Optimal Scheduling of a Multi-Energy Microgrid

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00355617" target="_blank" >RIV/68407700:21230/21:00355617 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3303/CET2188150" target="_blank" >https://doi.org/10.3303/CET2188150</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET2188150" target="_blank" >10.3303/CET2188150</a>

Result language

angličtina

Original language name

Optimal Scheduling of a Multi-Energy Microgrid

Original language description

This work presents an optimization framework for the optimal scheduling of a multi-energy microgrid based on Mixed-Integer Programming techniques and consisting of a number of aggregated end-users. With the objective of satisfying the microgrid's electricity and heat demands in a cost-optimal way, the microgrid includes several technologies such as micro combined heat and power units, gas turbines, heat pumps, renewable energy sources, exchanges with the main grid, as well as flexibility providers such as energy storage systems, electric vehicles, and demand response. One salient feature of the proposed framework is that it considers the contribution of power generating sources in the ancillary services provision, both up and down, providing an additional income for their operation and enhancing the grid operation. An illustrative case study has been used to test the applicability of the proposed approach in both economic and operational terms. The results underscore the significance of including the ancillary services market as a revenues source to the MES as well as the fact that the participation of various resources in both energy and ancillary services markets affects the operational scheduling of the microgrid, and the services provided by the flexibility providers play a major role in the overall cost reduction. System operators, aggregators, and market participants can utilize the proposed optimization framework to determine their operational and investment strategies for optimal resource utilization and portfolio selection. Copyright 2021, AIDIC Servizi S.r.l.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

CHEMICAL ENGINEERING TRANSACTIONS

ISSN

2283-9216

e-ISSN

2283-9216

Volume of the periodical

88

Issue of the periodical within the volume

November

Country of publishing house

IT - ITALY

Number of pages

6

Pages from-to

901-906

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85122507247