Optimal Scheduling of a Multi-Energy Microgrid

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimal Scheduling of a Multi-Energy Microgrid

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Optimal Scheduling of a Multi-Energy Microgrid

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

CHEMICAL ENGINEERING TRANSACTIONS

ISSN

2283-9216

e-ISSN

2283-9216

Svazek periodika

88

Číslo periodika v rámci svazku

November

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

6

Strana od-do

901-906

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85122507247