Journal: Sustainable Energy, Grids and Networks

Abbreviation

Publisher

Elsevier

Journal Volumes

ISSN

2352-4677

Description

Filters

2016 - 201932020 - 20255
Reset filters

Search Results

Publications 1 - 8 of 8
  • Integrating multi-domain distributed energy systems with electric vehicle PQ flexibility: Optimal design and operation scheduling for sustainable low-voltage distribution grids
    Item type: Journal Article
    Morvaj, Boran; Knezović, Katarina; Evins, Ralph; et al. (2016)
    Sustainable Energy, Grids and Networks
  • A two-stage polynomial approach to stochastic optimization of district heating networks
    Item type: Journal Article
    Hohmann, Marc; Warrington, Joseph; Lygeros, John (2019)
    Sustainable Energy, Grids and Networks
    In this paper we use stochastic polynomial optimization to derive high-performance operating strategies for heating networks with uncertain or variable demand. The heat flow in district heating networks can be regulated by varying the supply temperature, the mass flow rate, or both simultaneously, leading to different operating strategies. The task of choosing the set-points within each strategy that minimize the network losses for a range of demand conditions can be cast as a two-stage stochastic optimization problem with polynomial objective and polynomial constraints. We derive a generalized moment problem (GMP) equivalent to such a two-stage stochastic optimization problem, and describe a hierarchy of moment relaxations approximating the optimal solution of the GMP. Under various network design parameters, we use the method to compute (approximately) optimal strategies when one of, or both, the mass flow rate and supply temperature are varied for a benchmark heat network. We report that the performance of an optimally-parameterized fixed-temperature variable-mass-flow strategy can approach that of a fully variable strategy.
  • Active distribution networks or microgrids? Optimal design of resilient and flexible distribution grids with energy service provision
    Item type: Journal Article
    Wu, Raphael; Sansavini, Giovanni (2021)
    Sustainable Energy, Grids and Networks
  • An open-data based framework to estimate EV demand and attainable flexibility and application to the case of Singapore
    Item type: Journal Article
    Bartolini, Andrea; Hug, Gabriela (2023)
    Sustainable Energy, Grids and Networks
    The electrification of the transport sector will have consequences that go beyond the transportation system itself, for example by also impacting power distribution networks and their operation. This both comes with potential threats and opportunities, such as sharp stochastic load changes that further burden already stressed power transmission and distribution systems. But opportunities arise from the flexibility that the vehicles batteries charging process could provide, eventually helping in better managing such infrastructures. This paper presents a framework that leverages openly available vehicles mobility-related data sources to define and simulate scenarios of electric mobility adoption, quantifying load and available demand flexibility in such scenarios. In particular, demand flexibility potential is assessed according to different charging strategies, including vehicle to grid, and different vehicles stationing behaviours. The goal is to provide a framework that is potentially of use to a set of different stakeholders, from city planners to grid operators and aggregators, to assess flexibility sources towards several applications. These range from planning for resilience by evaluating flexibility sources for provision of services to the grid, to enabling participation in ancillary services markets. The framework leverages a set of data sources, particularly carparks’ occupancy data in the form of live availability information at high temporal resolution.The framework is applied to a test case in the city of Singapore with the goal to estimate the consumption flexibility available from electric vehicles in carparks throughout the city. Maps that visualize the availability of such flexibility both in space and time are generated based on this assessment.
  • Stochastic control of cooling appliances under disturbances for primary frequency reserves
    Item type: Journal Article
    Borsche, Theodor S.; Santiago, Juan de; Andersson, Göran (2016)
    Sustainable Energy, Grids and Networks
  • Large-scale generation of geo-referenced power distribution grids from open data with load clustering
    Item type: Journal Article
    Oneto, Alfredo Ernesto; Gjorgiev, Blazhe; Tettamanti, Filippo; et al. (2025)
    Sustainable Energy, Grids and Networks
    The availability of real power distribution grid data is often restricted due to privacy concerns and the lack of digitized representations, limiting spatially-resolved assessments of these systems. This inaccessibility has motivated the development of methods for generating synthetic grids. However, existing methods face challenges such as computational intractability for large-scale zones, restrictive topological assumptions, insufficient representation of electrical components, and inadequate consideration of geographical constraints. This work addresses the challenges by developing a model for the large-scale generation of synthetic geo-referenced low- and medium-voltage grids using publicly accessible data. It comprises a geographic load clustering algorithm, a procedure for generating graphical grid layouts, and a method for selecting operational topologies and line types. The model's effectiveness and computational performance are demonstrated by generating synthetic low- and medium-voltage grids for Switzerland, with all generated grids made openly available.
  • Data-driven participation of active distribution networks in transmission voltage control
    Item type: Journal Article
    Escobar Prado, Francisco; Pierrou, Georgia; Valverde Mora, Gustavo; et al. (2025)
    Sustainable Energy, Grids and Networks
    The increasing deployment of Distributed Energy Resources (DERs) creates new opportunities within the framework of interactions between the Transmission (TSO) and Distribution (DSO) System Operators. Since DERs have advanced control capabilities, their infrastructure can be utilized to offer voltage support to the Transmission Network (TN). In this paper, a novel data-driven method that enables the participation of Active Distribution Networks (ADNs) with a high penetration of DERs in TN voltage support is proposed. Unlike previous works that rely on model-based information exchange, the proposed approach leverages data to derive an estimation of a sensitivity matrix which is integrated into the TN voltage control scheme optimizing the reactive power exchange with ADNs. To effectively consider the DERs’ availability and facilitate online implementation, the capability of each ADN is integrated and regularly updated in the optimization. The proposed approach offers flexibility in the control design, as it can be implemented as either a centralized or a decentralized control scheme. A comprehensive numerical study on the IEEE 39-Bus test system validates the effectiveness of the proposed method in coordinating the response of multiple ADNs in the presence of strict TN voltage or ADN availability constraints.
  • A proportional-integral model for fractional voltage tripping of distributed energy resources
    Item type: Journal Article
    Katanić, Miloš; Verbič, Gregor; Lygeros, John; et al. (2025)
    Sustainable Energy, Grids and Networks
    In regions with high shares of distributed energy resources (DERs), massive disconnection of small-scale DERs in low-voltage distribution grids during disturbances poses a serious threat to power system security. However, modeling this effect in a computationally efficient way remains challenging. This paper proposes a novel proportional-integral aggregate model for predicting the fraction of tripped DERs based on the voltage at the substation connection point. The model effectively captures the cumulative behavior of the system, is simple to implement, and includes seven parameters for undervoltage tripping and seven for overvoltage tripping behavior, each with a distinct physical meaning. We further propose an optimization-based approach to tune the model parameters. Simulation results show significantly more accurate predictions compared to the DER_A model—a standard dynamic model for aggregate DER behavior—even when the latter is optimized, with only a minor increase in model complexity.
Publications 1 - 8 of 8