Module #1 Introduction to Decentralized Grids Overview of decentralized grids, their benefits and challenges, and the importance of energy flow optimization.
Module #2 Energy Flow Fundamentals Review of energy flow concepts, including power flow, voltage, and current in AC and DC systems.
Module #3 Decentralized Grid Architecture Overview of decentralized grid architecture, including microgrids, nanogrids, and community energy systems.
Module #4 Energy Storage in Decentralized Grids Importance of energy storage in decentralized grids, types of energy storage systems, and their applications.
Module #5 Renewable Energy Sources in Decentralized Grids Overview of renewable energy sources, including solar, wind, and hydro power, and their integration into decentralized grids.
Module #6 Energy Flow Optimization Problem Formulation Formulation of the energy flow optimization problem, including objective functions, constraints, and variables.
Module #7 Linear Programming and Optimization Methods Introduction to linear programming and optimization methods, including simplex method, dual simplex method, and interior point method.
Module #8 Mixed-Integer Linear Programming and Optimization Methods Introduction to mixed-integer linear programming and optimization methods, including branch and bound method and cutting plane method.
Module #9 Dynamic Programming and Optimization Methods Introduction to dynamic programming and optimization methods, including Bellmans principle of optimality and dynamic programming algorithms.
Module #10 Metaheuristics and Optimization Methods Introduction to metaheuristics and optimization methods, including genetic algorithms, simulated annealing, and ant colony optimization.
Module #11 Energy Flow Optimization Algorithms Overview of energy flow optimization algorithms, including linear and nonlinear programming, and metaheuristics.
Module #12 Distributed Energy Flow Optimization Distributed energy flow optimization methods, including consensus-based optimization and distributed gradient descent.
Module #13 Decentralized Energy Flow Optimization Case Studies Case studies of decentralized energy flow optimization in microgrids, nanogrids, and community energy systems.
Module #14 Energy Flow Optimization with Energy Storage Optimization of energy flow with energy storage systems, including battery management and charging/discharging strategies.
Module #15 Energy Flow Optimization with Renewable Energy Sources Optimization of energy flow with renewable energy sources, including solar and wind power forecasting and uncertainty management.
Module #16 Energy Flow Optimization with Electric Vehicles Optimization of energy flow with electric vehicles, including vehicle-to-grid and vehicle-to-home applications.
Module #17 Energy Flow Optimization with Demand Response Optimization of energy flow with demand response, including price responsive and load shifting strategies.
Module #18 Energy Flow Optimization with Microgrids Optimization of energy flow in microgrids, including islanding and grid-connected operation.
Module #19 Energy Flow Optimization with Nanogrids Optimization of energy flow in nanogrids, including residential and commercial applications.
Module #20 Energy Flow Optimization with Community Energy Systems Optimization of energy flow in community energy systems, including shared energy storage and renewable energy systems.
Module #21 Energy Flow Optimization with Distribution Grids Optimization of energy flow in distribution grids, including feeder optimization and voltage optimization.
Module #22 Energy Flow Optimization with Transmission Grids Optimization of energy flow in transmission grids, including line flow optimization and contingency analysis.
Module #23 Energy Flow Optimization with Grid Resiliency Optimization of energy flow with grid resiliency, including islanding and self-healing strategies.
Module #24 Energy Flow Optimization with Cybersecurity Optimization of energy flow with cybersecurity, including threat detection and mitigation strategies.
Module #25 Energy Flow Optimization with Data Analytics Optimization of energy flow with data analytics, including predictive analytics and machine learning applications.
Module #26 Energy Flow Optimization with IoT and Edge Computing Optimization of energy flow with IoT and edge computing, including real-time data processing and control.
Module #27 Energy Flow Optimization with Blockchain Optimization of energy flow with blockchain, including peer-to-peer energy trading and secure energy transactions.
Module #28 Energy Flow Optimization with Policy and Regulations Optimization of energy flow with policy and regulations, including net metering and renewable portfolio standards.
Module #29 Energy Flow Optimization with Technical and Economic Analysis Technical and economic analysis of energy flow optimization, including cost-benefit analysis and sensitivity analysis.
Module #30 Course Wrap-Up & Conclusion Planning next steps in Energy Flow Optimization in Decentralized Grids career
