Power IoT Dispatch Using Transition Matrices for Distributed Cost Control
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Solution Overview
Problem
Conventional centralized dispatch solutions in energy Internet face challenges with increasing distributed energy resources, leading to communication congestion and potential system failures, and are inefficient in integrating cost information from massive intelligent terminal nodes.
Innovation Solution
A distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix, which involves setting marginal cost functions for generators, extracting key cost parameters, establishing an optimization model, and solving for an optimized transition matrix to perform distributed dispatch.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centralized dispatch solution is used, then system control is simplified, but communication congestion and system failure risk increase with distributed energy resources
Solution Approach 1:
The patent divides the centralized dispatch system into multiple distributed control nodes that operate autonomously. Each node processes local cost information and makes independent dispatch decisions, eliminating the single-point bottleneck and reducing communication congestion while maintaining simplified control through standardized interaction protocols.
Solution Approach 2:
The patent introduces a distributed accounting system as an intermediary that coordinates between generators and loads without requiring direct centralized control. This mediator handles cost information exchange and settlement, enabling reliable distributed operation while preserving system-wide coordination.
2Reliability
If distributed dispatch is implemented, then system reliability improves, but communication and coordination complexity increases
Solution Approach 1:
The patent transforms the dispatch problem by changing the key parameter from centralized control commands to distributed cost information exchange. By using marginal cost as the primary communication parameter between nodes, the system achieves reliable distributed operation with minimal coordination overhead, as each node independently processes cost signals to determine optimal power exchange.
3Loss of information
If all terminal node information is collected centrally, then comprehensive cost integration is achieved, but information leakage and processing inefficiency increase
Solution Approach 1:
The patent extracts only the essential cost information (marginal cost and cost function parameters) from terminal nodes rather than collecting all detailed operational data. This selective extraction achieves sufficient cost integration for optimal dispatch while dramatically reducing communication overhead and processing requirements at the central node.
Solution Approach 2:
The patent enables each distributed node to independently process its own cost information and make local dispatch decisions. Nodes self-determine their optimal power exchange based on local cost functions and received price signals, eliminating the need for centralized processing of all terminal information while still achieving system-wide cost optimization.
Data Source
AI summary
The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S1, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S2, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S3, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.