EMS for Solar PV Optimization & Intelligent Grid Control
An advanced 5-day masterclass covering hierarchical control architectures, algorithmic load-shedding, predictive dispatch mechanics, and the deployment of intelligent Energy Management Systems (EMS).
Technical Standards Focus
IEEE 2030.7-2017 (Microgrid Controllers), IEC 61850 (Substation Automation), Modbus TCP/IP, OpenADR 2.0, and EPRA Grid Stability & Demand-Side Management Frameworks.
Course Curriculum
Deconstruct core EMS topography, defining data paths and functional logic required to coordinate assets in modern power systems.
Module 1: Hierarchical Controls (Primary, Secondary, Tertiary)
- Millisecond-range local inverter loops (Primary loops) vs. coordinated system dispatch.
- Secondary central controllers: Managing steady-state voltage and frequency variations.
- Tertiary macro-grid integration: Interfacing with utility SCADA via utility dispatch protocols.
Module 2: EMS Hardware Topography & Edges
- Centralized vs. Distributed EMS architectures in Commercial & Industrial (C&I) networks.
- Edge controllers, RTUs (Remote Terminal Units), and high-speed data acquisition loops.
- Fail-safe engineering: Local automation overrides during primary communications loss.
Configure data interoperability standards across multi-vendor industrial field assets.
Module 3: Industrial Protocol Deep Dive
- Mapping Modbus TCP/RTU registers for complex solar inverters and meteorological data stations.
- DNP3 (IEEE 1815) configuration profiles for secure utility telemetry links.
- IEC 61850 object model implementations within modernized substation automation loops.
Module 4: Real-Time SCADA Orchestration
- Developing high-performance HMI layouts for optimal situational awareness.
- Alarm management architectures and event historian configurations.
- Cybersecurity measures for operational data handling: Network segmentation and firewall isolation.
Program dynamic logic patterns to maximize solar performance while coordinating energy storage.
Module 5: Dynamic Peak-Shaving & Load Management
- Algorithmic control steps for active peak-shaving during maximum utility demand pricing.
- Intelligent load-shedding configurations for critical, prioritized, and non-essential industrial circuits.
- Coordinating Demand Response events via OpenADR 2.0 communication profiles.
Module 6: Coordinated PV + BESS Dispatch Logic
- State-of-Charge (SoC) balance loops designed to minimize battery structural wear.
- Ramp-rate control routines to smooth variable clouds and generation changes.
- Executing seamless transition logic: Dynamic grid tie-ins to grid-isolated islanding states.
Align automated control actions with modern network grid codes and technical regulatory mandates.
Module 7: Ancillary Control Frameworks
- Programming automatic voltage regulation (AVR) and reactive power injection loops ($Q$-$V$).
- Frequency support automation ($P$-$f$ droop loops) configured for localized industrial network stability.
- Automated active power curtailment patterns under emergency utility dispatch scenarios.
Module 8: Local Network Regulatory Compliance
- Meeting strict utility protection boundaries: Anti-islanding algorithms and reverse-power prevention.
- Evaluating localized utility distribution parameters under Kenya's Grid Code framework.
- Data archiving parameters for mandatory regulatory power quality auditing profiles.
Leverage smart intelligence structures to maximize system efficiency and complete complex live operational simulations.
Module 9: AI-Driven Predictive Optimization
- Integrating machine learning solar generation models with day-ahead EMS operational scripts.
- Adaptive load prediction profiles designed to adjust real-time microgrid battery reserves.
- Multi-parameter optimization targeting maximum operational cost reduction.
Module 10: Capstone Practical Simulation Lab
- 📋 Live Simulation Framework:
- Configuring control parameters for an intelligent EMS coordinator on a 15 MW commercial hybrid grid.
- Participants will design communication registries, structure automatic load-shedding tables, and debug active reverse-power safety overrides.
🚀 Advanced Learning Outcomes
By the end of this 5-day course, participants will be able to:
- ✔ Design hierarchical EMS schemes separating high-speed local control from system-wide dispatch routines.
- ✔ Build inter-device automation profiles utilizing Modbus TCP, DNP3, and IEC 61850 protocols.
- ✔ Formulate automatic peak-shaving and safety load-shedding algorithms.
- ✔ Implement voltage and frequency controls satisfying utility grid stability limits.
- ✔ Optimize overall financial performance using predictive generation forecasting modules.
Ready to master intelligent EMS control?
Corporate team registration and custom training slots are now open.