Sujie Shao

Traffic scheduling for wireless meter data collection in smart grid communication network

Due to the advantages of muti-hop communication, self-organizing, self-healing and reliability, wireless muti-hop mesh network becomes an ideal solution for smart grid meter data collection. However, wireless muti-hop meter data collection network faces limitation and challenge on communication performance of network caused by application layer data traffic and the network topology limitation. When a large number of data occur in emergence, some mesh nodes (smart meters) which are in pivotal location will face great communication pressure and probably lead to extremely data congestion. This paper utilizes a three-layer network to form the wireless muti-hop meter data collection communication network, next proposes a new random switching traffic scheduling algorithm based on meter data collection tree with the idea of load balancing, and then gives an optimization for random switching traffic scheduling. Simulation show that the new traffic scheduling mechanism can create a balanced meter data collection tree, significantly reduce the packet loss ratio of the burst data and release congestion of system.

Distributed Fault Detection Based on Credibility and Cooperation for WSNs in Smart Grids

Due to the increasingly important role in monitoring and data collection that sensors play, accurate and timely fault detection is a key issue for wireless sensor networks (WSNs) in smart grids. This paper presents a novel distributed fault detection mechanism for WSNs based on credibility and cooperation. Firstly, a reasonable credibility model of a sensor is established to identify any suspicious status of the sensor according to its own temporal data correlation. Based on the credibility model, the suspicious sensor is then chosen to launch fault diagnosis requests. Secondly, the sending time of fault diagnosis request is discussed to avoid the transmission overhead brought about by unnecessary diagnosis requests and improve the efficiency of fault detection based on neighbor cooperation. The diagnosis reply of a neighbor sensor is analyzed according to its own status. Finally, to further improve the accuracy of fault detection, the diagnosis results of neighbors are divided into several classifications to judge the fault status of the sensors which launch the fault diagnosis requests. Simulation results show that this novel mechanism can achieve high fault detection ratio with a small number of fault diagnoses and low data congestion probability.

Smart Gird Distribution and Consumption Communication Network Architecture

Smart grid distribution and consumption communication network is one important part of smart gird communication network and the crucial technology field of smart grid. Smart grid distribution and consumption communication network due to its existing features such as large coverage, enormous number and irregular distribution of the network nodes and difficulty of network construction, has been lack of suitable communication technology and network construction mode, and become the negative factors of the development of smart gird communication network and the constraints of the application and development of smart grid distribution and consumption business. This paper makes great efforts on the research about lots of power communication technologies and the existing scheme of power communication network construction, considers the characteristics of business needs, technical prospects and economic cost, and then proposes a widely applicable smart gird distribution and consumption communication network architecture, including smart grid distribution and consumption communication network model, layered network structure, and a series of applicable networking programs. 

A random switching traffic scheduling algorithm in wireless smart grid communication network

One of the key technologies of smart grid is an efficient, reliable and secure two-way communication system for meter data collection. Because of the advantages of muti-hop communication, self-organizing, self-healing and reliability, wireless muti-hop communication technology becomes an ideal choice for smart grid meter data collection. However, forming wireless mesh network with advanced electricity devices (smart meters) which have the communication capabilities for meter data collection faces challenge on communication performance of network caused by application layer data traffic. When a large number of data occur in emergence, some smart meters (the last hop nodes) which are in pivotal location will face great communication pressure and probably lead to extremely data congestion. With the idea of load balancing, this paper proposes a new random switching traffic scheduling algorithm based on meter data collection tree. Simulation data show that the new algorithm can create a balanced meter data collection tree, significantly reduce the packet loss ratio of the burst data and release congestion of system.

Random Violation Risk Degree Based Service Channel Routing Mechanism in Smart Grid

Smart gird, integrated power network with communication network, has brought an innovation of traditional power for future green energy. Optical fiber technology and synchronous digital hierarchy (SDH) technology is widely used in smart grid communication transmission network. It is a challenge to reduce impact of the availability of smart grid communication services caused by random failures and random time to repair. Firstly, we create a service channel violation risk degree (SCVRD) model to precisely track the violation risk change of communication service channel. It is denoted by the probability of service channel cumulative failure duration exceeding the prescribed duration. Secondly, a service channel violation risk degree routing mechanism is proposed to improve the availability of communication service. At last, the simulation is implemented with MATLAB and network data in one province are used as data instance. The simulation results show that the average service channel failure rate of availability-aware routing based on statistics (AAR-OS) algorithm and risk-aware provisioning algorithm are reduced by 15% and 6%, respectively.

Fault Recovery Algorithm for WSNs in Smart Grid

—A large number of sensors are deployed in smart grid for monitoring and metering of the power equipment and other key facilities as well as users’ behavior. The collected information is sent to data processing center for analyzing and processing. Because of the relatively complicated and harsh working conditions of sensors in smart grid, sensor fault occurs frequently. To ensure the normal execution of monitoring and metering, timely and accurate recovery of sensor fault is needed. Therefore, this paper proposes a kind of fault recovery algorithm for WSNs in smart grid. Firstly, sensor fault is classified according to the degree of influence on data monitoring and communication. Then different fault recovery methods are designed according to different fault types, and suitable alternative nodes are selected to restore the network function. Simulation results show that the proposed algorithm can realize sensor fault recovery using as little communication cost as possible, and extend the lifecycle of sensor network on the premise of ensuring coverage rate of target nodes.

Traffic scheduling mechanism based on interference avoidance for Meter Data Collection in wireless smart grid communication networks

Meter Data Collection Building Area Network (MDCBAN) deployed in high rises is playing an increasingly important role in wireless multi-hop smart grid meter data collection. Recently, increasingly numerous application layer data traffic makes MDCBAN be facing serious communication pressure. In addition, large density of meter data collection devices scattered in the limited geographical space of high rises results in obvious communication interference. To solve these problems, a traffic scheduling mechanism based on interference avoidance for meter data collection in MDCBAN is proposed. Firstly, the characteristics of network topology are analyzed and the corresponding traffic distribution model is proposed. Next, a wireless multi-channel selection scheme for different Floor Gateways and a single-channel time unit assignment scheme for data collection devices in the same Floor Network are proposed to avoid interference. At last, a data balanced traffic scheduling algorithm is proposed. Simulation results show that balanced traffic distribution and highly efficient and reliable data transmission can be achieved on the basis of effective interference avoidance between data collection devices.

A random switching traffic scheduling algorithm for data collection in wireless mesh network

Because of the advantages of multi-hop communication, self-organizing, self-healing and reliability, wireless mesh network becomes an ideal choice for data collection. However, wireless mesh network for data collection faces challenge on communication performance of network caused by application layer data traffic. When a large number of data occurs in emergence, some mesh nodes (the last hop nodes) which are in pivotal location will face great communication pressure and probably lead to extremely data congestion, especially in smart grid. For the idea of load balancing, this paper proposes a new random switching traffic scheduling algorithm based on data collection tree. Simulation data show that the new algorithm can create a balanced data collection tree, significantly reduce the packet loss ratio of the burst data and release congestion of system.