Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty

Santiago Patricio Torres Contreras; Jorge E. Idrovo; Mateo D. Llivisaca; Edgar G. Morquecho; José Jara Alvear; Miguel A. Torres; Hakan Ergun; Dirk Van Hertem

doi:10.1109/ISGTEUROPE62998.2024.10863357

Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty

Santiago Patricio Torres Contreras (First Author)
, Jorge E. Idrovo
, Mateo D. Llivisaca
, Edgar G. Morquecho
, José Jara Alvear
, Miguel A. Torres
, Hakan Ergun
, Dirk Van Hertem (Last Author)

Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones

Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones Universidad de Cuenca
Universidad del Azuay
Escuela Superior Politécnica del Litoral
KU Leuven

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The integration of non-dispatchable renewable energy sources increases demands for the inclusion of modern technologies, such as High Voltage Direct Current (HVDC) links and Energy Storage Systems (ESS), in the network expansion planning. Also, the current and future power network complexity demands more accurate models to provide more realistic solutions for the transmission expansion planning problem. However, there are no approaches that allow the selection of the proper technology in a unified and accurate TNEP formulation. This article proposes a non-convex formulation to solve the problem, using AC/DC transmission links and ESS. The Iterated Greedy (IG) algorithm is employed as an optimization technique to find good quality solutions. Since uncertainty in load and generation scenarios significantly impacts the Transmission Network Expansion Planning (TNEP), the Monte Carlo Simulation (MCS) technique is used to deal with their stochastic behavior. The advantages of the proposed approach are illustrated using a modified 6-bus Garver test system.

Original language	English
Title of host publication	IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
Editors	Ninoslav Holjevac, Tomislav Baskarad, Matija Zidar, Igor Kuzle
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9789531842976
DOIs	https://doi.org/10.1109/ISGTEUROPE62998.2024.10863357
State	Published - 2024
Event	2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024 - Dubrovnik, Croatia Duration: 14 Oct 2024 → 17 Oct 2024

Publication series

Name	IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024

Conference

Conference	2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Country/Territory	Croatia
City	Dubrovnik
Period	14/10/24 → 17/10/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

AC/DC network
Energy Storage Systems
Heuristics
Monte Carlo Simulation
Renewable Energy
Transmission Expansion Planning
Uncertainty

Access to Document

10.1109/ISGTEUROPE62998.2024.10863357

Cite this

Torres Contreras, S. P., Idrovo, J. E., Llivisaca, M. D., Morquecho, E. G., Jara Alvear, J., Torres, M. A., Ergun, H., & Van Hertem, D. (2024). Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty. In N. Holjevac, T. Baskarad, M. Zidar, & I. Kuzle (Eds.), IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024 (pp. 1-5). (IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863357

Torres Contreras, Santiago Patricio ; Idrovo, Jorge E. ; Llivisaca, Mateo D. et al. / Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty. IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. editor / Ninoslav Holjevac ; Tomislav Baskarad ; Matija Zidar ; Igor Kuzle. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1-5 (IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024).

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title = "Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty",

abstract = "The integration of non-dispatchable renewable energy sources increases demands for the inclusion of modern technologies, such as High Voltage Direct Current (HVDC) links and Energy Storage Systems (ESS), in the network expansion planning. Also, the current and future power network complexity demands more accurate models to provide more realistic solutions for the transmission expansion planning problem. However, there are no approaches that allow the selection of the proper technology in a unified and accurate TNEP formulation. This article proposes a non-convex formulation to solve the problem, using AC/DC transmission links and ESS. The Iterated Greedy (IG) algorithm is employed as an optimization technique to find good quality solutions. Since uncertainty in load and generation scenarios significantly impacts the Transmission Network Expansion Planning (TNEP), the Monte Carlo Simulation (MCS) technique is used to deal with their stochastic behavior. The advantages of the proposed approach are illustrated using a modified 6-bus Garver test system. ",

keywords = "AC/DC network, Energy Storage Systems, Heuristics, Monte Carlo Simulation, Renewable Energy, Transmission Expansion Planning, Uncertainty, AC/DC network, energy storage systems, Heuristics, Monte Carlo simulation, Renewable energ, Transmission expansion Planning, Uncertainty",

author = "\{Torres Contreras\}, \{Santiago Patricio\} and Idrovo, \{Jorge E.\} and Llivisaca, \{Mateo D.\} and Morquecho, \{Edgar G.\} and \{Jara Alvear\}, Jos{\'e} and Torres, \{Miguel A.\} and Hakan Ergun and \{Van Hertem\}, Dirk",

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year = "2024",

doi = "10.1109/ISGTEUROPE62998.2024.10863357",

language = "Ingl{\'e}s",

series = "IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024",

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Torres Contreras, SP, Idrovo, JE, Llivisaca, MD, Morquecho, EG, Jara Alvear, J, Torres, MA, Ergun, H & Van Hertem, D 2024, Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty. in N Holjevac, T Baskarad, M Zidar & I Kuzle (eds), IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024, Dubrovnik, Croatia, 14/10/24. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863357

Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty. / Torres Contreras, Santiago Patricio (First Author); Idrovo, Jorge E.; Llivisaca, Mateo D. et al.
IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. ed. / Ninoslav Holjevac; Tomislav Baskarad; Matija Zidar; Igor Kuzle. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1-5 (IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty

AU - Torres Contreras, Santiago Patricio

AU - Idrovo, Jorge E.

AU - Llivisaca, Mateo D.

AU - Morquecho, Edgar G.

AU - Jara Alvear, José

AU - Torres, Miguel A.

AU - Ergun, Hakan

AU - Van Hertem, Dirk

PY - 2024

Y1 - 2024

N2 - The integration of non-dispatchable renewable energy sources increases demands for the inclusion of modern technologies, such as High Voltage Direct Current (HVDC) links and Energy Storage Systems (ESS), in the network expansion planning. Also, the current and future power network complexity demands more accurate models to provide more realistic solutions for the transmission expansion planning problem. However, there are no approaches that allow the selection of the proper technology in a unified and accurate TNEP formulation. This article proposes a non-convex formulation to solve the problem, using AC/DC transmission links and ESS. The Iterated Greedy (IG) algorithm is employed as an optimization technique to find good quality solutions. Since uncertainty in load and generation scenarios significantly impacts the Transmission Network Expansion Planning (TNEP), the Monte Carlo Simulation (MCS) technique is used to deal with their stochastic behavior. The advantages of the proposed approach are illustrated using a modified 6-bus Garver test system.

AB - The integration of non-dispatchable renewable energy sources increases demands for the inclusion of modern technologies, such as High Voltage Direct Current (HVDC) links and Energy Storage Systems (ESS), in the network expansion planning. Also, the current and future power network complexity demands more accurate models to provide more realistic solutions for the transmission expansion planning problem. However, there are no approaches that allow the selection of the proper technology in a unified and accurate TNEP formulation. This article proposes a non-convex formulation to solve the problem, using AC/DC transmission links and ESS. The Iterated Greedy (IG) algorithm is employed as an optimization technique to find good quality solutions. Since uncertainty in load and generation scenarios significantly impacts the Transmission Network Expansion Planning (TNEP), the Monte Carlo Simulation (MCS) technique is used to deal with their stochastic behavior. The advantages of the proposed approach are illustrated using a modified 6-bus Garver test system.

KW - AC/DC network

KW - Energy Storage Systems

KW - Heuristics

KW - Monte Carlo Simulation

KW - Renewable Energy

KW - Transmission Expansion Planning

KW - Uncertainty

KW - AC/DC network

KW - energy storage systems

KW - Heuristics

KW - Monte Carlo simulation

KW - Renewable energ

KW - Transmission expansion Planning

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/86000032624

U2 - 10.1109/ISGTEUROPE62998.2024.10863357

DO - 10.1109/ISGTEUROPE62998.2024.10863357

M3 - Contribución a la conferencia

AN - SCOPUS:86000032624

T3 - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024

SP - 1

EP - 5

BT - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024

A2 - Holjevac, Ninoslav

A2 - Baskarad, Tomislav

A2 - Zidar, Matija

A2 - Kuzle, Igor

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

Y2 - 14 October 2024 through 17 October 2024

ER -

Torres Contreras SP, Idrovo JE, Llivisaca MD, Morquecho EG, Jara Alvear J, Torres MA et al. Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty. In Holjevac N, Baskarad T, Zidar M, Kuzle I, editors, IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 1-5. (IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024). doi: 10.1109/ISGTEUROPE62998.2024.10863357

Non-Convex AC/DC Static Transmission Expansion Planning Considering Energy Storage Systems and Uncertainty

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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