Aim & Scope:

To shape a low carbon energy future has been a crucial and urgent task under Paris Global Agreement. Numerous optimization problems have been formulated and solved to effectively save the fossil fuel cost and relief energy waste from power system and energy application side. However, some key problems are of strong non-convex, non-smooth or mixed integer characteristics, leading to significant challenging issues for system operators and energy users. Swarm intelligence (SI) is immune from complex problem modelling formulation, and is therefore providing powerful optimization tools for intelligently and efficiently solving problems such as smart grid and various renewable and sustainable energy systems scheduling to reduce carbon consumptions.

The purpose of the special issue “Power and Energy Optimization with Swarm Intelligence Techniques” is to investigate the state-of-the-art advances of swarm intelligence approaches implemented to solve various electrical power and low carbon energy science and engineering problems. The submissions are encouraged to be focus on electrical power system, renewable energy such as wind and solar, plug-in electric vehicles, distribution generations and energy storages, multiple time-spacial energy reductions and other energy optimization topics.

Keywords: Power system scheduling, Energy optimization, Renewable energy

Topics to be discussed in this special issue include (but are not limited to) the following:

•     Brain Storm Optimization Algorithms
•     Neighborhood Field Optimization
•     Harmony Search
•     Particle Swarm Optimization
•     Genetic Algorithm
•     Artificial Bee Colony Algorithm
•     Differential Evolution
•     Artificial Immune System
•     Teaching Learning Based Optimization
•     Grey Wolf Optimizer

This issue aims to receive the contributions in the following power and energy applications: Swarm-Intelligence techniques in:

•     Unit commitment, economic dispatch and optimal power flow
•     Optimal smart grid scheduling and integration with renewable energy generations
•     Energy management, intelligent coordination and control of electric vehicles/ships
•     Life cycle analysis and optimization of building energy systems
•     Charging and discharging strategies for energy storage battery systems
•     Internal and whole scale management for single and hybrid energy storage systems
•     Energy reduction strategies for food and chemical process industry
•     Energy reduction strategies for energy intensive manufacturing processes
•     Parameters identification for photovoltaic models and PEM fuel cells
•     Thermodynamic optimization for heat exchanger design and Organic Rankine Cycle

Submission link:

Important Dates

•     Paper Submission Due: November 30, 2019
•     Completion of first review cycle: January 15, 2020
•     Deadline for submitting the revised papers: February 15, 2020
•     2nd review completion: March 30, 2020
•     Notification of Final Acceptance: May 15, 2020
•     Final Manuscript Due: June 15, 2020

Guest Editors:

1.    Dr. Zhile Yang
Assistant Professor, Shenzhen Institute of Advanced Technology,
Chinese Academy of Sciences,
Shenzhen, 518055, China,

2.    Dr. Kunjie Yu
Associate Professor, School of Electrical Engineering,
Zhengzhou University,
Zhengzhou, 450001, China,

3.    Dr. Zong Woo Geem
Associate professor, Department of Energy IT,
Gachon University,
Seongnam, 13120, South Korea,

4.    Prof. Zhou Wu
Professor, School of Automation,
Chongqing University,
Chongqing, 400044, China,

5.    Prof. Hao Quan
Professor, School of Automation,
Nanjing University of Science & Technology,
Nanjing, 210094, China,

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