Distribution Network Construction Research Articles

Risk Management of Clean Water Distribution System Construction Projects in Urban Areas: Case Study of Dumai City

The availability of clean water is crucial for supporting regional growth, particularly with the increasing population and developments in the industrial and agricultural sectors. Therefore, the government, through Presidential Instruction No. 1 of 2024, has initiated the construction of clean water distribution networks in urban areas, including Dumai City, Riau, to ensure access to clean water for the community. This study aims to identify and analyze the dominant risks in the implementation of clean water distribution network construction projects in urban areas that affect project timelines, as well as the mitigation strategies to manage these risks. The analysis used in this research is descriptive analysis and analytic hierarchy process (AHP) and risk level analysis. From the results of the analysis, there are 5 (five) risks that fall into the high category, slow and unclear licensing, unexpected land conditions (geotechnical, weather, etc.), overlapping pipes, changes in the scope of work after signing, and addition/reduction of work.

Research on power flow calculation methods applicable to new energy generating station area

Abstract With the construction and development of new distribution networks, more and more new components such as distributed power supply and active loads have been connected to the new energy generation station area, posing new requirements for operational control in the new energy generation station area. However, the power supply and load coexist in the new energy generation station area, with both single-phase and three-phase, significant power fluctuations, inaccurate calculation parameters, and incomplete measurement information. Therefore, achieving accurate and efficient calculations plays an important role. This article proposes a power flow calculation method suitable for new energy generation station areas. Firstly, the three parts of this method are explained: overall scheme, stationary correction link, and generalized scene mapping; Secondly, the correctness and applicability of this method were verified through simulation.

Smooth control strategy for emergency switching of multi-port flexible interconnected distribution system modes

IntroductionWith the rise of distributed energy resources, the interconnection of distribution networks and Flexible Multi-State Switch (FMSS) has become a key technology in the construction of new distribution networks. FMSS plays a significant role in enhancing the reliability and flexibility of the system.MethodsThis paper investigates the impact of mode-switching in FMSSs on voltage shocks, current shocks, and power fluctuations in the event of a feeder fault in a multi-port flexible interconnected distribution system. Firstly, an improved state-tracking control method is proposed to effectively mitigate these impacts. Secondly, for feeder faults connected to the fixed DC bus voltage (Udc-Q) control port, a reselection method for the Udc-Q control port at the main station is introduced, aiming to select the optimal port to maintain the stability of the DC bus voltage.ResultsSimulation experiments have validated the effectiveness of the proposed control method in reducing voltage and current shocks as well as power fluctuations. Additionally, the proposed control strategy has demonstrated an enhancement in the safe and stable operation of the system under emergency fault conditions.DiscussionThe control strategy presented in this paper is capable of addressing the challenges posed by feeder faults and ensuring the stability of the DC bus voltage and reliable power supply to feeder loads, thereby enhancing the overall performance and reliability of the flexible interconnected distribution system. The research findings have been verified on the MATLAB/Simulink simulation platform.

Research on Parameter Correction of Distribution Network Model Based on CIM Model and Measurement Data

The construction of an energy distribution network can improve the system’s ability to absorb new energy, and its stable and efficient operation has become more and more important. The security and stability analysis of a distribution network needs accurate distribution network model parameters as support. At present, the installation of PMU equipment in China’s distribution network synchronous phase angle measurement unit is limited, which brings challenges to the parameter correction of the distribution network. In this paper, an automatic correction algorithm of distribution network parameters based on the CIM model and measurement data is proposed for the distribution network system without PMU. Firstly, the distribution network topology construction technology based on XML files and key fields of the distribution network is proposed, and the non/small impedance devices (such as switches) are merged and reduced. The breadth-first traversal algorithm is used to verify the connectivity of the constructed topology. Then, based on the topology construction and the least squares method, an iterative parameter correction technique is constructed. Finally, the accuracy and effectiveness of the proposed algorithm are verified in a standard IEEE 33-bus system distribution network and an example of the China Southern Power Grid. The topology connections constructed based on the CIM model have significantly enhanced the efficiency of parameter correction.

Architecture Research on Differentiated Lightning Protection of Distribution Network Considering Plateau Microtopography

Abstract Lightning is the main and severe threat to 10kV and 35kV medium-voltage distribution networks. It will cause equipment failures or damage, tripping and even power outages. With the construction of modern distribution networks, the requirements for power supply reliability are getting higher and higher. Therefore, lightning protection of distribution networks has received great attention. The key point is to find a cost-effective way to protect against lightning. This paper proposed an architecture for differentiated lightning protection of distribution networks considering plateau micro-topography. The main idea is to take multiple measures to obtain rich data, including a lightning positioning system, 3D laser scanning and digital elevation model. Differences in lightning parameters, line and tower parameters, topographic parameters are thought to bring different lightning tripping rates for each tower. Then tripping rate of each area element is obtained through meshing and discrete calculation. Total tripping rate is finally obtained by summation of all elements. The proposed architecture plans to provide a clue for differentiated lightning protection for the distribution network.

Optimization and analysis of distributed generation units in distributed system for minimizing losses

The proposed study presents a novel methodology aimed at mitigating losses in distributed generation (DG) systems within distributed networks. This methodology involves the integration and implementation of DG units that utilize non-conventional, sustainable resources, potentially enhancing traditional DG systems. When DG units are located near the point of consumption, they create favorable conditions for voltage support, reduction in energy losses, and lower emissions. The strategic placement of DG units, in terms of both size and location within an existing generation network, is critical for the construction, execution, and operational planning of real-time distribution networks. This optimal positioning is key to maximizing voltage stability and minimizing power loss. The study proposes an innovative strategy to decrease real power losses and improve voltage profiles, which includes optimizing substation capacity by introducing DG units.

Research on Digital Distribution Network Micro-application and Precise Control of Distribution Operations Based on Grid Resource Business Center

Abstract This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data architecture. First, the article successfully constructs the basic framework of grid intelligent micro-application, which realizes distribution network equipment’s inspection, operation, and maintenance control functions. It further establishes a collaborative regulation model for digital distribution network micro-applications, focuses on calculating and analyzing distribution banding operations, and proposes a precise specification for the methods easily confused in actual operations. The focus of the study includes comparative analysis of voltage and current overrun probabilities before and after regulation to assess the effectiveness of micro-applications in load forecasting and anomaly warning. The results show that using digital distribution micro-applications significantly reduced the likelihood of overruns at most weak points of the grid by an average of 68%, while the year-on-year reduction of anomalies reached 35%. In addition, the micro-application achieved over 90% accuracy in charge prediction, an impressive performance. By simplifying the distribution operation process, this study significantly improves the feedback speed and efficiency of field operation information, which is of great practical significance and application value for the digital construction of power grid distribution network.

Coordinated planning method considering flexible resources of active distribution network and soft open point integrated with energy storage system

AbstractFaced with the uncertainty of wind and photovoltaic power output and load fluctuation caused by the increase of new energy penetration in active distribution network, the demand for operational flexibility and the construction demand for flexible resources of distribution network are gradually increasing. The flexible operation of active distribution network can be realized by coordinated planning of the soft open point integrated with energy storage system (ESOP) and flexible resources. Firstly, the flexibility resource adjustability evaluation and margin indicators are proposed for the response model of typical flexibility resources. Secondly, a two‐stage distributionally robust coordinated planning model considering the coordination planning scheme of distributed generation, flexibility resource, and ESOP as well as the comprehensive norm uncertainty of wind power and photovoltaic outputs multi‐operation scenarios is established with the distribution network construction cost, annual operation cost, and annual power sales revenue as the objective functions meanwhile the investment and flexibility resource operation as constraints. Finally, the column constraint generation algorithm is used to solve the problem, and the effectiveness of the proposed model is verified by the modified IEEE33 node system.

Distributed new energy information acquisition model of distribution network based on Beidou communication

Abstract Aiming at the low efficiency of distributed new energy information collection in distribution network and the poor encryption of information transmission process, a distributed new energy information collection model based on Beidou communication is proposed. The new energy information acquisition terminal, data acquisition and transmission equipment, Beidou satellite communication module and dispatching master terminal are designed respectively to form the hardware module of the distribution network distributed new energy information acquisition model. Use Beidou communication to collect new energy information, realize the encrypted transmission of new energy information based on Beidou short message, and complete the construction of distribution network distributed new energy information collection model based on Beidou communication. The experimental results show that the bandwidth allocation effect of the Beidou benchmark station of the model is good, the Beidou communication distance is long, the data encryption can be completed in a small space by using the model, the transmission efficiency of new energy data is high, and the data integrity can be effectively guaranteed.

A comprehensive evaluation method for economic collaborative planning evaluation of main distribution network based on rough set and scale extension method

The urban 35kV substation is the link between the main network and the distribution network, and the economic power supply and site selection optimization are the keys to the coordinated planning of the main network and the distribution network. A comprehensive evaluation system is established for collaborative economic planning of the main distribution network from three aspects: social benefit, construction economy, and operation economy, and the combination of scale expansion method and rough set method is applied to determine the combined weight of indicators. Based on this index system, a comprehensive evaluation model for economic coordination planning of an intelligent main distribution network is established. It is applied to the economic effect evaluation of the main distribution network planning of a power supply company and the optimal location selection of substations. The results show that the proposed method is a new evaluation method for power grid collaborative planning. Under the premise of ensuring the economy and reliability of power supply, the collaborative planning level of the main distribution network has been significantly improved, and the planning results are better than the traditional site selection results. It not only expands the evaluation system for coordinated planning of the main network and distribution network but also provides guidance for the planning and construction of the main distribution network.

Collaborative Planning of Community Charging Facilities and Distribution Networks

The construction of community charging facilities and supporting distribution networks based on the predicted results of electric vehicle (EV) charging power in saturation year has resulted in a large initial idleness of the distribution network and a serious waste of assets. To solve this problem, this paper proposes a collaborative planning method for urban community charging facilities and distribution networks. First, based on the load density method and occupancy rate to predict the base electricity load in the community, the Bass model and charging probability are used to predict the community’s electric vehicle charging load. Taking the minimum annual construction and operation costs of the community distribution network as the objective function, the power supply topology of the distribution network for a new community is optimized by using Prim and single-parent genetic algorithms. Finally, the proposed scheme is verified by using the actual community data of a certain city in China as an analysis example, and the scheme of one-time planning of the distribution network and yearly construction of charging facilities is given.

Construction Schedule of Medium Voltage Overhead Distribution Network Optimization Based on Neural Network Algorithm

INTRODUCTION: The medium voltage overhead distribution network is a complex planning problem, and monitoring the construction progress of the medium voltage overhead distribution network is an important aspect of the planning problem. Regarding the structure of the medium voltage overhead distribution network, it is one of the important components in China's distribution network system. If the construction progress of the medium voltage overhead distribution network is optimized, it will affect the normal operation of the entire power grid system in a certain region. Optimizing the construction progress of medium voltage overhead distribution networks using modern development related technologies or algorithms is one of the practical research topics. OBJECTIVES: To better predict various issues that may arise during the construction progress of the distribution network. Complex geographical conditions lead to construction difficulties, and lack of technology leads to frequent stoppages of construction, further leading to frequent power outages in various regions. In terms of the overall power supply system, the reliability of power supply is not high. METHODS: By comparing the BP neural network algorithm with the CNN network algorithm, the actual operation effect is evaluated by experts. RESULTS: This article predicts the implementation progress of the medium voltage overhead distribution network, and the results show that the accuracy of the BP model for predicting the construction progress of the medium voltage overhead distribution network can reach 88%; The accuracy of the CNN medium voltage overhead distribution network construction progress prediction model reaches 77%. CONCLUSION: The use of neural network algorithms to optimize the construction schedule of medium voltage overhead distribution networks has been evaluated by experts in practical applications, and the medium voltage overhead distribution network in power supply systems has potential application value.

Distribution and Ecological Network Construction of National Natural Protected Areas in the Upper Reaches of Yangtze River

The upper reaches are an important part of the Yangtze River Basin. The basin area is large and the terrain is complex, covering nearly all types of terrestrial ecosystems. This study sorts out the information of 313 protected areas in the upper reaches of the Yangtze River and uses morphological spatial pattern analysis, a minimum cumulative resistance model, and geospatial indicators to quantitatively analyze the relationship between population density, per capita gross domestic product, and the pattern of protected areas in combination with regional economic and social conditions. Results show that the number of national forest parks is the largest, accounting for 31.31% of the study area. In the study area, all types of protected areas are concentrated distribution, protected areas in sparsely populated areas that are larger, more densely populated, and more economically developed, and the corresponding number of protected areas is greater. The study area is divided into five regions through the analysis of the corridors of the protected areas: the source area of the Yangtze River National Park, the Hengduan Mountain Ecological Strict Protection Area, the Qinling-Daba Mountain Ecological Protection Area, the Northern Yunnan-Guizhou Plateau Ecological Protection Area, and the Three Gorges Ecological Control Area, forming an ecological network pattern of “one park, four districts, and three rings” in the upper reaches of the Yangtze River.

Calculation Method of Consumption Capacity of Photovoltaic Distribution Network Based on Time Series Production Simulation

Aiming at the problem that the existing calculation methods have a big difference in the calculation results and the actual calculation results, in order to improve the accuracy of the calculation results, the time series production simulation theory is introduced, and the calculation method of the consumption capacity of photovoltaic distribution networks is studied. According to the actual operation of the distribution network, this paper adjusts the power supply pattern of the photovoltaic distribution network; then, this paper checks the frequency regulation capacity of the photovoltaic distribution network; finally, the time series production simulation is introduced to simulate the production of the photovoltaic distribution network with the absorption capacity. The comparative experiment shows that the new calculation method is more accurate than the existing calculation method based on uncertainty optimal power flow, and it can provide a data basis for the planning and construction of photovoltaic distribution networks.

Construction of Marginal Effect Model for Reliability Improvement of Urban Distribution Network

With the development of the social economy in China, China’s power grid is facing severe challenges. In addition to effective supply, the more important thing is to provide the reliability of the power supply for the existing distribution network. The power supply reliability of the distribution network directly affects the safety and reliability of power users, and also relates to the development of power supply enterprises. To realize the safer and more stable operation and development of urban distribution networks, this paper researches the construction of a reliability enhancement marginal effect model of urban distribution networks. By determining the factors that affect the reliability of distribution network operation, the marginal benefit model is selected to construct the index. The specific value of the index and the boundary conditions of the model are set. The reliability improvement marginal benefit curve is analyzed in depth; and finally, the specific value of the reliability index marginal benefit is calculated. The new model is applied to the distribution network in the old urban area of a city, and the relationship between each index and reliability and marginal benefit is clarified. According to the analysis results, the future construction and development direction of the distribution network in the old urban area of the city is fully clarified, and the path scheme of reliability improvement is given according to the degree of urgency. Through the use of the marginal effect model, it can provide a more effective reference for the improvement of national distribution network reliability and the decision-making of distribution network construction planning projects.

Construction scheme of digital active distribution network in Xiong'an new area

Aiming at the problem that the traditional distribution network is difficult to meet the needs of urban development in terms of energy grid, information support and value creation, a new all digital green smart city energy Internet construction scheme is proposed. Through the overall structure, construction ideas and action route of digital active distribution network in Xiong'an new area, an example verifies the role of digitization in realizing the application value-added of power data and the deep reuse of power grid resources, which has important reference value for the construction of new distribution network.

Comparative study on incremental distribution network participation in electricity market between China and foreign countries

Taking the incremental distribution network, an important content in the new round of power system reform in China, as the research goal, this paper combs the background conditions of the emergence of incremental distribution network in China, and refines the three objectives of incremental distribution network reform. At the same time, this paper studies the situation of the world's mainstream distribution network operation countries such as the United States, Britain, and Australi, analyzes the main supervision modes of foreign distribution networks, and analyzes the more mature experience and Enlightenment of foreign distribution network operation. In addition, this paper also studies the development of domestic incremental distribution network, focusing on the comparative study of incremental distribution network in Guangdong, Guizhou, Guangxi, Hainan and Yunnan. By comparing the development of domestic and foreign incremental distribution network participating in the power market, relevant suggestions are put forward for further promoting the construction of incremental distribution network and participating in the power market.

Intelligent power outage information management system based on power internet of things platform

With the new round of distribution network construction, the task of power outage notification is heavy. The issuance of a large number of the notification leads to the high cost of power supply enterprises, and the high rate of power outage notification return also affects the service quality of the enterprises.In this paper, using the intelligent power outage information management system based on the electric power internet of things platform, in allusion to the inaccurate announcements because of the the large amount of power outage information,the untimely announcements caused by the sudden failure outage information and the pain points which affect customer satisfaction,through the power ubiquitous in the Internet of Things big data platform and 5G communication technology,improving the power failure information intelligent analysis and decision - making ability. Through intelligent analysis of power outage information, active identification, information interaction, real-time closed loop and other links, it conforms to the trend of big data in the Internet of Things, strengthens the accuracy and timeliness of power outage information announcement, and improves customer satisfaction[10].

Research on optimization strategy of urban medium voltage direct current distribution network construction considering application scenarios

In the distribution network planning work, taking into account the constraints of funds and construction annual plan, there is always the prioritization problem of multiple MVDC distribution networks. Aiming at the problem, this paper proposes a method for the optimization analysis of MVDC distribution network planning objects. Firstly, a comprehensive evaluation index system of urban MVDC distribution network planning and optimization is established from three aspects of improving power supply reliability and the quality of voltage, MVDC distribution network scenario types and distribution network social benefits. Then, the qualitative indexes are quantified based on the cloud model, and the comprehensive evaluation values of each distribution network are calculated and sorted by the hierarchical additive weighting of Delphi entropy weight method. Taking the maximum comprehensive evaluation value of the scheme as objective function and the annual total investment as constraint, the construction priority of multiple MVDC distribution networks is determined. Finally, taking several distribution networks in Guangzhou, Guangdong Province, China as examples, the simulation results show that the optimal objects of distribution network based on the urban scenario demands are X4, X8 and X1, with the lowest total investment cost of 19,180 yuan, thus verifying the effectiveness of the proposed method.

Planning of Low Voltage Electricity Distribution at Griya Arjuna Kejuden Housing

In a low-voltage power distribution system, there are often disturbances that result in disruption of electricity distribution to customers, resulting in losses for customers and PLN. The problem that often occurs is the occurrence of voltage drops and power losses so that in planning the construction of a low-voltage electric power distribution network, it is necessary to anticipate the occurrence of these problems. This research is expected to be used as a lesson for the creation of a low-voltage electric power distribution network with suitable and environmentally friendly construction and with low investment costs. collected data by visiting the location to conduct a survey and obtain accurate data related to the state of the research location. The stages in planning the Low Voltage Electricity Distribution Network begin with a field survey to obtain the required data. The installed power for each unit is 1.300 VA, so the total installed power is 122,200 VA and the spare power is 5% of the installed power so that the total installed power is 128.310 VA. during peak load times it is estimated that power consumption will only absorb 80% or 97,760VA. The required substation is a Portal Type Pole with a transformator capacity is 160kVA. The total breakdown of the electricity distribution network budget at the Griya Arjuna Kejuden is IDR 382,333,141.