Abstract
Many planning and operation studies that aim at fully assessing and optimizing the performance of the distribution grids, in response to the current trends, cannot ignore grid limitations. Modelling the distribution system, by including the electrical characteristics of the network (e.g., topology) and end user behaviors, has become complex, but essential, for all conventional and emerging actors/players of power systems (i.e., system and market operators, regulators, new market parties as service providers, aggregators, researchers, etc.). This paper deals with a methodology that, starting from publicly available open data on the energy consumption of a region or wider area, is capable to obtain reasonable load and generation profiles for the network supplied by each primary substation in the region/area. Furthermore, by combining these profiles with territorial and socio-economic information, the proposed methodology is able to model the network in terms of lines, conductors, loads and generators. The results of this procedure are the synthetic networks of the real distribution networks, that do not correspond exactly to the actual networks, but can characterize them in a realistic way. Such models can be used for all the kind of optimization studies that need to check the grid limitations. Results derived from Italian test cases are presented and discussed.
Funder
Horizon 2020 Framework Programme
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)
Reference28 articles.
1. IEEE PES AMPS DSAS Test Feeder Working Group, Test feedershttp://sites.ieee.org/pes-testfeeders/resources/
2. TF C6.04.02: TB 575—Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources;Strunz,2014
3. Optimal Coordination of Energy Resources With a Two-Stage Online Active Management
4. Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources
5. Integration of Dispersed Power Generation;Seritan,2016
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献