Potentials and promises of computational intelligence for smart grids

Load flow analysis is widely used to estimate the flow of various electrical parameters such as the voltage, current, and power in power grids. These estimates allow us to effectively and reliably manage the given grid under random and uncertain conditions. Given the enormous amount of randomness and uncertainties in the factors that affect the smart grids, compared to traditional power grids, a complete and rigorous load flow analysis holds a vital role in ensuring the reliability of this safety-critical domain. In this chapter, the authors describe smart grids in terms of their basic components and then categorize the factors that affect the loads in smart grids. This is followed by a comprehensive survey of various existing load flow analysis techniques (i.e., numerical, computational intelligence, and probabilistic).

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Opening Address

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2017.p0008 ◽

2017 ◽

Vol 21 (1) ◽

pp. 8-8

Author(s):

Editor: Prof. Yasufumi Takama ◽

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Computational Intelligence ◽

Smart Grids ◽

Fuzzy Inference ◽

Peer Review Process ◽

Web Intelligence ◽

The Past ◽

Research Areas ◽

Institute Of Technology

The JACIII was first published in 1997, and 2017 marks its 20th anniversary. During the last two decades, the research fields in computational intelligence have rapidly evolved owing to the spread of the Internet, performance improvement of computers, and accumulation of scientific knowledge. To celebrate this 20th anniversary, we have selected 6 important research areas from the JACIII scope, and invited outstanding researchers from each of these areas to contribute papers about the progress and major topics in those areas during the past 20 years. Submitted paper went through a peer-review process by distinguished professors to further improve the quality. The research areas selected were computational intelligence, fuzzy intelligence, intelligent robots, artificial intelligence and web intelligence, data mining, and smart grids. Each of those paper covers broad topics appeared in the research areas, from which readers could grasp what happened during the past 20 years. We also hope readers could find some hints about future directions of their own researches towards the next 20 years. Invited Paper 1: Computational Intelligence: Retrospection and Future Author: Witold Pedrycz (University of Alberta, Canada) Invited Paper 2: Fuzzy Inference: Its Past and Prospects Authors: Kiyohiko Uehara (Ibaraki University, Japan) and Kaoru Hirota (Beijing Institute of Technology, China) Invited Paper 3: Relationship Between Human and Robot in Nonverbal Communication Authors: Yukiko Nakagawa and Noriaki Nakagawa (RT Corporation, Japan) Invited Paper 4: Web Intelligence and Artificial Intelligence Author: Yasufumi Takama (Tokyo Metropolitan University, Japan) Invited Paper 5: A Review of Data Mining Techniques and Applications Authors: Ratchakoon Pruengkarn, Kok Wai Wong, and Chun Che Fung (Murdoch University, Australia) Invited Paper 6: Development and Current State of Smart Grids: A Review Author: Ken Nagasaka (Tokyo University of Agriculture and Technology, Japan)

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Special issue on advanced computational intelligence systems for smart grids planning and management

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-013-0204-9 ◽

2013 ◽

Vol 4 (6) ◽

pp. 603-604 ◽

Cited By ~ 3

Author(s):

Carlo Cecati ◽

Pierluigi Siano

Keyword(s):

Computational Intelligence ◽

Smart Grids ◽

Special Issue ◽

Planning And Management

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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

Complexity ◽

10.1155/2018/2340628 ◽

2018 ◽

Vol 2018 ◽

pp. 1-32 ◽

Cited By ~ 12

Author(s):

João Soares ◽

Tiago Pinto ◽

Fernando Lezama ◽

Hugo Morais

Keyword(s):

Smart Grid ◽

Power Systems ◽

Electric Vehicles ◽

Computational Intelligence ◽

Smart Grids ◽

Energy Resource ◽

Management Problem ◽

Renewable Generation ◽

Complex Problems ◽

Optimization And Simulation

This survey provides a comprehensive analysis on recent research related to optimization and simulation in the new paradigm of power systems, which embraces the so-called smart grid. We start by providing an overview of the recent research related to smart grid optimization. From the variety of challenges that arise in a smart grid context, we analyze with a significance importance the energy resource management problem since it is seen as one of the most complex and challenging in recent research. The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. The last part of this survey is devoted to research on large-scale simulation towards applications in electricity markets and smart grids. The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor. Besides, adequate models and tools to address uncertainty in energy scheduling solutions are crucial to deal with new resources such as electric vehicles or renewable generation. Computational intelligence can provide a significant advantage over traditional tools to address these complex problems. In addition, supercomputers or parallelism opens a window to refine the application of these new techniques. However, such technologies and approaches still need to mature to be the preferred choice in the power systems field. In summary, this survey provides a full perspective on the evolution and complexity of power systems as well as advanced computational tools, such as computational intelligence and simulation, while motivating new research avenues to cover gaps that need to be addressed in the coming years.

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Load Flow Analysis in Smart Grids

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch271 ◽

2018 ◽

pp. 3103-3113

Author(s):

Osman Hasan ◽

Awais Mahmood ◽

Syed Rafay Hasan

Keyword(s):

Computational Intelligence ◽

Smart Grids ◽

Flow Analysis ◽

Vital Role ◽

Load Flow ◽

Power Grids ◽

Safety Critical ◽

Load Flow Analysis ◽

Comprehensive Survey ◽

The Given

Load flow analysis is widely used to estimate the flow of various electrical parameters, such as the voltage, current and power, in power grids. These estimates allow us to effectively and reliably manage the given grid under random and uncertain conditions. Given the enormous amount of randomness and uncertainties in the factors that affect the smart grids, compared to traditional power grids, a complete and rigorous load flow analysis holds a vital role in ensuring the reliability of this safety-critical domain. In this chapter, we describe smart grids in terms of their basic components and then categorize the factors that affect the loads in smart grids. This is followed by a comprehensive survey of various existing load flow analysis techniques, i.e., numerical, computational intelligence and probabilistic.

Download Full-text