Issue |
E3S Web Conf.
Volume 231, 2021
2020 2nd International Conference on Power, Energy and Electrical Engineering (PEEE 2020)
|
|
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Article Number | 01002 | |
Number of page(s) | 5 | |
Section | Power Engineering and Power Electronic Technology | |
DOI | https://doi.org/10.1051/e3sconf/202123101002 | |
Published online | 25 January 2021 |
Virtual power plant: state of the art providing energy flexibility to local distribution grids
1
Institute for Globally Distributed Open Research and Education (IGDORE), Cleveland, Middlesbrough, UK
2
Mehran University of Engineering & Technology, Jamshoro, Sindh, Pakistan
* Corresponding author: Zahid.ullah@igdore.org
Integrating decentralised energy sources into the traditional distribution networks can result in technical issues impacting the power quality. Innovative ideas are, therefore, needed to promote the transformation of systems to a smart grid. Distribution System operator (DSO) could make use of the flexibility of emerging technologies as a method to address these power quality issues. This study aims to present an overview of a local flexibility market (LFM) which will allow DSO requirements to be fulfilled through the (VPP) as an energy flexibility provider. The required optimization loads, generators and as well as storage units, are undertaken in the general algebraic modeling simulation (GAMS) environment. The aim of the optimization problem is to provide DSOs the opportunity to increase or curtail the local generations and loads in order to satisfy their requirement. The VPP will then be responsible for handling the relevant requests in real time to ensure the correct operating schedule of a resource is applied. The preliminary results of simulation studies presented in this paper have shown that the local market framework for flexibility could have potential for deferring investments in distribution network capacity, minimizing energy costs and improving the hosting capacity of distribution networks.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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