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相关论文: Bidding Aggregated Flexibility in European Electri…

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A variety of energy resources has been identified as being flexible in their electric energy consumption or generation. This energetic flexibility can be used for various purposes such as minimizing energy procurement costs or providing…

系统与控制 · 计算机科学 2017-05-09 Fabian L. Müller , Jácint Szabó , Olle Sundström , John Lygeros

Most literature surrounding optimal bidding strategies for aggregators in European day-ahead market (DAM) considers only hourly orders. While other order types (e.g., block orders) may better represent the temporal characteristics of…

最优化与控制 · 数学 2022-08-29 Yogesh Pipada Sunil Kumar , S. Ali Pourmousavi , Markus Wagner , Jon A. R. Liisberg

Flexibility of small loads, in particular from Electric Vehicles (EVs), has recently attracted a lot of interest due to their possibility of participating in the energy market and the new commercial potentials. Different from existing work,…

计算工程、金融与科学 · 计算机科学 2018-05-28 Emmanouil Valsomatzis , Torben Bach Pedersen , Alberto Abello

In this work we propose a heuristic clearing method of day-ahead electricity markets. In the first part of the process, a computationally less demanding problem is solved using an approximation of the cumulative demand and supply curves,…

计算机科学与博弈论 · 计算机科学 2024-01-22 Botond Feczkó , Dániel Divényi , Ádám Sleisz , Dávid Csercsik

The European power grid can be divided into several market areas where the price of electricity is determined in a day-ahead auction. Market participants can provide continuous hourly bid curves and combinatorial bids with associated…

最优化与控制 · 数学 2015-03-02 Alexander Martin , Johannes C. Müller , Sebastian Pokutta

Bundling a large number of distributed energy resources through a load aggregator has been advocated as an effective means to integrate such resources into whole-sale energy markets. To ease market clearing, system operators allow…

系统与控制 · 电气工程与系统科学 2022-01-31 Sina Taheri , Vassilis Kekatos , Harsha Veeramachaneni , Baosen Zhang

The rising share of volatile renewable generation increases the demand for flexibility in the electricity grid. Flexible capacity can be offered by industrial energy systems through participation on either the continuous intraday,…

最优化与控制 · 数学 2022-12-26 Niklas Nolzen , Alissa Ganter , Nils Baumgärtner , Ludger Leenders , André Bardow

Aggregation is crucial to the effective use of flexibility, especially in the case of electric vehicles (EVs) because of their limited individual battery sizes and large aggregate impact. This research proposes a novel method to quantify…

系统与控制 · 电气工程与系统科学 2024-03-19 Nanda Kishor Panda , Simon H. Tindemans

With the rapid growth of electric vehicles (EVs), EV aggregators have been playing a increasingly vital role in power systems by not merely providing charging management but also participating in wholesale electricity markets. This work…

最优化与控制 · 数学 2024-04-16 Shihan Huang , Dongkun Han , John Zhen Fu Pang , Yue Chen

The increasing penetration of volatile renewables combined with increasing demands poses a challenge to modern power grids. Furthermore, distributed energy resources and flexible devices (electric vehicles, PV generation, ...) are becoming…

Managing and unlocking the flexibility hidden in electric vehicles (EVs) has emerged as a critical yet challenging task towards low-carbon power and energy systems. This paper focuses on the online bidding and dispatch strategies for an EV…

系统与控制 · 电气工程与系统科学 2024-11-05 Manqi Xu , Ye Guo , Hongbin Sun

There is an intrinsic value in higher integration of multi-carrier energy systems (especially gas and electricity), to increase operational flexibility in the electricity system and to improve allocation of resources in gas and electricity…

This paper proposes a new combinatorial auction framework for local energy flexibility markets, which addresses the issue of prosumers' inability to bundle multiple flexibility time intervals. To solve the underlying NP-complete winner…

机器学习 · 计算机科学 2023-07-27 Awadelrahman M. A. Ahmed , Frank Eliassen , Yan Zhang

The widespread diffusion of distributed energy resources, especially those based on renewable energy, and energy storage devices has deeply modified power systems. As a consequence, demand response, the ability of customers to respond to…

系统与控制 · 电气工程与系统科学 2021-04-21 Francesco Conte , Matteo Saviozzi , Samuele Grillo

The growing integration of distributed renewable generation and the electrification of heating and transportation are rapidly increasing the number of flexible devices within modern distribution grids. Leveraging the aggregated flexibility…

系统与控制 · 电气工程与系统科学 2025-10-16 Jan Brändle , Julie Rousseau , Pulkit Nahata , Gabriela Hug

We propose a bidding method for the participation of combined heat and power (CHP) units in the day-ahead electricity market. More specifically, we consider a district heating system where heat can be produced by CHP units or heat-only…

最优化与控制 · 数学 2022-03-17 Ignacio Blanco , Anders N. Andersen , Daniela Guericke , Henrik Madsen

Electric vehicle (EV) fleets are expected to become an increasingly important source of flexibility for power system operations. However, accurately capturing the flexibility potential of numerous and heterogeneous EVs remains a significant…

最优化与控制 · 数学 2025-10-13 Philipp Härtel , Michael von Bonin

In a power grid, the electricity supply and demand must be balanced at all times to maintain the system's frequency. In practice, the grid operator achieves this balance by procuring frequency reserves in an ahead-of-time market setting.…

最优化与控制 · 数学 2018-11-05 Felix Rey , Xiaojing Zhang , Sandro Merkli , Valentina Agliati , Maryam Kamgarpour , John Lygeros

Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid. One aspect of the smart energy management at the building level is given by the…

机器学习 · 统计学 2016-05-09 Elena Mocanu , Phuong H. Nguyen , Madeleine Gibescu

Accurate short-term electricity price forecasting is crucial for strategically scheduling demand and generation bids in day-ahead markets. While data-driven techniques have shown considerable prowess in achieving high forecast accuracy in…

机器学习 · 计算机科学 2025-12-05 Maria Margarida Mascarenhas , Jilles De Blauwe , Mikael Amelin , Hussain Kazmi
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