This paper proposes an optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm, and establishes a joint optimization with the total network loss of the power grid system, the minimum node voltage, the average voltage deviation, and the user power purchase cost as the objective function. model, to realize the location selection and constant volume of distributed energy, and to use the weighted method to realize the simplification of the objective function. The chaotic genetic simulated annealing algorithm is used to solve the optimization model, and the simulation comparison is made based on the IEEE-69 node system and the particle swarm algorithm , the results show that the proposed method has higher effectiveness and reliability.
KEYWORDS: Data acquisition, Wireless communications, Transformers, Control systems, Calibration, Sensors, Data centers, Standards development, Signal detection, Safety
Traditionally, the voltage and current sampling wiring for the device of low-voltage station area acquisition and monitoring is complex. Furthermore, there are many nodes, and each node is measured by wiring, consequently safety and efficiency have to face great challenges. This paper proposes a new idea of independent voltage and current sampling, using high-precision synchronous time synchronization and high bandwidth wireless transmission technology to promote the miniaturization design of wireless metering devices and smart terminals. It is verified that the synchronous timing accuracy of less than 10us, and the high bandwidth transmission above 1Mbps can be achieved to meet the requirement of 200Kbps. The results show that the ping-pong timing mechanism and broadband wireless technology used in this paper achieve the expected effect. It will improve ubiquitous sensing, data fusion and intelligent application capabilities of distribution equipment at all levels in the future.
In this paper, a sensor access system based on streaming computing mode is studied and implemented to meet the requirements of fast access and real-time processing of large-scale sensing nodes, which provides fast access and management capabilities for sensors. Aiming at the service carrying capacity of nodes after access, the time characteristics of network traffic are studied, and the optimal path algorithm is designed based on this feature to ensure the stability after access. The test results show that the application sensitive to delay and jitter can obtain more bandwidth resources to ensure the quality of service and improve the performance of multi-service bearing based on the priority fast access mode and the optimal routing algorithm.
KEYWORDS: Telecommunications, Computer architecture, Data acquisition, Software development, Data communications, Wireless communications, Control systems, Internet, Data processing, Statistical analysis
Previous research methods have focused on reuse of application software about embedded software development among smart distribution terminals. However, few investigations have been able to study the reconfigurable method of this software prospectively and in well-layered settings. Moreover, no studies have determined whether the embedded hardware development in the era of power Internet of things that influences the performance improvement of the software platform. The purpose of this paper was to explore the reconfigurable method of architecture level for embedded software development that can be realized only through four steps: start-data operation-control operation-end, and describes the design steps and the application of available high-performance techniques which greatly improves the efficiency of software development. By constructing the three-level reconfigurable software design method of ‘function element-component-system architecture’, this paper realizes the reconfigurable method of smart distribution terminal software development. We further confirmed the feasibility of this method by large-scale application of intelligent distribution terminal to low-voltage distribution station area.
In order to improve the data processing capability of the power acquisition system, the electric information acquisition system can be better adapted to different communication environments, in this paper, a multi-mode communication mode with strong adaptability is proposed. In the upstream channel includes GPRS, optical fiber communication, 3G wireless private network, 3G wireless public network, 4G wireless public network, 4G wireless private network and other existing communication mode, and in the downstream channel contains a low-voltage narrow-band PLC, low-voltage broadband PLC, wireless sensor networks and RS485 and other communication modes. Through the analytic hierarchy process to achieve the switch between the various communication modes to adapt to different environments.
With the massive access of distributed power sources, the traditional passive distribution network is gradually transformed into an active distribution network, which has changed the structure of the original distribution network and its operation and control strategies. The self-recovery of the distribution network based on distributed power has become an extremely important development trend in the new situation. In order to improve the reliability of power supply and realize the seamless conversion between island mode and grid-connected mode, the subnet division of distributed power generation network was studied. When optimizing the results of subnet division, an improved wolf pack algorithm was adopted. Based on the nature of subnet division, the algorithm was adaptively improved, so that the algorithm can be applied to the discrete function domain; at the same time, the wolf pack algorithm is introduced. The information transmission mechanism of the gray wolf, through the information transmission between the gray wolf and the local optimal wolf and the global optimal wolf, updates the position of the gray wolf to jump out of the local optimal, and improves the accuracy and reliability of the results.
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