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With the rapid development of intelligent distribution networks and demand-side response, the effective use of large-scale flexible loads is one of the main trends in the future distribution networks. The flexible load is divided into "source" load, "source load" load and "load" load, and a multi-objective programming model of distribution network frame based on flexible load is proposed. The model considers both the basic optimization of the planning problem and the operation control strategies of different flexible loads. The multi-objective discrete binary particle swarm algorithm is used to solve the model, and a constraint mechanism adapted to the characteristics of the distribution networks is proposed. A large number of infeasible solutions are removed, and iterative operations are performed to obtain the Pareto non-inferior solution set. Finally, the entropy weight the modified TOPSIS multi-attribute decision-making method is used to solve the optimal scheme as the final grid planning scheme. A 25-nodes distribution network planning system is used as an example to verify the validity and rationality of the proposed method.

To the pressure caused by the improvement of the collection frequency in the course of high-frequency electrical load collection of orderly power utilization management platform, considering the existing channel carrying capacity, the number of concurrent tasks, collection frequency of tasks, the real-time performance of task execution and so on, this paper proposes a smart task scheduling strategy of orderly power utilization based on priority. Different task execution cycles setting for different priority tasks to make sure that high-priority tasks are timely implemented and the low-priority tasks are executed for the remainder of the execution cycle of high-priority tasks to take full advantage of channel resources and reduce the total task execution time. The actual application shows that the proposed strategy is efficient and feasible to achieve high-frequency real-time load collection and collection frequency is one minute while ensuring load collection tasks of common electric power users be performed.

Aiming at the issues of session persistence and load balancing in large-scale power consumers access, this paper studied the cookie session persistence mechanisms on Web applications, and proposed a session persistence mechanism, which includes a session persistence strategy to realize load balancing combing session sever with cookie. Experiments show that the mechanism could effectively solve the problem of large-scale power consumers access, and the performance on response time is acceptable. The practical values of this mechanism are good.

There are many defects existed in interactive intelligent power utilization field, such as the human-computer interaction interface is not ideal, and the application scene of geographic technology is simple, and graphical visualization Representation is delayed and the operation is not flexible, and the ability of real-time interaction and user experience are weak, and the ability of warning display is not strong, the paper proposes a visualization representation method, which is based on GIS platform and uses the OpenLayers framework, HTML5 technology and other RIA(rich internet applications) technology to achieve the visualization representation. At the same time, the user experience is enhanced, and the failure and risk can be found out timely.

Achieving power efficiency is a very critical issue in today's data centers and other information processing and storage facilities. In this paper we focus on data layout strategies for conserving energy in de-duplication storage systems. We introduce a method to find the least-cost configuration that meets known targets for de-duplication performance (as well as fault-tolerance) while archiving energy efficiency. We have built the Power-Aware De-duplication System (PADS) to reduce energy use of conventional disk based de-duplication storage systems. PADS turns on just enough disk spindles by properly estimating average chunk size, that is, we can modulate the storage disk provision according to the load fluctuation. Simultaneously, by using S-RAID[10] based data layout, disk accesses are concentrated in a part of the disks in a long time which is conducive to scheduling other disks into standby or shutdown mode. Without specialized hardware, the system can still meet performance demands. Our proposed approach reduces energy consumption of de-duplication storage system, makes de-duplication to fully integrated with the underlying storage mechanism.

To reduce time of re-identifying tags, we propose a novel adaptive framed slotted aloha (AFSA) protocol for radio frequency identification (RFID) tag anti-collision in this paper. The AFSA protocol can allocate each tag a slot number after successfully identifying the tag. The slot number signifies when the tag could be identified during an identification cycle. If some tags which have been identified in the last identification cycle need to be re-identified, a reader adopting the AFSA protocol can orderly identify these tags according to the tags' slot number. And, to further reduce re-identifying time, we also improve the ADFA protocol in the second half of this paper. Both the theoretical analysis and the simulation show that, the AFSA protocol and the improved AFSA protocol can reduce read time when repeatedly identifying tags.

To solving the isolation problem of transmitting-receiving antenna in very-near anti-missile system, this letter analyses the equivalent model of AMC, which is made of high-impedance electromagnetic surface, and shows the relationship between its reflectance and phase offset. Then a novel method is brought to improve the isolation by the AMC and the experiments show that this method is able to make the isolation reach −80dB in a 200M band. So it has a very huge application value because of its simple structure and low cost.