DCOM Digital Simulation System for Power Distribution Network
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Solution Overview
Problem
Current digital simulation systems for power distribution networks are limited in functionality, accuracy, and scalability, failing to comprehensively cover the complex and dynamic nature of modern power distribution networks, leading to inefficient operation and increased economic losses due to power outages.
Innovation Solution
A DCOM-based digital simulation system that includes a simulation server cluster, clients connected via a communication bus, and a layered architecture for data extraction, encapsulation, and service provision, enabling real-time simulation of power flow, reliability assessment, and optimization of reactive power compensation, while implementing distributed calculation and parallel processing to improve throughput and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional simulation system is used for power distribution networks, then the system structure is simple, but the simulation accuracy and functionality are insufficient to handle complex network changes and large-scale grids
Solution Approach 1:
The simulation system is divided into multiple independent simulation nodes, each responsible for specific network segments. This segmentation allows the system to handle large-scale complex networks by processing them in manageable portions, improving simulation accuracy while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system transitions from traditional single-node simulation to a multi-dimensional distributed simulation architecture. By adding the dimension of network distribution and introducing a coordination manager, the system achieves higher simulation accuracy for complex networks without proportionally increasing local node complexity
2Area of stationary object
If the power distribution network scale is continuously expanded to meet increasing electricity demands, then the network coverage is improved, but the control and analysis complexity increases significantly
Solution Approach 1:
The simulation system segments the large-scale network into multiple manageable simulation nodes, each handling a specific portion of the network. The coordination manager orchestrates these nodes, enabling the system to analyze expanded networks without overwhelming complexity at any single node
Solution Approach 2:
The simulation nodes are designed with universal interfaces and standardized protocols that allow them to handle various network configurations and analysis tasks. This multi-functionality enables the system to accommodate network expansion while maintaining consistent control and analysis capabilities across different network scales
3Adaptability or versatility
If distributed power supplies are massively accessed to improve energy diversity, then the energy structure is optimized, but the network connection diversity and operation complexity increase
Solution Approach 1:
The simulation system incorporates dynamic modeling capabilities that can adapt to various network connection configurations and operation modes. The simulation nodes dynamically adjust their behavior based on the specific distributed power supply connections and operational conditions, enabling diverse energy structures without fixed complex wiring
Solution Approach 2:
The system uses parameter-based modeling where distributed power supplies are represented by adjustable parameters rather than fixed physical connections. This allows the simulation to accommodate diverse energy sources and connection configurations by changing parameters rather than reconfiguring the entire network structure
4Productivity
If real-time simulation is implemented to improve response speed, then the calculation throughput is improved, but the computational resource consumption increases
Solution Approach 1:
The computational workload is segmented across multiple simulation nodes, each performing localized calculations for specific network segments. This segmentation enables parallel processing that improves overall throughput while distributing computational resource consumption rather than concentrating it at a single resource-intensive node
Solution Approach 2:
The system performs preliminary calculations and pre-computes certain simulation results that can be reused or referenced during real-time operation. This preliminary action reduces the computational burden during actual real-time simulation, improving throughput while lowering peak resource consumption requirements
Data Source
AI summary
A digital simulation system of a power distribution network, comprising: a client and a server end. The server end is a simulation server cluster composed of several simulation servers; the simulation server cluster and the client are mutually connected through a communication bus, wherein the client is configured to use a DCOM component to invoke a simulation service provided by the server end, and the server end is configured to distribute a task to be processed to each cluster node. Constructing the above-mentioned digital simulation system facilitates an optimal planning and operation of a smart power distribution network, thereby improving the utilization efficiency and reliability of the smart power distribution network and reducing the loss of a power outage.