Energy
Advanced Imbalance Management in Electricity Transmission
The theoretical case study below illustrates Enhansa’s innovative ‘low code’ approach, shifting logic from hard-coded scripts to configurable elements for a more dynamic system. This flexible strategy, focusing on semantic data, allows for easier adaptation to business and regulatory changes. While custom development may still be needed for system integrations, Enhansa’s building blocks enable effortless core logic modification, making it a robust solution for businesses aiming to stay agile.
Problem
Energy Transmission and Distribution
Scenario
Optimising Imbalance Settlements for Transmission System Operators (TSOs)
Objective
Demonstrating Enhansa’s advanced capabilities in managing and settling grid imbalances for TSOs, with a specific focus on Balance Responsible Parties (BRPs)
Problem context
Transmission System Operators face complexities in real-time balancing of the electricity grid, especially with the involvement of multiple Balance Responsible Parties (BRPs)
Pain points
Difficulty in continuous tracking and calculation of imbalance positions for numerous BRPs.
Challenges in differentiating frequent small-scale transaction settlements from larger, periodic settlements.
Compliance with regulatory frameworks like ENTSO-E and adherence to specific market rules for imbalance pricing.
Solution
Implementation of a sophisticated real-time imbalance management and settlement system
Real-time monitoring and adjustment of grid imbalances involving BRPs
Distinct handling of frequent micro-transactions and larger periodic settlements
Automated calculations in line with ENTSO-E guidelines and local grid codes
Custom N3 Integration
Enhansa’s Innovative Approach in Energy Management
Approach and Implementation
Technology utilised
Enhansa components:
PLIE. Policy and Logic Interpretation Engine, consisting of EYE Reasoner and Notation3 (N3)
CSE. Clearing and Settlement Engine
Hypothetical strategy
Seamless integration with TSO’s energy management systems and BRP interfaces
Custom N3 rules to handle both micro-transaction settlements and periodic aggregate settlements
Example of N3 Logic Code
Rule for Micro-Transaction Settlements
@prefix grid: <http://example.org/grid#> .
@prefix brp: <http://example.org/brp#> .
{
?transaction a grid:MicroImbalanceTransaction;
grid:timestamp ?time;
grid:brp ?brp;
grid:imbalanceVolume ?volume.
grid:smallTransactionThreshold ?threshold.
FILTER (?volume < ?threshold)
} => {
?brp brp:recordMicroTransaction ?transaction.
}.
Rule for Periodic Aggregate Settlements
{
?brp a brp:BalanceResponsibleParty;
brp:aggregateImbalanceVolume ?totalVolume;
brp:settlementPeriod ?period.
FILTER (?period = "Monthly")
} => {
?brp brp:issueAggregateSettlementInvoice ?totalVolume.
}.
Practical Example
Micro-Transaction
Input
An imbalance transaction of 2 MWh by BRP at a specific timestamp
Output
The transaction is recorded under micro-transactions for the respective BRP
Aggregate Settlement
Input
Total monthly imbalance volume for a BRP
Output
Issue a monthly aggregate settlement invoice for the total imbalance volume
Empowering Energy Management
Enhansa’s Impact on Energy Grid Management
Expected Results
- Precise real-time imbalance management with immediate micro-transaction settlements
- Efficient handling of monthly aggregate settlements, improving financial operations for BRPs
- Full compliance with ENTSO-E standards and local regulatory requirements
Advanced Metrics for Success
- 99% accuracy in real-time imbalance position calculations
- Significant reduction in administrative overhead for monthly settlements
- Enhanced BRP satisfaction due to transparent and efficient settlement processes
Optimize Your Grid: Enhansa’s Solutions for TSOs & BRPs
This enhanced case study, incorporating specific terminology and scenarios from the energy transmission industry, showcases how Enhansa’s sophisticated solutions can address the intricate challenges faced by TSOs and BRPs in grid imbalance management