Distributed Voltage Control via Multi-Agent Bidding
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Solution Overview
Problem
Traditional centralized voltage control methods are inadequate for managing voltage fluctuations in distribution systems with multiple uncertainties and participants, particularly in active power distribution networks with high penetration of renewable energy sources, as they fail to effectively address voltage variations and optimize energy management across multiple microgrids.
Innovation Solution
A quick-response voltage control method utilizing a multiple agent system (MAS) that calculates voltage-power sensitivities through distributed computing and implements an incentive mechanism based on bidding games with imperfect information, allowing microgrids to independently decide strategies for voltage regulation and maximize benefits while providing voltage support to the distribution system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized voltage control methods are used, then voltage control can be implemented, but communication overhead increases and real-time performance deteriorates
Solution Approach 1:
The patent divides the centralized voltage control system into multiple distributed agents, each responsible for local voltage control decisions. This segmentation eliminates the single-point communication bottleneck, reducing communication overhead and enabling parallel processing of voltage control actions across different network segments, thereby improving real-time performance while maintaining control reliability.
Solution Approach 2:
The patent transitions from a single-layer centralized control architecture to a multi-layer distributed architecture involving DSO agents, MG agents, and DER agents operating at different hierarchical levels. This dimensional change in control architecture allows simultaneous local的快速响应 and coordinated system-wide management, resolving the contradiction between communication efficiency and control reliability.
2Reliability
If traditional centralized voltage control methods are used, then voltage control can be implemented, but system complexity increases
Solution Approach 1:
By segmenting the control system into autonomous agents with standardized interfaces, the patent reduces overall system complexity. Each agent handles only local control logic, avoiding the need for a complex centralized controller to manage all details. The modular agent architecture simplifies system design, implementation, and maintenance while ensuring reliable voltage control through coordinated multi-agent operation.
3Productivity
If microgrids participate in voltage control through bidding games, then economic benefits are maximized, but control coordination becomes challenging
Solution Approach 1:
The patent introduces a bidding game mechanism as an intermediary layer between economic incentives and technical control actions. This intermediary translates economic objectives into coordinated control strategies through standardized bidding protocols, allowing microgrids to pursue economic benefits while the system maintains automatic coordination through the game-theoretic framework, reducing direct control coordination complexity.
Data Source
AI summary
The present invention relates to a quick-response voltage control method of distribution systems considering multiple participants, comprising a multiple agent system (MAS), which collects the local information of the distribution system controlled by each agent and interacts with the local information collected by each agent, so that voltage-power sensitivity of the distribution system, used for providing the theoretical basis for voltage regulation, is calculated by distributed calculation; and multiple participants, which establish incentive mechanism by DSOs based on the bidding game with imperfect information, and independently decide their own strategies to obtain the voltage regulation subsidy from the DSOs, according to the calculated voltage-power sensitivities, thus provide voltage support for the distribution system in the process of pursuing benefit maximization.