Demand-side Flexibility in Smart Grid (SpringerBriefs in Applied Sciences and Technology)

✍ Scribed by Roya Ahmadiahangar, Argo Rosin, Ivo Palu, Aydin Azizi

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 66
• Category: Library

✦ Synopsis

This book highlights recent advances in the identification, prediction and exploitation of demand side (DS) flexibility and investigates new methods of predicting DS flexibility at various different power system (PS) levels. Renewable energy sources (RES) are characterized by volatile, partially unpredictable and mostly non-dispatchable generation. The main challenge in terms of integrating RES into power systems is their intermittency, which negatively affects the power balance. Addressing this challenge requires an increase in the available PS flexibility, which in turn requires accurate estimation of the available flexibility on the DS and aggregation solutions at the system level. This book discusses these issues and presents solutions for effectively tackling them.

✦ Table of Contents

Contents
1 Challenges of Smart Grids Implementation
1.1 Overview
1.2 Definitions
1.3 Micro Grid [5]
1.4 Advantages of Smart Grid
1.4.1 Reducing Environmental Impacts
1.4.2 Improving Reliability
1.4.3 Increasing Efficiency
1.5 Main Challenges of Smart Grids Implementations
1.5.1 Investment Costs
1.5.2 Security and Privacy
1.5.3 Data Management
1.5.4 Stability and Decreasing Rate of Flexibility
1.6 Organization of the Book
References
2 On the Concept of Flexibility in Electrical Power Systems: Signs of Inflexibility
2.1 Overview
2.2 What is the Power System Flexibility?
2.3 Signs of Inflexibility
2.3.1 Challenges in Demand-Supply Balancing
2.3.2 Significant Renewable Energy Curtailments
2.3.3 Area Balance Violations
2.3.4 Negative Market Prices
2.3.5 Price Volatility
References
3 Investigating Different Sources of Flexibility in Power System
3.1 Overview
3.2 Challenges in Supply-Side Flexibility
3.2.1 Conventional Power Plants
3.2.2 Renewable Energy Sources
3.3 Quantifying Grid Side Flexibility
3.3.1 Flexibility for Power
3.3.2 Flexibility for Energy
3.3.3 Flexibility for Transfer Capacity
3.4 Flexibility for Voltage
3.5 Exploiting Demand-Side Flexibility (DSF)
References
4 Forecasting Available Demand-Side Flexibility
4.1 Overview
4.2 Importance of Forecasting Flexibility
4.3 Forecasting Parameters
4.4 Improving Forecasts with Machine Learning Methods
4.5 Optimization-Based Approaches
4.6 Evaluation Metrics
References
5 New Approaches for Increasing Demand-Side Flexibility
5.1 Overview
5.2 Enabling Demand-Side Flexibility
5.3 Electrical Vehicle (EV) Charging as Alternative Storage [47]
5.4 Increasing Available Flexibility; Case Study, Estonia
5.5 Challenges in Increasing Available Flexibility
References