The book is dedicated to the implementation of different multi-criteria decision-making techniques for various problems concerning planning and operation of the smart grid from the Society 5.0 perspective. It consists of a practical explanation of several multi-criteria approaches and examples of their application to real problems. In this book, the choice of the optimal smart grid strategy in planning and operation is made. Various areas of smart grid problems are analyzed, from the smart grid project efficiency assessment to the electric vehicle charging schedule optimization. The comparison of alternatives is made using different techniques taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid.
The book outlines in clear terms how the electricity grid can be modernized in such a way that it monitors, protects, and automatically optimizes the operation of its interconnected elements, taking into account different stakeholders and criteria and society in general. The book covers various smart grid aspects―from the distributed generator through the medium-voltage network and distribution system, to energy storage installations and to end-use consumers and their thermostats, electric vehicles, appliances, and other household devices. The book serves as a practical guide for researchers, energy and utility professionals, power system planners, regulators, policymakers, and others in the field.
Author(s): Lazar Z. Velimirović, Aleksandar Janjić, Jelena D. Velimirović
Series: Disruptive Technologies and Digital Transformations for Society 5.0
Publisher: Springer
Year: 2023
Language: English
Pages: 227
City: Singapore
Preface
Contents
About the Editors
1 Introduction
References
2 Multi-Criteria Decision-Making Methods based on Fuzzy Sets
2.1 Introduction
2.2 Definitions
2.3 Fuzzy AHP Method
2.4 Fuzzy TOPSIS Method
2.5 Fuzzy Influence Diagram
References
3 Smart Grid Project Efficiency Assessment
3.1 Introduction
3.2 Frameworks for Assessing the Smart Grid
3.2.1 Key Performance Indicators (KPIs)
3.2.2 Model for Assessing Smart Grid Progress
3.3 Methodology
3.3.1 Fuzzy Set, Triangular Fuzzy Number, and Fuzzy Arithmetic
3.3.2 Fuzzy Synthetic Extent
3.3.3 Total Integral Value Method for Defuzzification
3.4 Numerical Results and Discussion
3.5 Conclusion
References
4 Multi-criteria Decision Support for Optimal Distributed Generation Dispatch
4.1 Stochastic Multi-attribute Utility Theory
4.1.1 Criteria Aggregation
4.2 Simple Additive Weighting Method
4.3 Fuzzy Simple Additive Weighting (FSAW)
4.4 Multi-criteria Decision Support for Optimal Distributed Generation Dispatch
4.5 Overgeneration Prevention
4.6 Conclusion
References
5 Renewable Energy Integration in Smart Grids
5.1 Introduction
5.2 Smart Grid Assessment Frameworks
5.2.1 Smart Grid Evaluation Metrics
5.2.2 Multi-criteria Assessment Model
5.3 Smart Grid Evaluation Method
5.3.1 Fuzzy Sets, Triangular Fuzzy Numbers, and Fuzzy Arithmetic
5.3.2 Fuzzy AHP Method
5.4 Results and Discussion
5.5 Conclusion
Appendix: Data for 33 bus Test System (Substation Voltage = 12.66 kV, MVA base = 10 MVA)
References
6 Entropy-Based Fuzzy Model for Short-Term Load Forecasting in Smart Grid
6.1 Introduction
6.2 Literature Review
6.2.1 Short-Term Load Forecasting and Weather-Related Variables
6.2.2 Methods and Techniques
6.3 Fuzzification of Predictor Variables
6.3.1 Sources of Uncertainty
6.3.2 Entropy-Based Predictor Selection
6.3.3 Temperature Fuzzification
6.3.4 Monthly Period
6.4 Fuzzy Regression Model
6.4.1 Fuzzy Regression
6.5 Case Study
6.5.1 Day-Ahead Forecast for Entire Serbia
6.5.2 Day-Ahead Forecast for the City of Belgrade
6.5.3 Comparison with Tree-based Methods
6.5.4 Sensitivity Analysis
6.6 Conclusion
Appendix 1: Regression Model Statistics for Serbia
Appendix 2: Regression Model Statistics for the City of Belgrade
References
7 Using Fuzzy Influence Diagrams to Assess the Risk of Smart Grid Enterprise Architecture
7.1 Introduction
7.2 Literature Review
7.3 Enterprise Application Integration in SG Environment
7.3.1 Enterprise Application Integration
7.3.2 Enterprise Application Integration Solution
7.4 EA Risk Analysis Using Fuzzy Influence Diagrams
7.4.1 EA for the SG Requirements
7.4.2 Fuzzy Influence Diagram
7.5 Case Studies
7.5.1 Vendor Selection
7.6 Conclusion
References
8 Smart Grid Diagnostics
8.1 Introduction
8.2 Circuit Breaker Risk Assessment
8.2.1 Risk Assessment Model
8.2.2 Risk Assessment Using Influence Diagram
8.2.3 Definition and Properties of Bayesian Networks
8.3 Case Study
8.4 Conclusion
References
9 Smart Home Control System Design
9.1 Introduction
9.2 SD Rules
9.2.1 SD for Single Criteria Decision Function
9.2.2 SD of Multi-attribute Utility Functions
9.3 Criteria Aggregation
9.3.1 Multiplicative Multi-attribute Utility Function
9.3.2 OWA
9.4 SMCDA with Compensatory Aggregation
9.4.1 Aggregation of Utility Distribution Functions
9.4.2 Discrete Convolution Algorithm
9.5 Case Study
9.6 Concluding Remarks
References
10 Electric Vehicle Charging Infrastructure Planning
10.1 Introduction
10.2 Charger Selection Criteria
10.2.1 Objective Function
10.2.2 Walking Distance
10.2.3 Connection to the Electricity Distribution Network
10.2.4 Access to the Parking Lot and Surrounding Parking Space
10.2.5 Access to Parking Lot Security
10.2.6 P-median Approach
10.3 Case Study
10.4 Conclusion
References
11 Electric Vehicle Charging Optimization
11.1 Introduction
11.2 Charging Process Problems
11.3 Electric Vehicles as Part of a Smart Grid (V2G Concept)
11.4 Individual EV Charging Optimization
11.5 Optimization of Aggregated Group of EVs
11.5.1 Maximization of Revenues from Regulation Services
11.5.2 Minimization of Customer Waiting Time
11.5.3 Load Factor Maximization
11.5.4 Multi-objective Optimization
11.5.5 Illustrative Example
11.6 Belman–Zadeh Approach
11.7 Conclusion
References
12 Machine Learning Applications in Smart Grid
12.1 Introduction
12.2 Machine Learning Techniques in Smart Grids
12.2.1 Load Forecasting
12.3 Smart Grid and Society 5.0
12.4 Conclusion
References
