Yaghmaee M.H.,Mashhad Electrical Energy Distribution Company MEEDC | Minoochehr R.,Mashhad Electrical Energy Distribution Company MEEDC | Saeedi A.,Mashhad Electrical Energy Distribution Company MEEDC
IET Conference Publications | Year: 2013

There is a pressing need to accelerate the development of low-carbon energy technologies in order to address the global challenges of energy safety, climate changes and economic growth. Smart grids are particularly important as they enable several other low-carbon energy technologies, including electric vehicles, variable renewable energy sources and demand response. This paper describes an optimization model to adjust the hourly load level of a given consumer in response to hourly electricity prices with consideration of renewable energy resources and energy storage. The objective of the model is to minimize the energy cost of the consumer. Price uncertainty and uncertainties in making prediction about solar PV and wind power generation are modeled through robust optimization techniques. The model materializes into a simple linear programming algorithm that can be easily integrated in the Energy Management System of a household or a small business. A simple bidirectional communication device between the power supplier and the consumer enables the implementation of the proposed model. Simulations results confirm the performance of the proposed model.

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