Decision Making Applications in Modern Power Systems

Shady Abdel Aleem, Almoataz Youssef Abdelaziz, Ahmed F. Zobaa, Ramesh C. Bansal, Ramesh Bansal

• Publisher: Academic Press
• Year: 2019
• Print ISBN: 9780128164457
• eBook ISBN: 9780128166260
• Topic: Physical Sciences
• Subtopic: Energy

Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids.As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors.- Provides panoramic coverage of state-of-the-art energy systems, strategies and priorities in support of electrical power decision-making- Introduces innovative research outcomes, programs, algorithms and approaches to address challenges in understanding, creating and managing complex techno-socio-economic engineering systems- Includes practical training on theoretical developments and the application of advanced methods for realistic electrical energy engineering problems

Chapter 1

Multicriteria decision-making methodologies and their applications in sustainable energy system/microgrids

Abhishek Kumar¹, Bikash Sah², Arvind R. Singh³, Yan Deng¹, Xiangning He¹, Praveen Kumar² and Ramesh Bansal⁴, ¹College of Electrical Engineering, Zhejiang University, Hangzhou, P.R. China, ²Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India, ³School of Electrical Engineering, Shandong University, Jinan, P.R. China, ⁴Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates

Abstract

The energy demand of the world is increasing day by day with the increase in the population. The exhaustion of fossil fuels and the rise in global temperature incurred due to drastic climate change have shifted the attention of nations toward the renewable energy sources. For developing nations the microgrid energy systems based on renewables are the key players to meet their overall energy demand that is anticipated with economic growth. However, the microgrid project deployment for the electrification of rural villages as well as modern cities seeks the attention of the utility, governments, institutions, and other major private institutions. The efficient designing and deployment of microgrids is one of the major concerns of various stakeholders in developing nations. The complexity increases as the number of objectives and criteria is increased. In this chapter, various methods with the fundamental designing concept based on decision-making models are introduced and illustrated with the suitable algorithm for microgrid energy system design based on sustainability perspective.

Keywords

Sustainable development; renewable energy; multicriteria decision-making; rural electrification; microgrids

1.1 Introduction

As per International Energy Organization, currently, more than 38% of the global population suffers from energy poverty [1]. Around 2792 million people are deprived of access to clean cooking and electricity access. This condition is even worse in the case of India (834 million without clean cooking and 240 million without electricity) and sub-Saha...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• Chapter 1. Multicriteria decision-making methodologies and their applications in sustainable energy system/microgrids
• Chapter 2. Uncertainty management in decision-making in power system operation
• Chapter 3. Uncertainty analysis and risk assessment for effective decision-making using wide-area synchrophasor measurement system
• Chapter 4. Power quality issues of smart microgrids: applied techniques and decision making analysis
• Chapter 5. Modeling and simulation of active electrical distribution systems using the OpenDSS
• Chapter 6. Adaptive estimation and tracking of power quality disturbances with classification for smart grid applications
• Chapter 7. Role of microphasor measurement unit for decision making based on enhanced situational awareness of a modern distribution system
• Chapter 8. Effects of electrical infrastructures in grid with high penetration of renewable sources
• Chapter 9. Distributed generation in deregulated energy markets and probabilistic hosting capacity decision-making challenges
• Chapter 10. Particle swarm optimization applied to reactive power dispatch considering renewable generation
• Chapter 11. Decision-making-based optimal generation-side secondary-reserve scheduling and optimal LFC in deregulated interconnected power system
• Chapter 12. Heuristic methods for the evaluation of environmental impacts in the power plants
• Chapter 13. Maintenance management with application of computational intelligence generating a decision support system for the load dispatch in power plants
• Chapter 14. Integration of fixed-speed wind energy conversion systems into unbalanced and harmonic distorted power grids
• Chapter 15. Impact of demand-side management system in autonomous DC microgrid
• Chapter 16. Multistage and decentralized operations of electric vehicles within the California demand response markets
• Chapter 17. Pattern-recognition methods for decision-making in protection of transmission lines
• Chapter 18. A reliable decision-making algorithm for fault during power swing in 400 kV double-circuit transmission line: a case study of Chhattisgarh state power system network
• Chapter 19. Modeling and processing of smart grids big data: study case of a university research building
• Index