Dear Power Globers,

We present the following call for papers which may be of your interest.  We appreciate that you forward this CFP to your colleagues and friends.

Special issue on Complex Optimization and Simulation in Power Systems

Journal: Complexity Wiley/Hindawi

SCI impact factor: 4.612

Open-access: fees apply upon acceptance*.

Scope:
Deregulation of energy markets has transformed the way of delivering power to electricity customers by introducing serious competition. Meanwhile, the rise of smart grid, the ever-increasing integration of renewable generation, and the likely massive penetration of electric vehicles is challenging the power system industry as never before. Dealing with these new challenges while being able to create innovative and prosperous business ideas is a key to survival in the advent of smartening power systems.

In view of this, a comprehensive approach for design and operation of modern power system is required. The diversity of new players (e.g., aggregators or retailer companies controlling the entire system) and the disruption made by new technologies can only be evaluated with adequate simulation tools and optimization models.

We invite researchers from academia and industry to submit original and unpublished articles concerning recent advances on simulation tools in complex power systems. Also, we welcome papers proposing new methods, models, and strategies to deal with complex optimization problems in power systems.

Potential topics include but are not limited to the following:

Addressing uncertainty of distributed generation and electric vehicles in energy scheduling
Comprehensive energy network for smart grid (e.g., peer-to-peer energy problems)
Centralized and decentralized models for energy scheduling
Computational intelligence to cope with complex models in power systems
Distributed optimization approaches for energy scheduling in smart grids
Electricity market simulation considering flexibility markets
Energy management in buildings considering electric vehicles and distributed generation
Large-scale energy resource scheduling in smart grid (thousands of resources)
Forecasting and estimation algorithms to tackle uncertainty in smart grid
Integration of demand response in power systems
Large-scale penetration of electric vehicles
Multiagent systems for complex simulations in smart grid/power systems
Planning and expansion problems in power systems considering electric vehicles integration

Kind regards,