Grid solutions
N-SIDE helps system operators make optimal decisions by providing AI software solutions, from system planning to the control room of the future.
Power exchange solutions
Seamlessly match supply and demand in challenging electricity markets. N-SIDE is the trusted provider of auction-based electricity market clearing algorithms.
Forecasting
N-SIDE uses machine learning to produce a variety of forecasts for system operators, including system imbalance forecast, reserve needs forecast and congestion risk forecast.
Optimize Grid Management & Remedial Actions, Tailored for a Greener Future
Power Matching
This robust market clearing algorithm matches supply and demand bids in a closed-gate auction fashion, considering potential congestion and other constraints.
Outage Planning Optimization
Leverage advanced analytics to determine the optimal strategy and daily schedule for grid interventions and related outages.
Dynamic Reserves Dimensioning
TSOs: dynamically adapt reserves volume based on the real imbalance risk faced by the system using machine learning and advanced analytics.
Remedial Action Optimization
Reconfigure your topology and find the optimal remedial actions to operate your network more reliably, efficiently and economically
Professional Services
Whether your challenge can be solved by our existing products or requires the development of new analytics solutions and market design approaches, our team is ready to help.
Resources
The latest insights from N-SIDE
N-SIDE
The increasing complexity of balancing power systems is driven by the rising share of renewable energy and the electrification of mobility and industry, leading to greater uncertainty in real-time generation and demand. In Europe, the integration of power markets and the cross-zonal procurement of ancillary services are anticipated to enhance operational security and economic efficiency, which are critical for system operators. While platforms like MARI and PICASSO are operational, experience with cross-zonal balancing capacity services remains limited, primarily seen in initiatives like the "FCR Cooperation" and a few cross-border efforts in the Nordic region and between Germany and Austria.
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This whitepaper examines the benefits and challenges of cross-zonal balancing capacity procurement, covering aspects such as market efficiency, price formation, algorithmic scalability, and IT governance. The discussion draws on N-SIDE's extensive experience in ancillary service procurement, particularly through projects like the Enduring Auction Capability Market Design for NESO and the Co-optimization Roadmap Study for the SDAC and SIDC Market Coupling Steering Committee. |
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The paper explores the optimal allocation of cross-zonal balancing capacity, focusing on the need for effective allocation of transmission and generation assets for energy and balancing services. It also addresses the critical issue of pricing and provides concluding remarks on market design considerations.
