Advances in Modern Electricity Distribution Networks
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 4830
Special Issue Editor
Interests: artificial intelligence; resource adequacy; electricity market modelling; forecasting modelling and network planning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The change in the traditional power systems towards integrating a high level of utility-scale renewable energy sources at the transmission level and Distributed Energy Resources (DER) at the distribution level push Network Service Providers (NSPs) to research non-traditional and intelligent solutions to manage their networks. The challenges associated with the high level of inverter-based renewable energy are divided into managing an existing asset and planning for enforcing this asset for the short and long term at minimal operating costs. Focusing on the distribution side of the network, there are a number of challenges that NSPs are trying to address to be able to operate their networks with this level of complication without compromising the required level of the reliability index. The challenges are associated with maintaining acceptable network loading, voltage profile and fault levels dynamically with the change in consumer behaviour that results from the interaction of rooftop PVs, Battery Energy Storage Systems (BESS) and Electric Vehicles (EVs) with the networks.
This Special Issue aims to present and discuss the most up-to-date topics on modern distribution network operation issues and the proposed solutions. The solutions expected include the application of artificial intelligence in advance modelling techniques for load forecasting and consumer behaviours, testing intelligent demand response approaches that achieve lower operating costs for distribution networks, investigation of novel voltage control approaches for distribution networks and examination of different optimisation methods in sizing network asset.
Topics of interest for publication include, but are not limited to:
- Advanced levels of network modelling and simulation which includes estimation of fault level and voltage profile.
- Optimum sizing of distribution network asset for optimum planning.
- Adaptive PVs, BESS and EVs inverters controllers for optimum voltage control at distribution networks.
- Analysis of consumer behaviour and load forecasting modelling at the distribution networks level.
- Demand response (Electric Vehicles, BESS and Dynamic Load).
- Investigation of new performance standards for integrating distributed energy sources (DER) on distribution networks.
- Distribution energy markets modelling and testing of various types of market design.
Dr. Thair Mahmoud
Guest Editor
Manuscript Submission Information
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Keywords
- Distribution Networks
- Smart Grids
- DER Distribution Grids Integration Codes
- Distribution Energy Markets
- Electric Vehicles Fleet Management
- Optimum Sizing of BESS on Distribution Networks
- DER inverter VARs management for voltage control on Distribution Networks
- Optimum network switching for operation planning
- Load Forecasting Modelling
- Artificial Neural Networks
- Multi-Agent System
- Optimization.
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