Virtual Power Plant Dispatch With Integrated Carbon Management
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Solution Overview
Problem
Current virtual power plants do not effectively integrate carbon footprint management, making it difficult to achieve net zero carbon emissions while ensuring economic benefits.
Innovation Solution
A hybrid system and method for distributed virtual power plants that utilize cyber physical agents (CPAs) to collect data, an intelligent central dispatch platform to perform AI-optimized power dispatch, and carbon emission management to ensure net zero carbon emissions and economic benefits through intelligent power trading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current virtual power plants aggregate distributed power resources for economic trading, then power dispatching capability is enhanced, but carbon footprint management is not integrated
Solution Approach 1:
The patent combines the virtual power plant system with carbon footprint management by integrating carbon tracking modules, carbon verification mechanisms, and carbon reduction algorithms into the existing VPP architecture. This merging allows simultaneous optimization of power dispatching and carbon management through a unified control platform that considers both economic and environmental objectives.
Solution Approach 2:
The virtual power plant system is designed to perform multiple functions: traditional power aggregation and trading, carbon footprint tracking, carbon verification, and carbon reduction optimization. This multi-functionality enables the system to address both economic benefits and environmental sustainability without requiring separate dedicated systems.
2Productivity
If virtual power plants participate in power trading free market, then economic benefits are improved, but net zero carbon emission goal is difficult to achieve
Solution Approach 1:
The system implements continuous feedback loops where carbon emission data from power trading activities is monitored, analyzed, and used to adjust dispatching strategies. The carbon verification module provides real-time feedback on emission levels, enabling dynamic optimization of power allocation to minimize carbon footprint while maintaining economic viability through iterative adjustments.
Solution Approach 2:
The system dynamically changes operational parameters such as power dispatching schedules, resource allocation priorities, and trading strategies based on carbon emission thresholds and net zero targets. By adjusting these parameters in response to carbon data, the system optimizes the balance between economic benefits and carbon reduction without sacrificing either objective.
3Productivity
If distributed virtual power plants optimize for economic profit, then enterprise economic benefit is improved, but carbon verification and carbon reduction are not effectively integrated
Solution Approach 1:
The carbon management system is divided into distinct functional modules: carbon data collection from various sources, carbon footprint calculation engines, verification modules that validate emission data, and optimization algorithms that integrate carbon constraints into economic decision-making. This segmentation allows each module to handle specific tasks efficiently while maintaining overall system integration through standardized interfaces.
Data Source
AI summary
Embodiments of the present invention provide a hybrid system and method for distributed virtual power plants integrated intelligent net zero. In this method, a cyber physical agent (CPA) is utilized to collect a carbon emission information and an energy management information, and then an artificial intelligence (AI) optimization model of an intelligent central dispatch platform is utilized to obtain a power dispatch manner of the distributed virtual power plants based on the carbon emission information and the energy management information, such that the power dispatch manner of the distributed virtual power plants meets the requirements of enterprise economic benefits and net zero carbon emissions at the same time.

