The Resilient and Renewable Grid: How Microgrids Are Revolutionizing Energy Systems Course

Lesson 1 • The Case for Distributed Energy

Presents the economic, environmental, and resilience drivers pushing energy systems toward decentralisation. Sets the strategic context for all subsequent microgrid content.

Lesson 2 • Grid Reliability Metrics and Standards

Introduces reliability indices such as SAIDI, SAIFI, and CAIDI used to measure outage performance. Links these metrics to the business case for distributed energy solutions.

Lesson 3 • Vulnerabilities of Centralised Infrastructure

Analyses physical, cyber, and weather-related failure modes of large-scale grid infrastructure. Motivates the need for distributed, islanding-capable energy systems.

Lesson 4 • How the Centralised Grid Works

Covers generation, transmission, and distribution layers of the bulk power system. Provides the baseline architecture students must understand before examining microgrid alternatives.

Lesson 1 • Generation Assets in Microgrids

Covers solar PV, wind, diesel generators, and combined heat and power units as microgrid generation sources. Explains how each asset contributes to energy balance.

Lesson 2 • Energy Storage Technologies

Examines lithium-ion, flow, and emerging battery chemistries alongside thermal and flywheel storage. Connects storage selection to microgrid performance requirements.

Lesson 3 • Power Electronics and Inverters

Explains the role of inverters, converters, and power conditioning equipment in AC and DC microgrids. Highlights how power electronics enable seamless mode transitions.

Lesson 4 • Loads and Demand-Side Assets

Categorises critical, controllable, and deferrable loads and their roles in microgrid energy balance. Introduces demand response as an active microgrid resource.

Lesson 1 • Control Hierarchy Overview

Introduces primary, secondary, and tertiary control layers and their time scales. Establishes the framework for understanding all subsequent control strategies.

Lesson 2 • Microgrid Energy Management Systems

Covers the software layer that optimises dispatch, forecasting, and scheduling across microgrid assets. Links EMS functions to cost minimisation and resilience objectives.

Lesson 3 • Droop Control and Frequency Regulation

Explains droop control as the primary mechanism for load sharing among parallel generators. Connects frequency and voltage droop to real and reactive power balance.

Lesson 4 • Islanding Detection and Transition

Examines passive and active islanding detection methods and the control actions required for safe mode transitions. Addresses anti-islanding requirements for grid safety.

Lesson 1 • Battery Dispatch Optimisation

Presents rule-based, model predictive, and stochastic optimisation methods for battery scheduling. Balances cycle life degradation against economic and resilience objectives.

Lesson 2 • Grid Services from Microgrid Assets

Identifies frequency regulation, voltage support, and demand response services microgrids can provide to the utility. Quantifies revenue streams that improve project economics.

Lesson 3 • Variability and Forecasting Methods

Covers statistical, machine learning, and numerical weather prediction approaches to solar and wind forecasting. Accurate forecasts directly reduce storage and backup costs.

Lesson 4 • Hybrid System Configurations

Analyses solar-plus-storage, wind-diesel, and multi-source hybrid topologies for different site conditions. Guides configuration selection based on resource availability and load profiles.

Lesson 1 • Resilience and Autonomy Requirements

Translates stakeholder resilience goals into quantitative autonomy duration and load coverage targets. These targets drive storage and backup generator sizing decisions.

Lesson 2 • Design Documentation and Review

Covers single-line diagrams, equipment schedules, and design basis documents required for project approval. Proper documentation accelerates permitting and stakeholder review.

Lesson 3 • Simulation Tools and Modelling

Introduces HOMER, SAM, and custom simulation platforms for validating microgrid designs. Simulation outputs guide final component selection and financial projections.

Lesson 4 • Site Assessment and Load Analysis

Guides collection and analysis of interval load data, critical load identification, and site resource surveys. Accurate load analysis is the foundation of every sizing decision.

Lesson 1 • Incentives, Grants, and Tax Structures

Surveys investment tax credits, production incentives, grants, and accelerated depreciation applicable to microgrids. Explains how incentive stacking improves project returns.

Lesson 2 • Ownership and Contracting Models

Compares customer-owned, third-party-owned, and utility-owned microgrid structures and their risk profiles. Guides model selection based on host site goals and credit quality.

Lesson 3 • Feasibility and Business Case Development

Covers technical feasibility screening, stakeholder alignment, and preliminary financial modelling. A strong business case is the prerequisite for securing project financing.

Lesson 4 • Financial Modelling and Metrics

Builds pro forma cash flows using LCOE, NPV, IRR, and payback period as decision metrics. Connects financial outputs to investment thresholds and risk tolerance.

Lesson 1 • Procurement and Construction Management

Covers equipment procurement, contractor selection, and construction sequencing for microgrid projects. Effective construction management prevents cost overruns and schedule delays.

Lesson 2 • Commissioning Testing Procedures

Details factory acceptance tests, site acceptance tests, and integrated system commissioning steps. Commissioning validates that all components perform to design specifications.

Lesson 3 • Safety Protocols and Electrical Standards

Reviews arc flash hazard analysis, lockout/tagout procedures, and applicable electrical safety standards. Safety compliance protects personnel and reduces liability exposure.

Lesson 4 • Operations and Maintenance Programmes

Establishes preventive, predictive, and corrective maintenance schedules for all microgrid assets. A structured O&M programme maximises uptime and extends equipment life.

Lesson 1 • Strategic Planning for Grid Modernisation

Frames microgrids within utility integrated resource planning, distribution system planning, and decarbonisation roadmaps. Strategic alignment maximises policy support and investment returns.

Lesson 2 • Artificial Intelligence in Microgrid Control

Applies reinforcement learning, neural network forecasting, and anomaly detection to microgrid optimisation. AI-driven control reduces operational costs and improves fault response.

Lesson 3 • Emerging Storage and Generation Technologies

Surveys long-duration storage, green hydrogen, and advanced nuclear as future microgrid resources. Technology readiness levels guide near-term vs. long-term integration planning.

Lesson 4 • Multi-Microgrid and Networked Systems

Examines peer-to-peer energy trading, networked microgrid coordination, and cluster control architectures. Networked systems multiply resilience and economic benefits beyond single-site microgrids.