Resilient future energy systems: smart grids, vehicle-to-grid and microgrids

Alexander Domyshev; Ulf Häger; Daniil Panasetsky; Denis Sidorov; Pantelis Sopasakis

doi:10.1016/B978-0-12-816816-5.00026-7

Resilient future energy systems: smart grids, vehicle-to-grid and microgrids

Alexander Domyshev
, Ulf Häger
, Daniil Panasetsky
, Denis Sidorov
, Pantelis Sopasakis

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Citations (Scopus)

Abstract

Future urban energy systems planning, incorporates various interconnected components including smart grids, electric vehicles, renewable energy sources, heating, and cooling systems. This chapter is the brief introduction to the data-driven energy system with special focus on methods and algorithms for hedging against the ever-increasing uncertainty that surrounds their operation. Special attention is paid to operation control, stochastic optimization, and introduction of the digital twins to achieve higher resilience in future energy systems of smart cities.

Original language	English
Title of host publication	Solving urban infrastructure problems using smart city technologies. Handbook on planning, design, development, and regulation
Editors	John Vacca
Publisher	Elsevier B.V.
Chapter	26
Pages	571-597
ISBN (Electronic)	9780128168172
ISBN (Print)	9780128168165
DOIs	https://doi.org/10.1016/B978-0-12-816816-5.00026-7
Publication status	Published - 25 Sept 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1016/B978-0-12-816816-5.00026-7Licence: Unspecified

Cite this

Domyshev, A., Häger, U., Panasetsky, D., Sidorov, D., & Sopasakis, P. (2020). Resilient future energy systems: smart grids, vehicle-to-grid and microgrids. In J. Vacca (Ed.), Solving urban infrastructure problems using smart city technologies. Handbook on planning, design, development, and regulation (pp. 571-597). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-816816-5.00026-7

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abstract = "Future urban energy systems planning, incorporates various interconnected components including smart grids, electric vehicles, renewable energy sources, heating, and cooling systems. This chapter is the brief introduction to the data-driven energy system with special focus on methods and algorithms for hedging against the ever-increasing uncertainty that surrounds their operation. Special attention is paid to operation control, stochastic optimization, and introduction of the digital twins to achieve higher resilience in future energy systems of smart cities.",

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Domyshev, A, Häger, U, Panasetsky, D, Sidorov, D & Sopasakis, P 2020, Resilient future energy systems: smart grids, vehicle-to-grid and microgrids. in J Vacca (ed.), Solving urban infrastructure problems using smart city technologies. Handbook on planning, design, development, and regulation. Elsevier B.V., pp. 571-597. https://doi.org/10.1016/B978-0-12-816816-5.00026-7

Resilient future energy systems: smart grids, vehicle-to-grid and microgrids. / Domyshev, Alexander; Häger, Ulf; Panasetsky, Daniil et al.
Solving urban infrastructure problems using smart city technologies. Handbook on planning, design, development, and regulation. ed. / John Vacca. Elsevier B.V., 2020. p. 571-597.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Resilient future energy systems: smart grids, vehicle-to-grid and microgrids

AU - Domyshev, Alexander

AU - Häger, Ulf

AU - Panasetsky, Daniil

AU - Sidorov, Denis

AU - Sopasakis, Pantelis

PY - 2020/9/25

Y1 - 2020/9/25

N2 - Future urban energy systems planning, incorporates various interconnected components including smart grids, electric vehicles, renewable energy sources, heating, and cooling systems. This chapter is the brief introduction to the data-driven energy system with special focus on methods and algorithms for hedging against the ever-increasing uncertainty that surrounds their operation. Special attention is paid to operation control, stochastic optimization, and introduction of the digital twins to achieve higher resilience in future energy systems of smart cities.

AB - Future urban energy systems planning, incorporates various interconnected components including smart grids, electric vehicles, renewable energy sources, heating, and cooling systems. This chapter is the brief introduction to the data-driven energy system with special focus on methods and algorithms for hedging against the ever-increasing uncertainty that surrounds their operation. Special attention is paid to operation control, stochastic optimization, and introduction of the digital twins to achieve higher resilience in future energy systems of smart cities.

U2 - 10.1016/B978-0-12-816816-5.00026-7

DO - 10.1016/B978-0-12-816816-5.00026-7

M3 - Chapter

SN - 9780128168165

SP - 571

EP - 597

BT - Solving urban infrastructure problems using smart city technologies. Handbook on planning, design, development, and regulation

A2 - Vacca, John

PB - Elsevier B.V.

ER -

Resilient future energy systems: smart grids, vehicle-to-grid and microgrids

Abstract

UN SDGs

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