Intelligent Distribution Network Research Articles

Scheduling Strategy Optimization and Security Protection Technology in Smart Distribution Network

In the power system, distribution network is a very important link, and its operation quality and power supply reliability have a great impact on the whole social and economic development. Firstly, this paper analyzes the structure, function and characteristics of intelligent distribution network. Then it introduces the research status of optimization strategy based on genetic algorithm and its security protection technology, as well as the relevant basic theoretical knowledge. Then, aiming at the existing problems, the security protection system is designed for the power grid. Finally, through the performance test of the system, it is verified that the method is efficient and practical, and can effectively improve the security and stability of the power system, promote the further acceleration of China’s sustainable construction process, improve the benefit level of power supply enterprises, and achieve the goal of social and economic development.

Diagnosis of weak points in the distribution network based on association rules

In the intelligent distribution network, various faults of the distribution network still frequently occur during the operation of the distribution network, which normally appears at the weak points of various types of electrical equipment. The basic concepts and practical application significance of the three judgment indicators of support, confidence, and imbalance ratio in association rules are proposed in this paper; subsequently, the collection and sorting of fault data in the distribution network are mentioned, and the subsequent fault data of the association rules are performed as well. The preprocessing was implemented, and the weak point analysis model of the distribution network was established. Finally, the analysis and verification were carried out through the calculation example, which proved the feasibility and accuracy of the association rule data mining algorithm FP-network in the analysis and diagnosis of the weak point of the distribution network. The results show that the accuracy of the proposed method in identifying weak points in the distribution network can reach more than 90%. Therefore, the application of this algorithm in the monitoring of weak points in the distribution network has better performance.

Design and Implementation of the Isolated Bidirectional DC-DC Converter

With the development of intelligent distribution networks and the increasing demand for new energy access, the isolated bidirectional dc-dc converter has become a key link in modern energy transformation systems. In order to realize the functions of electrical transformation and electrical isolation of dc voltage, this paper proposes a structure of isolated bidirectional dc-dc converter, and analyzes it in detail. The proposed isolated bidirectional dc-dc converter can not only realize voltage transformation, but also have voltage regulation and fault isolation functions. Finally, based on the MATLAB/Simulink simulation platform, the proposed isolated bidirectional dc-dc converter topology is built and verified by simulation. The structure of isolated bidirectional dc-dc converter not only has the functions of voltage transformation and electrical isolation, but also has fault isolation, power flow control and other functions.

Study on reliability assessment of distribution networks containing distributed power supplies

With a large number of distributed power sources connected to the distribution network, power supply reliability has always been one of the most concerned indicators for power supply companies. Fault mode and effect analysis (FMEA) can predict the impact of fault isolation and load switching diversity in active intelligent distribution networks. In this paper, a standardized model of reliability system evaluation is constructed by FEMA table, and the reliability index is solved by combining Monte Carlo analysis method. The simulation with IEEE-RBTS BUS6 as an example shows that the method can quantify the effect of distributed power supply on the reliability of active distribution network, which proves that the proposed method is effective and feasible to solve the index.

Reconfiguring Distribution Networks by Means of Minimizing Power Loss and Considering Overcurrent Protection

This paper studies the reciprocal impact of distribution network protection and reconfiguration of active Nowadays, with increasing energy consumption in distribution networks and the demand of consumers to buy highly reliable power, it is of high importance to establish adapt between protection and operation of the power system. distribution system. Accordingly, a distribution network reconfiguration is carried out to find the optimal switching operations in an economic way. Since the switching operations will change network topology as well as short circuit level of buses, the protection coordination may be invalid. To address this issue, constraints of the coordination of protection relays and fuses is being formulated and added to the reconfiguration problem. Moreover, the nonlinear equations of the problem are linearized and are transformed the reconfiguration problem into Mixed-Integer Linear Programming (MILP) one to achieve the global optimal solution. The proposed method has been implemented on 33 bus distribution network. The results clearly show effectiveness of the active and reactive power management in an intelligent distribution network considering protection concepts.

Study of Modular Multilevel Converter in AC/DC Hybrid Distribution Network

The AC/DC hybrid power system plays an important role in the intelligent distribution network with the advantages of large power supply radius and capacity, low line cost and convenient distributed access. In this paper, a modular multilevel converter based on AC-DC side of AC/DC hybrid distribution network is exploited. An improved MPC sub-module capacitor voltage balance control method is proposed to reduce the calculation burden of MPC. The cost function is defined for phase currents, circulating currents, and sub-modules capacitor voltages. The weight factors of the cost function are eliminated, and the sub-module capacitor voltage control algorithm is improved to reduce the computational complexity of MPC. Not all cost functions for possible switching states combinations of MMC are calculated using improved method. The effectiveness of proposed improved method is evaluated based on 11 levels MMC system using Matlab/Simulink.

Power Supply Safety Management of High-risk Customers of Regional Grid

Flourishing of domestic electric power industry contributes to the development of various industries and fields, particularly the promotion and popularization of intelligent distribution network, meeting people’s working and living power demand. However, the continuous improvement of the scale and quantity of electric power projects increases the overall difficulty of power supply and distribution management. To be specific, not only modern control technology needs to be applied and advanced power supply & consumption equipment needs to be used, but also scientific and rational power supply & distribution scheme needs to be formulated to ensure the operation reliability of distribution network. In view of this, the paper studies the safety management of power enterprises. First of all, it sets out the defining scope of high-risk customers with the high-risk customers of regional grid acting as the study object, and then, it points out the power supply & distribution safety management problem of high-risk customers, finally, it proposes safe power supply management measures and optimization suggestions from technology, equipment, personnel and management, hoping to provide the practitioners concerned with reference.

Topology Identification Method of Urban Power Grid Based on 5G Communication

With the development of 5G communication technology and intelligent terminal technology of urban power grid, intelligent distributed control mode independent of master station will become the trend of intelligent distribution network in the future. The characteristics of flexible configuration and strong scalability make 5G communication technology provide a wireless solution, which greatly gets rid of the constraints of communication cables and promotes the popularization and application of intelligent distributed control technology. Based on 5G communication technology, this paper proposes a distributed topology identification method. In this solution, each Smart Terminal Unit (STU) only needs to configure its associated static network topology information, and each STU forms dynamic network topology information according to certain topology identification rules. The purpose of identifying topological information is to use the information to provide topological information support for advanced functions of the distribution network, such as reclosing, identification of distributed power islands, and restoration of non-faulty section power supply.

Transient and steady-state faults location in intelligent distribution networks compensated with D-STATCOM using time-domain equations and distributed line model

Intelligent electric distribution networks compensated with D-STATCOM are active networks in which data of terminals is important for better distribution of energy. Similar to all electricity network devices, energy distribution lines in such networks are also subject to transient and steady-state AC faults, e.g., short circuit. Sections of the network in which the fault occurs are separated by relays. In such a condition, fault location and restoring the normal status of the network are important. Fault location in these networks is performed based on synchronous data of two terminals because data of all buses are transmitted to the main bus In this paper, a time-domain equation method (TDEM) is proposed for locating faults on smart distribution grid (SDG) using distributed line model based on time-domain equations. The proposed method locates the point of transient and steady-state fault in SDG considering DGs and compensators. In this paper, the D-STATCOM and wind power plant are considered in SDG. The suggested method does not need the D-STATCOM and DGs model for applying the algorithm. It only uses data of less than half of the cycle for executing the algorithm. The numerical simulation confirms that the proposed fault location method is accurate and it provides a reliable solution for automatic fault location problem in distribution networks.

Multidimensional Intelligent Distribution Network Load Analysis and Forecasting Management System Based on Multidata Fusion Technology

In order to improve the work efficiency of load characteristic analysis and realize lean management, scientific prediction, and reasonable planning of the distribution networks, this paper develops a multidimensional intelligent distribution network load analysis and prediction management system based on the fusion of multidimensional data for the application of multidimensional big data in the smart distribution network. First, the framework of the software system is designed, and the functional modules for multidimensional load characteristic analysis are designed. Then, the method of multidimensional user load characterization is introduced; furthermore, the application functions and the design process of some important function modules of the software system are introduced. Finally, an application example of the multidimensional user load characterization system is presented. Overall, the developed system has the features of interoperability of data links between functional modules, information support between different functions, and modular design concept, which can meet the daily application requirements of power grid enterprises and can respond quickly to the issued calculation requirements.

A multi-source data collection and information fusion method for distribution network based on IOT protocol

With the construction of Global Energy Internet, Intelligent distribution network has more and more characteristics of multi scene, multi service and changeable measurement and control objects. In order to realize data collection and information exchange among the intelligent terminal and energy, power grid, load, energy storage and other control resources in distribution network, we should research an architecture which can adapt to various data sources Based on dynamic self describing protocol.

Lightweight Key Management Scheme for Wireless Communication System of Distribution Network

Key management is the key to ensuring the information security of the intelligent distribution network. Based on the analysis of the communication characteristics and key management requirements of the intelligent distribution network, this paper proposes a lightweight intelligent distribution network key management scheme DNKMS. According to the storage and computing capabilities of power distribution terminals, electronic distribution stations and power distribution master stations, task distribution is optimized, and the design idea of the scheme and the process of key generation, distribution, update, and destruction are described in detail. The analysis results show that the proposed scheme has less time overhead and higher efficiency, can reduce the communication and calculation load required in key management, and meet the security requirements of key management in smart distribution networks.

Application of FA in intelligent distribution network

As the nerve end of power system, distribution network is a user oriented window for power enterprises. Feeder automation (FA) is an important part of intelligent power distribution, which can monitor line operation, find line faults in time, diagnose fault areas quickly, isolate faults and restore power supply in non fault areas. This paper analyzes FA from the aspects of FA realization mode and start-up strategy, and takes FA usage in Shandong distribution network as an example to illustrate the role of FA in intelligent distribution network.

Research on Monitoring and Diagnosis Technology of Data Anomaly in Distribution Network

Aiming at the problems of a large amount of abnormal data in the distribution network and the poor adaptability of traditional distribution network data, the paper proposes an intelligent distribution network status and abnormal data monitoring method, which has undergone data pre-processing and data fusion, Data analysis and visualization, and state identification and processing, a total of 4 links, turning multiple electrical feature quantities into a single comprehensive feature quantity, monitoring the operation status of the distribution network, and according to the relationship between each node and the size of the local anomaly factor to achieve intelligence Judgment and location of distribution network fault areas. The thesis realizes the detection and location of faults according to the size of each node's LOF value and the node's association relationship. After RTDS semi-physical closed-loop test, the accuracy and reliability of fault determination and location are high, which has certain reference value.

Research on Key Technologies of Intelligent Operation Control of Super-large Urban Power Grid Based on Multi-center Structure

Under the background of higher and higher requirements of intelligent, reliable, green and efficient operation of power grid, the traditional operation control technology of urban power grid can no longer fully meet the new requirements of integrated operation and intelligent dispatching. The increasing environmental pollution and the gradual shortage of natural resources promote the rapid development of intelligent technology for distribution network dispatching. Traditional urban distribution network management ideas, especially the concept and mode of distribution network dispatching, can no longer adapt to the new situation, and need to be repositioned and studied deeply. In the construction of intelligent distribution network, intelligent control system is a very important part, which has a very positive significance for the overall operation of the power grid. This paper takes the construction of intelligent distribution network dispatching system as the long-term vision, extends the development and application trend of intelligent distribution network dispatching technology, and puts forward ideas on how to construct the concept and key technology of intelligent distribution network dispatching suitable for China's super large cities based on the city multi center structure.

A research on early warning method of Distribution Network Cyber Physical System

The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.

Design of intelligent distribution network based on Geographic Information Technology

According to the business requirements of distribution network planning, this paper deeply studies the existing simplified display algorithm of distribution network in GIS, constructs the distribution network model based on geographic information technology, develops the functions of supporting storage, display and display, and the function module of professional map editing for distribution network planning. The concept of spatiotemporal data and its application in GIS are innovatively put forward. The display research based on the status quo and the analysis and management technology of distribution network structure under planning state are carried out. The spatiotemporal representation, spatiotemporal evolution, and comparison of power grid are realized. The geographic image elements are matched and associated with equipment parameters to realize the integrated modeling of map and power grid, realize the penetration function from the map to equipment parameters and power grid indicators, and support the diagnosis and analysis of power grid-related indicators. Finally, a three-dimensional power map with time dimension, space dimension, and attribute dimension is constructed to provide geographic environment and equipment parameter data for power grid planning, site selection, and line selection.

Network Coordination, Self-Regulation Mode, and Autonomous Control Space Planning of Microgrid

This paper investigates the network coordination, self-regulation mode, and autonomous control spatial planning of microgrid. To do this, the cooperative self-discipline model of multi-microgrid intelligent distribution network is constructed. Based on combing the power control of multi-microgrid with high penetration situation, the concept and characteristics of distribution network and self-regulation mode are defined according to the new requirements, and the basic framework and decision-making process of self-regulation mode are put forward. Further, the formulation method of autonomous spatial planning for multi-micronetworks is described. By constructing cooperative self-discipline space scheme and its reward and punishment mechanism, the network operation behavior is restrained and guided, and the control dimension of the distribution network is reduced. Finally, a typical case is given to illustrate the effectiveness of cooperative self-discipline supervision mode in reducing the space-time dimension of distribution network supervision.

COMPREHENSIVE METHOD FOR EVALUATION OF MEDIUM- AND LOW-VOLTAGE DISTRIBUTION NETWORK OPERATING STATE

With the development of intelligent distribution networks and access to distributed energy, the solving the problem of timely and accurate determination of the operating state of the distribution network is an urgent task. Based on an improved analysis of the principle components of the network and statements of a self-organizing neural network, this article proposes the method to evaluate the operating state of medium- and low-voltage distribution networks. At the first step, the system of evaluating indices of the network is formed by advanced component analysis. The evaluation system is grounded on four aspects, including safety, reliability, quality and economy. Next, the self-organizing neural network is used to identify and clean up the data regarding the operating state of the distribution network. At the next step, the indicators are modeled at all levels; the entropy method is applied to calculate the total weight of all indicators. Then the value of each indicator is found and the weak links of the distribution network are determined. At the final stage, the comprehensive assessment of the real operation of the distribution network in Guangxi province is carried out. As shown, the method can effectively reduce the effect of abnormal data and subjectivity factor on the results of evaluating the state of the distribution network. That confirms the feasibility and practicability of the proposed method. References 22, figures 6, tables 6.

The network of telecommunications cross‐layer cooperation control of wireless sensor communication network applied in smart distribution grid

SummaryWith the rapid development of artificial intelligence, the intelligent distribution network can effectively improve the overall power supply quality of the distribution system. The designed distributed power has been able to achieve an optimal operation of grid connection, while the high‐speed operation of distribution equipment can achieve effective interaction with users. At present, intelligent distribution network is widely studied and applied in power industry because of its advantages of high efficiency energy and environmental protection. Because of its unique characteristics, such as low cost and fast speed, wireless sensor network is cleverly applied in intelligent distribution network. However, wireless sensor network has some defects in energy utilization due to its large range and too many nodes. This paper presents a cross‐layer cooperative control model, which can control the real time and reliability of network power data communication through stack protocol layer. This method can learn the weight value adaptively by training the influence relationship between the parameters of each protocol layer and achieve real‐time and reliable data communication by adjusting the policy and parameters of each layer in real time. This method takes the parameters of each wireless sensor node as the unit to establish the influence relationship between each other so as to realize the connection between each node of wireless sensor network and then to control the wireless sensor network as a whole to ensure the real‐time reliability of data communication in intelligent distribution network. In this paper, a lot of simulation experiments have been done, and the results show that the proposed cross‐layer cooperative control model can control the whole wireless sensor network to achieve efficient data transmission capacity of intelligent distribution wireless sensor network.