Inferensys

Glossary

Hierarchical Control

A multi-layer control architecture for microgrids that separates time-sensitive primary regulation from slower secondary optimization and tertiary economic dispatch functions.
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MICROGRID ARCHITECTURE

What is Hierarchical Control?

A multi-layer control architecture for microgrids that separates time-sensitive primary regulation from slower secondary optimization and tertiary economic dispatch functions.

Hierarchical control is a structured, multi-level automation framework that decomposes microgrid management into distinct temporal and functional layers. By separating primary control (millisecond-level voltage and frequency regulation), secondary control (second-level restoration of nominal setpoints), and tertiary control (minute-level economic dispatch and grid interaction), the architecture ensures stability without overwhelming communication networks with real-time data.

This layered approach enables plug-and-play interoperability of distributed energy resources by assigning local decision-making authority to the lowest level while reserving global optimization for higher tiers. It is foundational to the IEEE 2030.7 standard for microgrid controllers, allowing facility managers to maintain seamless islanding transitions and optimize energy costs without compromising the fast transient response required for system protection.

ARCHITECTURE

Core Characteristics of Hierarchical Control

Hierarchical control decomposes microgrid management into distinct temporal and functional layers, ensuring stability, economic optimization, and grid-code compliance.

01

Primary Control: Droop & Inertia

Operates on the millisecond to second timescale. This layer provides immediate, decentralized stabilization of voltage and frequency without requiring communication links. It relies on droop control characteristics embedded in inverters and governors to autonomously share real and reactive power imbalances. In inverter-dominated microgrids, virtual inertia emulates the physical rotating mass of synchronous generators to slow the rate of change of frequency (RoCoF) during disturbances.

02

Secondary Control: Restoration

Operates on the seconds to minutes timescale. This centralized or distributed layer corrects the steady-state errors in frequency and voltage introduced by primary droop control. It restores the system frequency to its nominal value (e.g., 50 Hz or 60 Hz) and manages the State of Charge (SoC) of battery energy storage systems to ensure sustained reserve capacity for future islanding events.

03

Tertiary Control: Economic Dispatch

Operates on the minutes to hours timescale. This optimization layer manages power flow between the microgrid and the main utility grid based on economic signals. It solves the Optimal Power Flow (OPF) problem to minimize operational costs, maximize renewable self-consumption, or participate in wholesale energy markets. It sets the power references for secondary controllers.

04

Temporal Decoupling

A fundamental design principle where control bandwidths are strictly separated to prevent instability. Primary control acts instantly, secondary control acts deliberately, and tertiary control acts economically. This prevents a slow economic optimizer from interfering with a fast frequency response. IEC 61850 GOOSE messaging is often used for the fast, peer-to-peer communication required at the secondary level.

05

Grid-Forming vs. Grid-Following

Hierarchical control logic differs fundamentally based on inverter type. Grid-forming inverters establish the voltage and frequency reference, acting as the master in islanded mode. Grid-following inverters act as slaves, injecting current in sync with the established reference. The secondary controller coordinates the transition between these modes during seamless reconnection to the main grid.

06

Resilience & Black Start

Hierarchical control enables intentional islanding and black start capability. Upon detecting a grid outage, the controller disconnects via a static transfer switch, sheds non-critical load, and re-establishes the local grid using a grid-forming resource. It then sequentially reconnects loads and synchronizes with the main grid once stable utility power is restored.

HIERARCHICAL CONTROL CLARIFIED

Frequently Asked Questions

Clear, technically precise answers to the most common questions about multi-layer microgrid control architectures, separating primary regulation from economic dispatch.

Hierarchical control is a multi-layer automation architecture that decomposes microgrid management into distinct temporal and spatial domains to ensure stability, optimize power quality, and minimize operational costs. It separates the fast-acting primary control (milliseconds), which handles local voltage and frequency regulation via droop characteristics, from secondary control (seconds to minutes), which corrects steady-state deviations caused by primary actions. A tertiary control layer (minutes to hours) manages economic dispatch and power flow optimization with the main grid. This decoupling prevents conflicts between instantaneous stability requirements and slower economic objectives, allowing each layer to operate with appropriately scoped data and control bandwidth.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.