Bing Qi

An Improved Fuzzy Image Enhancement Algorithm

An effective method for fuzzy image enhancement was presented by Russo, which was controlled by tuning of one parameter. The fixed parameter was used for the entire image resulting in over blurring or sharpening of image features in some parts of the image. On the basis of these, in this paper, we applied Russos algorithm on different kinds of noise and proposed an efficient method to obtain the parameter values adaptively. Firstly, each pixel went through a phase of smoothing and then followed by a phase of combining smoothing and sharpening; Secondly, to effectively enhance image, each pixel local feature was adaptively assigned different parameter values by evaluating pixel local features through a fuzzy membership function; Finally, compared with Russopsilas method and other methods, experimental results indicated that the proposed method could achieve better performance than traditional methods for the enhancement of images corrupted with impulse and Gaussian noise.

Applications of forecasting based dynamic p-cycle reconfiguration under reliable optical network in smart grid

There is a significant motivation to increase restoration speed of electric power communication network by using mesh-based schemes, because they can always take less time to achieve network convergence. However, on the other side, it often involves large amount of extra overhead and thus consumes more controlling bandwidth. In order to design efficient survivable transport network, we propose a forecasting based p-cycle (FDP) to adapt to the rapid development of information communication technology network and the communication infrastructure of further smart grid. The proposed approach has the immediate benefit of providing natural reconfiguration under dynamic service requirement by investigating the statistical properties of power grid. Interface of GMPLS control plane and been extended for the proposed approach, and several reconfiguration approach is evaluated with the support of distributed pre-configuration scheme using GMPLS and new LSA type in OSPF-TE to realize this scheme. We also analyze the performance of decentralized control algorithm over information networks whose topology matches that of underlying power network and use analytical approach to determine whether the proposed method works well under different reconfiguration strategies. Additionally, various classical p-cycles enumeration algorithms together with distributed configuration protocol from previous work are evaluated under FDP approach and the efficiency protection resource utilization is examined.

Design of Demand Response System Based on OpenADR

The double pressures of resources and environment have brought the global power industry into the era of Smart Grid. In order to better promote the development of Demand Response of Smart Grid and to offer new regulation resources for the safe and stable operation of electric power system, OpenADR, the Open Automated Demand Response Communications Specification, has been discussed in detail, which aims at the problems of energy efficiency and the contradiction between power supply and demand. And a design scheme of Auto-DR system which introduces in detail the system architecture and the communications architecture based on OpenADR was proposed to realize the two-way communications between Utilities and end-users, and the problems such as the peak, the gap between supply and demand and the electricity structure management would be consequently solved. This scheme has a certain reference value to the Demand Side Management under the framework of Smart Grid.

The research on user interface information interaction technology application in smart home

User interface is the production of development and construction of the smart grid, which is aimed to achieve two-way interaction between power gird and customers, reform traditional pattern of electric power service, provide high-class and convenient service to improve peoples life quality. With the extensive use of renewable energy, energy storage, electric vehicles and so forth and the development of information and communication technologies, smart home system needs to make efficiently information interaction with grid business system to satisfy a function to supply various services for power grid. According to the analysis of existing technical specifications and the demand analysis of smart grid user information interface, the structure of information interaction was studied and service functions were designed. The paper puts forward the information exchange interface to solve the problem of communication between the smart home devices, so that the intelligent controller can transmit the control information to the device, which is of great significance for the realization of the intelligent home.

Plan of power utilization of time-of-use power price through smart grid user interface

The implement of peak and valley time sharing electricity price is the important measure to regulate power load fluctuation and promote load rate. We build a domestic communication network of WIA in customers home, in order to make air conditioners and the other appliances connect with each other. In order to get reasonable solution of power utilization, we establish a nonlinear mathematical model, which takes the different consumptions of various appliances into parameters. Since there are the optimizations of min (max) and multi-objects in the model, for solving it, first transform the objects into the restriction condition, which will construct the new multi-objects nonlinear model, then the most satisfactory method in the fuzzy matches is adopted to solve the multi-objects model. With the optimal solution, we get the reasonable plan for customers. The result shows that establishing appropriate time-of-use (TOU) power price can shift peak load and optimize resources in society.

The research of household appliance on-line load monitoring

In this paper, an on-line load monitoring system is proposed, with only one meter, which analysis appliance energizing and de-energizing transient and steady-state feature to keep track of the energy consumption of each appliance. From electrical appliances load model viewpoint, it is easy to establish a load model for a single kind of appliance. But household appliance system consists of various kinds of appliance which have its own features, the power consumption of individual appliances cannot be identified directly. In this paper, appliances are classified by working principle and current time relation. When electrical appliances are running, the steady-state (such as base power and harmonics power, etc.) or transient (such as transient voltages, electric current, disturbance waveform, etc) response of mainline can be captured through the analyses of current waveform by using artificial neural network (ANN) and genetic algorithm (GA). Then by analyzing elements of that current waveform, the switching and energy consumption of appliance can be tracked.

Fault-Tolerant Energy Efficiency Computing Approach for Sparse Sampling Under Wireless Sensor Smart Grid

Recently, energy efficiency measurement has been emphasized in China for energy conservation purpose, while there are appealing requirement for plug-and-play measuring manner without long outage time. Different with previous approaches, we present a sparse fault tolerant (SFT) method to calculate electricity energy efficiency under IEC PC-118 cloud architecture to accommodate the low speed data acquisition network. It is implemented with only one modification of the incoming line to monitoring the bus voltage. An attenuation distributed approximating approach is developed for fundamental, harmonic and interharmonic frequency and phasor estimation during energy measurement. The performance is verified with different SNR, and the results show that the proposed approach is highly resilient to noise can works well under sparse sampling environments. To guarantee the security of the power system, the trivial signal disturbance is involved as additional noise to verify the performance of SFT, and the performance is also compared with several typical algorithms, such as DFT, WIDFT, S-LMS, IDFT. The experimental results show that SFT can be used under noisy environment for SFT approach and the accuracy can be improved by the selection criteria of residues rather than improve the sampling rate. It can be applied to any form of signal and can be used online without blackout or power line interruption.

Application of

In order to improve the security and stability of the intelligent substation communication networks, a novel shared risk link group (SRLG) weighted p-cycle algorithm (SWCA) is proposed by considering the diversity of different substation links and the associated fiber core. The proposed approach is dedicated to solve the problems of multiple failures by sharing risk analysis. Hybrid integer linear programming and heuristic algorithm implementation are presented to reduce the complexity of optimizing bandwidth allocation under SRLG constraints. The performance of bandwidth utilization, service reject rate, and protection resource redundancy is investigated under the dynamic traffic environment, and the optimum SRLG number is discussed. The experimental results from two demonstration networks with randomly set SRLGs show that SWCA can reserve more bandwidths and, therefore, more service requests can be served at the expense of protection redundancy. Completely separated SRLG protection will decrease simultaneous failure probability of the working path and protection path and, thus, improve the survivability of the substation communication network compared with the classical capacitated iterative design algorithm-grow and shortest path pair protection method. Meanwhile, the approach can restore multiple failures within intelligent substation communication networks, and can therefore enhance the survivability of the electric power communication network.

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Energy efficiency analysis system need to be widely deployed to collect energy consumption data in a timely schedule and also the online monitoring integrated with dynamic analysis. Smart metering system have similar functions and can be used with some equipment reformation, but the now exist system can not be used in a plug-and-play manner, which is the main constraint on large scale deployment. In this paper, a novel distributed measuring approach is proposed with only one modification of the incoming line to monitoring the bus voltage. While other sensor nodes that deployed at several monitor point are designed with integrated communication and measurement component, which can be used online without blackout or power line interruption. Standard IEEE 802.15.4 beacon frame payload is extended on the concentrator side, and thus the zero position sequence (ZPS) and selected full sampling in one period is conveyed in the extended frame to assist each distributed measurement and synchronization. To verified the feasibility of the proposed distributed measurement by using wireless sensor network, we established online energy efficiency analysis testbed (OEEABed), experimental results are presented to illustrate the effect of both network performance and signal processing parameters.

-Cycle Protection for the Substation Communication Network Under SRLG Constraints

This paper researches and designs an information interaction interface, which exchanges information between electrical home appliances and smart grid, thus accomplishes the function of data acquisition and appliance control. With regard to the designed logical functional structure of external and internal grid information interaction interface, procedure of information interaction, interaction scheme and communication protocol during interaction process is analysed in detail. The procedure of interactional service between electrical home appliances and smart grid is illustrated by describing coordinating operation of grid information interaction interfaces functional modules, by which the goal of power demand response, energy management and power load control is achieved finally.