Distributed Battery Coordination for Grid Frequency Balancing
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Solution Overview
Problem
Households and small to medium-sized companies with smaller battery systems face challenges in participating in frequency balancing of the electric grid due to capacity requirements, such as the need for a minimum of 1 MW, which is difficult for individually owned assets to meet.
Innovation Solution
A computer-implemented method for managing a distributed battery arrangement that includes obtaining real-time data on battery assets, selecting and activating them based on capacity and wear profiles to meet frequency balancing requirements, using a centralized coordinator to pool individually owned assets for grid participation, and optimizing their use through priority queues and capacity limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smaller scale battery assets are individually owned and operated, then asset ownership flexibility is improved, but capacity requirement for frequency balancing participation deteriorates (minimum 1 MW required)
Solution Approach 1:
The patent combines multiple individually owned battery assets into a virtual power plant through a centralized coordinator system. The coordinator aggregates the capacity of distributed batteries from multiple owners, enabling them to collectively meet the 1 MW frequency balancing requirement while maintaining individual ownership structures.
Solution Approach 2:
The patent segments the frequency balancing participation into two layers: individual battery assets retain ownership and can participate in energy optimization independently, while the coordinator aggregates them for grid frequency balancing services, allowing simultaneous participation at different scales.
2Reliability
If real time data collection and selection processes are implemented, then frequency balancing participation is improved, but system complexity increases
Solution Approach 1:
The patent introduces a centralized coordinator as an intermediary between individual battery assets and the grid operator. The coordinator collects real-time data from batteries, performs selection algorithms based on capacity and wear profiles, and manages activation for frequency balancing, simplifying the overall system architecture.
Solution Approach 2:
The patent implements real-time data collection from battery assets including state of charge, capacity, and wear profile information. This feedback loop enables the coordinator to dynamically select and activate appropriate batteries for frequency balancing based on current system conditions and grid requirements.
3Reliability
If battery assets are activated for frequency balancing, then grid stability is improved, but battery wear increases
Solution Approach 1:
The patent monitors and responds to changes in battery parameters such as state of charge, capacity degradation, and wear profiles. The coordinator adjusts activation decisions based on these parameter changes, selecting batteries that can provide frequency balancing services while minimizing additional wear through intelligent dispatch strategies.
Solution Approach 2:
The patent implements dynamic selection and activation of battery assets based on real-time conditions. The coordinator continuously evaluates battery availability, capacity, and wear status, adjusting which batteries are activated for frequency balancing to optimize the balance between grid stability provision and wear minimization.
Data Source
AI summary
A computer implemented method for managing a distributed battery arrangement, wherein the arrangement comprises a pool of battery assets (121-125), wherein the battery assets of the pool are individually owned. The method is performed by obtaining real time data relating to current state of the battery assets of the pool, wherein the current state of the battery assets of the pool comprises at least information about capacity and wear profile of the battery assets of the pool; and selecting one or more battery assets from the pool based on the obtained real time data to fulfil a capacity requirement for frequency balancing of electric grid (151).