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Comparative assessment of generative models for transformer- and consumer-level load profiles generation

Xia, W. (author), Huang, Hanyue (author), Duque, Edgar Mauricio Salazar (author), Shengren, H. (author), Palensky, P. (author), Vergara Barrios, P.P. (author)

Residential load profiles (RLPs) play an increasingly important role in the optimal operation and planning of distribution systems, particularly with the rising integration of low-carbon energy resources such as PV systems, electric vehicles, small-scale batteries, etc. Despite the prevalence of various data-driven models for generating...

journal article 2024

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A Mixed-integer Linear Programming Model for Defining Customer Export Limit in PV-rich Low-voltage Distribution Networks

Vergara Barrios, P.P. (author), Giraldo, Juan S. (author), Salazar, Mauricio (author), Panda, Nanda Kishor (author), Nguyen, Phuong H. (author)

A photovoltaic (PV)-rich low-voltage (LV) distribution network poses a limit on the export power of PVs due to the voltage magnitude constraints. By defining a customer export limit, switching off the PV inverters can be avoided, and thus reducing power curtailment. Based on this, this paper proposes a mixed-integer nonlinear programming (MINLP)...

journal article 2023

document

Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm

Shengren, H. (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Palensky, P. (author)

The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system’s complexity, especially when it comes to defining its operational schedule. Deep reinforcement learning (DRL) algorithms arise as a promising solution due to their data-driven and model-free features. However, current DRL...

journal article 2023

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Risk-Aware Operating Regions for PV-Rich Distribution Networks Considering Irradiance Variability

Duque, Edgar Mauricio Salazar (author), Giraldo, Juan S. (author), Vergara Barrios, P.P. (author), Nguyen, Phuong H. (author), van der Molen, Anne (author), Slootweg, J. G. (author)

This article proposes a framework to identify, visualize, and quantify risk of potential over/under voltage due to annual energy consumption and PV generation growth. The stochastic modeling considers the following: (i) Active and reactive power profiles for distribution transformers, dependent on annual energy consumption and activity in the...

journal article 2023

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Guest editorial: RES hosting capacity in distribution networks

Astero, Poria (author), Bai, Feifei (author), Disfani, Vahid (author), Vergara Barrios, P.P. (author)

contribution to periodical 2023

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Optimal Energy Scheduling of Flexible Industrial Prosumers via Reinforcement Learning

van den Bovenkamp, Nick (author), Giraldo, Juan S. (author), Salazar Duque, Edgar Mauricio (author), Vergara Barrios, P.P. (author), Konstantinou, Charalambos (author), Palensky, P. (author)

This paper introduces an energy management system (EMS) aiming to minimize electricity operating costs using reinforcement learning (RL) with a linear function approximation. The proposed EMS uses a Q-learning with tile coding (QLTC) algorithm and is compared to a deterministic mixed-integer linear programming (MILP) with perfect forecast...

conference paper 2023

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Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

Verbist, Flore (author), Panda, Nanda Kishor (author), Vergara Barrios, P.P. (author), Palensky, P. (author)

With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic...

conference paper 2023

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Sizing of an autonomous microgrid considering droop control

Rey, Juan M. (author), Jiménez-Vargas, Iván (author), Vergara Barrios, P.P. (author), Osma-Pinto, Germán (author), Solano, Javier (author)

Autonomous microgrids are a suitable solution for off-grid electrification in terms of costs and reliability. The correct sizing of its generation and storage systems ensures efficient utilization of the available energy resources. Generally, many sizing approaches assume optimized energy management strategies that rely on central control...

journal article 2022

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Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning

Vergara Barrios, P.P. (author), Salazar, Mauricio (author), Giraldo, Juan S. (author), Palensky, P. (author)

In this paper, a Reinforcement Learning (RL)-based approach to optimally dispatch PV inverters in unbalanced distribution systems is presented. The proposed approach exploits a decentralized architecture in which PV inverters are operated by agents that perform all computational processes locally; while communicating with a central agent to...

journal article 2022

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Oplossingsrichtingen voor congestie in middenspanningsnetten: de casus Buiksloterham-Zuid/Overhoeks Amsterdam

Palensky, P. (author), Rueda, José L. (author), Vergara Barrios, P.P. (author), Boricic, Aleksandar (author), Fu, A. (author), Voskuilen, Paul (author)

Door middel van een zo representatief mogelijk rekenmodel voor het middenspanningsnet van de Amsterdamse gebieden Buiksloterham-Zuid/Overhoeks (BZOH), heeft het onderzoeksteam een detailanalyse kunnen uitvoeren naar de verwachte leveringscongestie in dit gebied zoals aangekondigd door Liander op 24 juni 2021. De detailanalyse laat een...

report 2022

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Community energy storage operation via reinforcement learning with eligibility traces

Salazar Duque, Edgar Mauricio (author), Giraldo, Juan S. (author), Vergara Barrios, P.P. (author), Nguyen, Phuong (author), van der Molen, Anne (author), Slootweg, Han (author)

The operation of a community energy storage system (CESS) is challenging due to the volatility of photovoltaic distributed generation, electricity consumption, and energy prices. Selecting the optimal CESS setpoints during the day is a sequential decision problem under uncertainty, which can be solved using dynamic learning methods. This...

journal article 2022

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Critical Data Visualization to Enhance Protection Schemes for State Estimation

Flor, Vinicius B.Braga (author), Filho, Milton B.Do Coutto (author), de Souza, Julio C.Stacchini (author), Vergara Barrios, P.P. (author)

Intelligent electrical power grids, widely referred to as smart grids (SGs), rely on digital technology resources, especially communication and measurement devices, becoming a cyber-physical energy system. Massive data flow between grid elements makes smart grids more vulnerable to cyber-attacks. Power system state estimation (SE) - an...

journal article 2022

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A fixed-point current injection power flow for electric distribution systems using Laurent series

Giraldo, Juan S. (author), Montoya, Oscar Danilo (author), Vergara Barrios, P.P. (author), Milano, Federico (author)

This paper proposes a new power flow (PF) formulation for electrical distribution systems using the current injection method and applying the Laurent series expansion. Two solution algorithms are proposed: a Newton-like iterative procedure and a fixed-point iteration based on the successive approximation method (SAM). The convergence analysis of...

journal article 2022

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Estimating PV Curtailed Power as a Voltage Support Service using Data-Driven Approaches

Verhoeven, Gijs (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Kok, Koen (author)

To guarantee a successful deployment of a droop-based control strategy to mitigate overvoltage problems caused by solar photovoltaic (PV) generation, Distribution System Operators (DSOs) will need to estimate the amount of active power curtailed by the PV inverters for billing purposes. This paper provides a structural elaboration on the...

conference paper 2022

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Mitigating the Impacts of EVs Charging Infrastructure on Dutch Residential Grids

Nasr, Waleed S. (author), Vergara Barrios, P.P. (author), Kruimer, Bas (author)

With the enforcement of governmental regulations and incentives, the share of electric vehicles (EVs) in the mobility sector is on the rise, impacting significantly the grid and its operation. This paper aims to investigate and find solutions to mitigate the impacts of EV charging on Dutch residential grids, namely the impacts of voltage...

conference paper 2022

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Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling

Shengren, H. (author), Salazar, Edgar Mauricio (author), Vergara Barrios, P.P. (author), Palensky, P. (author)

Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due to the introduction of renewable-based generation. To deal simultaneously with the energy systems’ operational cost and technical constraints (e.g, generation-demand...

conference paper 2022

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Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems

Rath, Suman (author), Zografopoulos, Ioannis (author), Vergara Barrios, P.P. (author), Nikolaidis, Vassilis C. (author), Konstantinou, Charalambos (author)

Embedded controllers, sensors, actuators, advanced metering infrastructure, etc. are cornerstone components of cyber-physical energy systems such as microgrids (MGs). Harnessing their monitoring and control functionalities, sophisticated schemes enhancing MG stability can be deployed. However, the deployment of ‘smart’ assets increases the...

conference paper 2022

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Assessing the Operation of Typical Dutch Distribution Systems with Large Penetration of Low-Carbon Energy Technologies

Verhoeven, Gijs (author), Vergara Barrios, P.P. (author), Kok, Koen (author)

Currently, the majority of the available test feeder models are based on the North American type of distribution systems, leaving an absence of representative feeder models for the European (and Dutch) types of distribution systems. Therefore, a standardized set of power flow models for typical Dutch LV distribution networks is developed using...

conference paper 2021

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Framework to Evaluate Power Portfolio Dispatch Considering Balancing Market Participation

Vas-Corrales, Alejandro (author), Nguyen, Phuong (author), Vergara Barrios, P.P. (author), Schoot, Wouter (author), Soder, Lennart (author)

The power grid is rapidly experiencing a transformation driven by renewable and climate targets which pose a huge challenge to maintain the system stability and reliability, thus balancing services become more crucial now than ever. To provide balancing services in a cost-efficient way, it is necessary to develop predictive models which can...

conference paper 2021

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A Linear AC-OPF Formulation for Unbalanced Distribution Networks

Giraldo, Juan S. (author), Vergara Barrios, P.P. (author), Lopez, Juan Camilo (author), Nguyen, Phuong H. (author), Paterakis, Nikolaos G. (author)

Linear optimal power flow (OPF) formulations are powerful tools applied to a large number of problems in power systems, e.g., economic dispatch, expansion planning, state estimation, congestion management, electricity markets, among others. This article proposes a novel mixed-integer linear programming formulation for the ac-OPF of three...

journal article 2021