Arpan Koirala

ORCID: 0000-0003-4826-7137
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Research Areas
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Power System Optimization and Stability
  • Probabilistic and Robust Engineering Design
  • Microgrid Control and Optimization
  • Energy Load and Power Forecasting
  • Power System Reliability and Maintenance
  • Power Quality and Harmonics
  • Power Line Communications and Noise
  • Wind and Air Flow Studies
  • Power Systems Fault Detection
  • Smart Grid Security and Resilience
  • Statistical Distribution Estimation and Applications
  • HVDC Systems and Fault Protection
  • ICT Impact and Policies
  • Thermal Analysis in Power Transmission
  • Power Systems and Renewable Energy
  • Advanced Multi-Objective Optimization Algorithms
  • Electricity Theft Detection Techniques
  • Lightning and Electromagnetic Phenomena
  • Power Systems and Technologies
  • Islanding Detection in Power Systems
  • Electric Vehicles and Infrastructure
  • Integrated Energy Systems Optimization

KU Leuven
2019-2024

Raytheon Technologies (Finland)
2024

Engie (Belgium)
2019-2023

10.1016/j.ijepes.2019.105712 article EN International Journal of Electrical Power & Energy Systems 2019-12-12

Increased penetration of renewable resources and new loads have increased the uncertainty levels in low voltage distribution systems (LVDS). This requires considering LVDS planning, such as computing photovoltaics (PV) hosting capacity (HC), a stochastic problem. Traditionally, PV HC is computed using iterative Monte Carlo method, which solving power flow equations thousands times. paper proposes chance-constrained optimization-based calculation technique, eliminates necessity repetitive...

10.1109/tpwrs.2023.3258550 article EN IEEE Transactions on Power Systems 2023-03-17

Energy communities (ECs) are a potential enabler for the socio-technical transition to carbon-neutrality. Their emergence depends on setting right course across various dimensions: legislative system, social psychology, economic technological and natural ecosystem. A goal of this research is identify success factors energy community projects their mutual influence in different stages project development along these dimensions. We demonstrate that project's motivation phase much more system...

10.1016/j.rser.2024.114485 article EN cc-by Renewable and Sustainable Energy Reviews 2024-05-08

The recently approved regulation about self-consumption in Spain will dramatically change the level of penetration photovoltaic distributed generation combined with storage devices at residential short term. In this paper, we study impact massive installation such technologies under constraints imposed by new regulation, over terminal distribution network. As it be demonstrated, drastic terms energy demand, voltage profile, and load curves.

10.1109/tia.2019.2913825 article EN IEEE Transactions on Industry Applications 2019-05-24

A curtailable and flexible resource activation framework for solving distribution network (DN) voltage thermal congestions is used to quantify three important aspects with respect modelling low networks. This utilizes the states in absence of such or resources as input calculating flexibility signal (FAS). The FAS has some similarities optimal power flow duals associated balance constraint. due drooping design, incentivize corrective prior any limit violations. nonlinear dispatch (RDOPF)...

10.1109/tia.2023.3243890 article EN IEEE Transactions on Industry Applications 2023-02-10

This paper discusses the methods of modelling a European style TT grounded low voltage (LV) distribution system without increasing computational complexity and with increased accuracy. The conventional Kron's reduction neglects effect neutral current return path through conductor. While four-wire model gives accurate power flow results possibility to monitor voltage, it also increases burden. In this paper, novel method is proposed for systems an equivalent three-wire neglecting impact voltage.

10.1109/sest.2019.8849015 article EN 2022 International Conference on Smart Energy Systems and Technologies (SEST) 2019-09-01

In low-voltage distribution networks, the integration of novel energy technologies can be accelerated through advanced optimization-based analytics such as network state estimation and network-constrained dispatch engines for distributed resources. The scalability optimization models is challenging due to phase unbalance neutral voltage rise effects necessitating use 4 times many variables per bus than in transmission systems. This paper proposes a technique limit this factor 3, exploiting...

10.1145/3538637.3538844 article EN 2022-06-22

Driven by the energy transition, distribution networks are dealing with increasing uptake of distributed resources including solar photovoltaic generation. Residential rooftop allows customers to minimize exposure price increases in market, which has led high penetration PV regions amounts hours such as Australia. Eventually, this leads congestion network, either due voltage rise, or overcurrent lines transformers. Distribution utilities now moving on from static export limits for congested...

10.2139/ssrn.4816819 preprint EN 2024-01-01

Traditionally, the distribution system operator (DSO) relied on a fit-and-forget network design. However, there will be greater need to integrate flexible and curtailable resources cope with growing distributed generation (DG) installations new consumer loads such as electric vehicles. Distribution (DN) vulnerabilities, voltage thermal limit violations, often require resource activation in vicinity. Consumers located close end of feeder radial DN witness more over-voltages (due DG injection)...

10.1109/sest50973.2021.9543215 article EN 2022 International Conference on Smart Energy Systems and Technologies (SEST) 2021-09-06

Recent evolutions in low voltage distribution system (LVDS), e.g., distributed generation and electric vehicles, have introduced a higher level of uncertainty. To determine the probability violating grid constraints, undervoltage, such must be assessed using probabilistic power flow, which considers these uncertainties. Several approaches exist, including simulation-based analytical methods. A well-known example methods is crude Monte Carlo (MC) approach very common scientific computation...

10.1109/pmaps47429.2020.9183453 article EN 2020-08-01

<p>Increased penetration of renewable resources and new loads have increased the uncertainty levels in low voltage distribution systems (LVDS). This requires considering LVDS planning as a stochastic problem. Low photovoltaics (PV) hosting capacity (HC) calculation is such Traditionally, this solved by using iterative Monte Carlo method, which solving power flow equations thousands times. paper proposes chance-constrained optimization-based technique, eliminates necessity repetitive...

10.36227/techrxiv.21394950.v1 preprint EN cc-by 2022-11-01

Locational marginal prices (LMP) are the dual variables associated with power balance constraint of optimal flow (OPF) problem. Prior works on LMP calculation and forecasting shows that is composed generation cost, loss cost distribution network (DN) congestion cost. The focus this work to estimate component for radial DNs only local parameter measurements. true derived by solving an OPF without penalizing DN or estimated LMP, referred as flexibility activation signal (FAS), a function nodal...

10.1109/eem58374.2023.10161838 article EN 2022 18th International Conference on the European Energy Market (EEM) 2023-06-06

Assessing the capability of a distribution grid to accommodate new solar PV installations, namely its hosting capacity (HC), has been prevalent research topic. Although providing technical limit how much additional can be integrated into without trespassing operational limits, commonly used HC analysis (HCA) does not consider consumer preferences or economic feasibility installations. Using market-based optimal power flow (MBOPF) and HCA, we compare limits integration in low voltage systems...

10.1109/eem58374.2023.10161916 article EN 2022 18th International Conference on the European Energy Market (EEM) 2023-06-06

This article presents a novel numerical approach aimed at finding distribution network expansion plan that prevents future congestion and voltage issues. Forecasted duration intensity of thermal violation events are used to determine pool potential candidates for infrastructure (i.e., line/cable) upgrade, regulator, energy storage system installations. is complemented with an algorithm obtain the minimum-cost list these solves all constraint using binary linear programming. validated...

10.1109/tpwrs.2024.3404115 article EN cc-by IEEE Transactions on Power Systems 2024-05-22

For market-based procurement of low voltage (LV) flexibility, DSOs identify the amount flexibility needed for resolving probable distribution network (DN) and thermal congestion. A framework is required to avoid over or under in presence uncertainty. To this end, we propose a scenario-based robust chance-constrained (CC) day-ahead needs assessment (FNA) framework. The CC level analogous risk DSO willing take planning. Multi-period optimal power flow performed calculate issues. Flexibility...

10.48550/arxiv.2207.10234 preprint EN cc-by arXiv (Cornell University) 2022-01-01
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