Active Network Management: Unlocking the Potential of Modern Electricity Grids

11Nov

Active Network Management: Unlocking the Potential of Modern Electricity Grids

As power networks evolve with more decentralised generation, electric vehicles, storage systems, and flexible demand, the ability to control and optimise the grid in real time becomes essential. Active Network Management (ANM) sits at the heart of this transformation. It is a set of strategies, tools, and processes designed to manage network constraints actively rather than reactively, enabling higher throughput, improved reliability, and smarter use of assets. This comprehensive guide explores what Active Network Management is, how it works, where it fits in today’s energy landscape, and what organisations should consider when planning an implementation.

What is Active Network Management?

Active Network Management, often abbreviated as ANM, refers to the proactive orchestration of power flows on the electrical network. Instead of simply relying on passive installation and static ratings, ANM uses real-time data, advanced optimisation algorithms, and communication with generation and consumption assets to prevent or alleviate constraint situations. In practice, this means that network operators can permit more distributed energy resources (DERs) to connect to the grid while maintaining voltage, thermal, and stability limits. The approach blends communications, information technology, and electrical engineering to deliver dynamic constraints management in near real time.

In some discussions you may encounter the term Active Network Optimisation, or network management system (NMS) framed within an active paradigm. The core idea remains the same: transform passive networks into actively managed systems capable of adapting to changing conditions. For clarity, this article uses the term Active Network Management throughout, with occasional references to ANM as a shorthand.

Origins and evolution of ANM

Active Network Management emerged from the need to integrate increasing levels of renewable generation and storage without compromising safety or reliability. Early grids relied on conservative planning and limited DER connections to avoid congestion. As solar, wind, and battery storage expanded, operators required a method to coordinate resource deployment and curtailment intelligently. ANM grew from advances in sensor technology, telemetry, customer-side resources, and optimisation software. The result is a governance framework that can handle variability, bidirectionality of power flows, and fast-changing conditions on the network.

Over time, ANM has matured from a niche capability on large networks into a widely deployed approach across distribution networks, microgrids, and hybrid systems. The modern ANM toolkit typically includes real-time monitoring, constraint enforcement, asset protection, and market-based or priority-driven dispatch logic. Its evolution has been shaped by regulatory reforms, interoperability standards, and the need for clearer cost-benefit pathways for network operators and customers alike.

How Active Network Management works

At its core, Active Network Management coordinates equipment and resources to keep the grid within operational limits while maximising the utilisation of available assets. The architecture combines sensing, communication, and control with sophisticated optimisation engines. The principal elements of ANM include:

Real-time monitoring and telemetry: Sensors, smart meters, phasor measurement units, and remote terminal units provide data on voltage, current, frequency, and other critical parameters.
Asset modelling and network topology: A digital representation of the grid, including lines, transformers, DERs, and network constraints, allows the ANM system to simulate the impact of different operating scenarios.
Constraint management engine: The optimiser evaluates feasible operating states that respect thermal, voltage, and stability limits, making decisions on the feasible set of actions to take.
Asset control and communication: Commands are sent to controllable resources—such as tap changers, on-load tap changer devices, capacitor banks, inverter-based DERs, and demand response signals.
Policy framework and negotiation: Operators define policies for prioritising services, managing congestion, and procuring flexibility from customers or market participants.
Cybersecurity and data governance: Security measures protect data integrity and ensure safe remote control of equipment.

The interplay of these components enables ANM to respond to contingencies rapidly, optimise power flows, and reduce the risk of constraint violations even as the generation mix changes throughout the day.

Key benefits of Active Network Management

Adopting Active Network Management brings a range of advantages for network operators, energy suppliers, and customers. Among the most important benefits are:

Increased hosting capacity: More DERs can connect to the grid without compromising reliability, thanks to dynamic reallocation of flows and targeted control actions.
Improved reliability and resilience: Real-time constraints management helps prevent outages and reduces the likelihood of network interruptions in the face of variability.
Optimised asset utilisation: ANM can defer or avoid expensive network reinforcements by smarter operation of existing equipment and resources.
Greater flexibility for customers: Aggregators and participants gain visibility and control over how their assets contribute to grid balance and voltage support.
Enhanced voltage and frequency stability: Proactive management supports stable network operation under high DER penetration or during peak demand periods.
Improved integration of storage and EV charging infrastructure: Storage and charging strategies can be aligned with network constraints to reduce peaks and improve efficiency.
Regulatory readiness and market alignment: ANM provides a framework for refined investment planning and better alignment with evolving market rules and incentive schemes.

Applications and use cases for ANM

Active Network Management is versatile and can be deployed across a range of contexts. Common use cases include:

Distribution networks with high DER penetration: ANM helps manage substation constraints as distributed generation increasingly contributes to local supply.
Microgrids and campus networks: In microgrids, ANM coordinates generation, storage, and load to maintain islanding capability and optimal island operation.
Rural networks with limited infrastructure: Constraint management can maximise resource use without costly line upgrades.
Network resilience initiatives: Real-time control supports rapid response to faults, sustaining critical loads during disturbances.
Energy storage integration: Coordinated charging and discharging optimise grid benefits and reduce network stress.
Dynamic tariff and demand-side response programs: ANM-enabled devices can participate in price-based or incentive-driven programmes to shape demand.

Implementation considerations for ANM projects

Deploying Active Network Management requires careful planning, cross-disciplinary collaboration, and a practical understanding of the local network context. Key considerations include:

Technical architecture and integration

Successful ANM projects depend on a robust technical framework. Consider:

Choosing an ANM platform with strong interoperability, open data interfaces, and scalable performance to accommodate future DER growth.
Ensuring seamless integration with existing SCADA, EMS, DMS, and asset management systems to avoid data silos and duplication.
Designing a modular architecture that separates data acquisition, analytics, and control modules to simplify maintenance and upgrades.
Implementing redundant data pathways and failover strategies to maintain operations during communication disturbances.
Adopting a phased deployment approach that allows gradual expansion from a pilot area to the wider network.

Data governance, quality, and cybersecurity

ANM relies on timely, accurate data. Plan for:

Data quality controls and validation to ensure reliable operating decisions.
Secure communication protocols, authentication mechanisms, and access controls for devices and operators.
Regular security assessments and adherence to best practices for industrial control systems.
Clear data ownership, retention policies, and compliance with privacy and market rules.

Interoperability and standards

Standards play a crucial role in making ANM future-proof. Look for:

Open communication standards that facilitate integration with diverse DER types and suppliers.
Industry frameworks for data models and exchange formats to maintain consistency across devices and platforms.
Guidelines for testing and certification to ensure reliability of control actions under diverse conditions.

Commercial models and value streams

Assessing the economics of ANM involves understanding both capital expenditure and ongoing operating costs, as well as the value created through increased hosting capacity, reduced outages, and deferred reinforcements. Consider:

Aclear business case linking project costs to tangible benefits such as avoided network upgrades and improved reliability.
Potential revenue streams from participating DERs and demand response providers.
Longer-term financial implications, including depreciation cycles and maintenance commitments.

Challenges and risks in Active Network Management

No technology is without challenges. When implementing Active Network Management, organisations should plan for:

Complexity of control: Coordinating numerous DERs and devices requires sophisticated logic and comprehensive testing to prevent instability or unintended interactions.
Data latency and quality: Delays or degraded data can undermine the effectiveness of ANM and risk wrong decisions.
Cybersecurity posture: Remote control of network devices necessitates robust security measures to guard against cyber threats.
Regulatory alignment: Policies may require transparent reporting, performance metrics, and fairness in access to network capacity.
Asset wear and lifecycle impact: Frequent control actions can affect equipment lifecycle and maintenance planning.

Regulatory context and standards for ANM

Regulators across the world recognise the value of active, data-driven network management as grids evolve. Key considerations often include:

Requirements for visibility and reporting on network constraints, outages, and utilisation of hosting capacity.
Standards encouraging interoperability and reuse of shared platforms by multiple market participants.
Guidance on cybersecurity, incident response, and resilience for critical infrastructure.
Rules governing access to flexibilitiy services from DERs and the equitable treatment of participants in the market.

Best practices for a successful ANM rollout

To maximise the chances of a successful Active Network Management deployment, organisations should follow a structured approach that emphasises governance, engineering discipline, and stakeholder engagement. Practical steps include:

Define clear objectives: Establish what the project aims to achieve—whether it is to unlock hosting capacity, improve reliability, or defer network upgrades—then align metrics and incentives accordingly.
Start with a pilot area: Test ANM concepts in a controlled zone to build confidence, validate models, and refine operating procedures before scaling up.
Engage stakeholders early: Involve network operators, asset owners, DER developers, and regulators in the planning phase to clarify roles and expectations.
Prioritise data governance: Invest in data quality, latency, and security from day one to avoid later rework and vulnerabilities.
Adopt a modular, scalable design: A flexible architecture facilitates future enhancements, new DER types, and changing regulatory requirements.
Develop training and operating playbooks: Ensure operators have clear procedures for normal operation and contingencies, reducing reliance on ad hoc decisions.

Future trends in Active Network Management

As the energy landscape shifts further toward decentralisation and digitalisation, ANM is likely to become more capable and widely adopted. Anticipated trends include:

Greater use of advanced AI and machine learning: Enhanced predictive analytics and adaptive control to anticipate constraints before they arise and optimise asset use in real time.
Deeper DER orchestration: ANM will coordinate an ever-expanding mix of solar, wind, storage, and demand-side resources, including electric vehicle fleets and smart appliances.
Standards-led interoperability: Common data models and open protocols will reduce integration costs and accelerate deployment across regions and operators.
Resilience-focused capabilities: ANM will expand to support islanding, microgrid operation, and rapid restoration strategies after faults or outages.
Market-ready flexibility: Clear frameworks for remunerating flexibility providers will help unlock new revenue streams and accelerate the transition to low-carbon grids.

Case studies: lessons from practice

While every grid has its unique characteristics, several common lessons emerge from real-world ANM deployments:

Importance of realistic modelling: Models that over-simplify network physics can lead to ill-informed decisions. Always validate models with historical data and controlled tests.
Value of phased deployment: A staged rollout reduces risk and builds operator confidence as capabilities expand from limited circuits to broader networks.
Need for clear performance indicators: Define KPIs such as increased hosting capacity, reduced constraint events, or percentage of DERs served without upgrades to quantify success.
Management of expectations: Communicate what ANM can and cannot do, including how often actions are triggered and under what conditions.

Practical roadmap to implement Active Network Management

For organisations ready to begin the journey, the following roadmap provides a practical framework for planning, execution, and ongoing improvement:

Strategic alignment: Confirm how ANM supports your organisation’s objectives, regulatory requirements, and long-term grid plans.
Asset and network assessment: Map DER connections, current constraints, and potential hosting capacity improvements to prioritise implementation zones.
Technology selection: Choose an ANM platform with robust analytics, control capabilities, security features, and an open interface ecosystem.
Data strategy: Establish data flows, quality checks, and cybersecurity posture; plan for scalable telemetry and storage needs.
Pilot design: Define scope, success criteria, and a controlled testing environment to validate control strategies and operator workflows.
Deployment and integration: Roll out in stages, integrating with existing SCADA/EMS/DMS systems and ensuring interoperability with DERs and market platforms.
Operational readiness: Train staff, publish playbooks, and establish governance structures to sustain performance and adaptability.
Continuous improvement: Monitor outcomes, refine models, and scale the solution as DERs proliferate and market rules evolve.

Common myths about Active Network Management debunked

As with many advanced grid technologies, several misconceptions persist. Here are a few cleared up:

Myth: ANM replaces the need for network reinforcements.
Reality: ANM can delay costly upgrades by optimising existing assets and accommodating more DERs, but it does not eliminate all infrastructure needs.
Myth: ANM is only about software.
Reality: It is a holistic approach combining software, sensors, control devices, cyber security, people, and processes.
Myth: ANM is only relevant for large utilities.
Reality: Smaller utilities, microgrids, and campus networks can benefit, particularly where DERs are dense or where resilience is a priority.

Choosing the right partner for ANM projects

Implementing Active Network Management successfully often depends on selecting partners with proven expertise in software platforms, grid physics, and operations. Consider:

Experience in similar regulatory environments and grid architectures.
A track record of delivering secure, scalable, and maintainable solutions.
Strong customer support, ongoing development commitments, and a clear roadmap for future enhancements.
Compatibility with existing investment plans, timing constraints, and budget realities.

Conclusion: the strategic value of Active Network Management

Active Network Management represents a fundamental shift in how we operate modern electricity networks. By combining real-time data, advanced optimisation, and coordinated control of DERs, ANM increases hosting capacity, enhances reliability, and unlocks new avenues for customer participation in the energy transition. While challenges exist—chief among them data quality, cybersecurity, and the need for skilled operators—a carefully planned, phased approach can deliver tangible benefits and position organisations to capitalise on evolving market structures and regulatory expectations.

As grids continue to evolve, ANM is not merely a technical upgrade; it is a strategic enabler for a cleaner, more flexible, and resilient energy future. By embracing Active Network Management, utilities, regulators, and customers can collaborate to optimise the balance between generation and consumption, maximise asset value, and deliver reliable power in an increasingly dynamic landscape.