Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems / / Victor Becerra, Ahmed Rachid.

The electrical power system is undergoing a revolution enabled by advances in telecommunications, computer hardware and software, measurement, metering systems, IoT, and power electronics. Furthermore, the increasing integration of intermittent renewable energy sources, energy storage devices, and e...

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Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2022.
Year of Publication:2022
Language:English
Physical Description:1 online resource (414 pages)
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520 |a The electrical power system is undergoing a revolution enabled by advances in telecommunications, computer hardware and software, measurement, metering systems, IoT, and power electronics. Furthermore, the increasing integration of intermittent renewable energy sources, energy storage devices, and electric vehicles and the drive for energy efficiency have pushed power systems to modernise and adopt new technologies. The resulting smart grid is characterised, in part, by a bi-directional flow of energy and information. The evolution of the power grid, as well as its interconnection with energy storage systems and renewable energy sources, has created new opportunities for optimising not only their techno-economic aspects at the planning stages but also their control and operation. However, new challenges emerge in the optimization of these systems due to their complexity and nonlinear dynamic behaviour as well as the uncertainties involved.This volume is a selection of 20 papers carefully made by the editors from the MDPI topic "Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems", which was closed in April 2022. The selected papers address the above challenges and exemplify the significant benefits that optimisation and nonlinear control techniques can bring to modern power and energy systems. 
546 |a In English. 
505 0 |a About the Editors -- Hardware Implementation of Novel Shade Dispersion PV Reconfiguration Technique to Enhance Maximum Power under Partial Shading Conditions -- Multiobjective Load Dispatch for Coal-Fired Power Plants under Renewable-Energy -- Accommodation Based on a Nondominated-Sorting Grey Wolf Optimizer Algorithm -- Reserve-Constrained Unit Commitment Considering Adjustable-Speed Pumped-Storage Hydropower and Its Economic Effect in Korean Power System -- Techno-Economic Evaluation of Hybrid Energy Systems Using Artificial Ecosystem-Based Optimization with Demand Side Management -- Optimal Power Dispatch in Energy Systems Considering Grid Constraints -- Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC-DC Converters Feeding CPLs -- Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation -- Modified Beetle Annealing Search (BAS) Optimization Strategy for Maxing Wind Farm Power through an Adaptive Wake Digraph Clustering Approach -- Home Energy Management Considering Renewable Resources, Energy Storage, and an Electric Vehicle as a Backup -- Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects -- An Optimized Framework for Energy Management of Multi-Microgrid Systems -- A Novel Mean Field Game-Based Strategy for Charging Electric Vehiclesin Solar Powered Parking Lots -- Optimal Reactive Power Dispatch under Transmission and Distribution Coordination Based on an Accelerated Augmented Lagrangian Algorithm -- Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm -- Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation -- DSO Strategies Proposal for the LV Grid of the Future -- Distributed Generation Based Virtual STATCOM Configuration and Control Method -- Co-Optimizing Battery Storage for Energy Arbitrage and Frequency Regulation in Real-Time Markets Using Deep Reinforcement Learning -- Multi-Objective Optimal Integration of Solar Heating and Heat Storage into Existing Fossil Fuel-Based Heat and Power Production Systems -- Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System. 
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