Blockchain Energy Management for Grid Balancing
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Solution Overview
Problem
Current transactive energy models rely on centralized control systems, which become complex and inefficient with the rise of micro-energy producers, leading to potential overloads or underloads, and place excessive revenue risk on utilities, while lacking robust decentralized solutions for grid balancing and scalable market systems.
Innovation Solution
A decentralized blockchain-based energy management system, known as the Omega Grid, that uses Locational Marginal Pricing and Security Constrained Economic Dispatch to manage power flow across macro and micro-energy producers and consumers, creating a cyber-secure local market with controllable resources and peer-to-peer trading capabilities, reducing the need for centralized control and promoting micro-energy investments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized control system is used to manage power flow, then grid balancing and optimal power flow can be achieved, but the system becomes complex and inefficient with the rise of micro-energy producers
Solution Approach 1:
The patent divides the centralized control system into multiple distributed nodes (smart meters, energy management systems) that independently perform optimal power flow analysis and grid balancing calculations. Each node processes local energy production and consumption data autonomously, eliminating the need for a single complex centralized control system while maintaining reliable grid balancing through coordinated distributed decision-making.
2Adaptability or versatility
If micro-energy producers are integrated into the grid, then renewable energy capacity increases, but the grid becomes exponentially more complex to manage
Solution Approach 1:
The patent enables micro-energy producers to autonomously manage their own energy production and consumption through distributed energy management systems. Each micro-producer's system automatically performs optimal power flow analysis, determines energy trading strategies, and coordinates with the grid without requiring centralized management intervention. This self-service capability allows extensive integration of renewable energy sources while keeping grid management complexity manageable through autonomous local decision-making.
3Productivity
If current transactive energy models are used, then dynamic balance of supply and demand can be achieved, but revenue risk is placed excessively on utilities
Solution Approach 1:
The patent introduces a distributed ledger technology (blockchain) as an intermediary layer between utilities and micro-energy producers. This intermediary automatically records, verifies, and settles energy transactions according to pre-programmed rules, eliminating the need for utilities to bear revenue risk. The blockchain intermediary ensures transparent and automated settlement of energy trades, maintaining dynamic supply-demand balance while protecting utility revenue stability through rule-based automated enforcement.
4Adaptability or versatility
If decentralized transactive energy models are implemented, then micro-energy production is encouraged, but the system lacks robust control and can result in overloads and under-loads
Solution Approach 1:
The patent implements real-time feedback mechanisms where each distributed node continuously monitors grid conditions (power flow, voltage, frequency) and adjusts its energy production and consumption accordingly. The optimal power flow analysis performed at each node incorporates real-time grid state information, enabling micro-energy producers to dynamically adjust their operations to maintain grid stability. This distributed feedback control system prevents overloads and under-loads while encouraging extensive micro-energy production.
Data Source
AI summary
A cyber-secure local electrical power market for a power grid with a utility operator transmitting power where a group of participating nodes within the distribution network operate together through respective computers on a blockchain architecture. The participating nodes have controllable resources with controllers in operative communication within the blockchain architecture, such as controllable generators and controllable loads. Decentralized market software operates on computers within the blockchain architecture and shares blockchain datasets that include financial information associated with the controllable resources and operating states of the grid. One or more of the computers in the blockchain architecture calculates Locational Marginal Pricing (LMP) across the participating nodes according to the set of financial information and determines a set of energy service orders corresponding to LMP for the controllable resources to change their operating states. The computers also preferably calculate an energy balance with the transmission system in determining the energy service orders.