A rolling horizon approach for real-time trading and portfolio optimization of end-user flexibilities

Corinaldesi, Carlo; Schwabeneder, Daniel; Lettner, Georg; Auer, Hans

doi:10.1016/j.segan.2020.100392

Cited by 18 publications

(11 citation statements)

References 24 publications

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“…In both Marzband et al [32] and Asrari et al [33] such a LEM is presented. A different approach is presented in Leeuwen et al [34] and Coraldesi et al [35]. The LEMs presented in these studies allow prosumers to alleviate grid congestion by bidding on a rolling horizon.…”

Section: Congestion and Ancillary Servicesmentioning

confidence: 99%

“…Another example is a market framework where participants send a bid to an agent, which then places bids on behalf of the participant in a local P2P market but also in the national day-ahead and intraday markets [65]. Comparable frameworks can be found in [35,49,50,52,56,60,61]. Finally, a consortium existing of Dutch key players in the Dutch energy chain has developed the Universal Smart Energy Framework (USEF) that sets communication and trading protocols for most stakeholders to allow the use of flexibility for congestion management and ancillary services [67].…”

Section: Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

Doumen

Nguyen

Kok

2022

Renewable and Sustainable Energy Reviews

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Section: Congestion and Ancillary Servicesmentioning

confidence: 99%

Section: Frameworkmentioning

confidence: 99%

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

Doumen

Nguyen

Kok

2022

Renewable and Sustainable Energy Reviews

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“…Uncertainty from forecast of inflexible demand profiles and renewable production curves are included. In [8], the operating strategy for the flexibility of end-users is modeled using a rolling K A stochastic approach to dynamic participation in energy communities horizon approach, including trades at Day-Ahead and Intraday spot markets. A scenario-based stochastic multi-energy microgrid investment planning model to minimize costs is presented in [10].…”

Section: Stochastic Modeling and Optimization Of Energy Communitiesmentioning

confidence: 99%

A stochastic approach to dynamic participation in energy communities

Perger

Zwickl-Bernhard²,

Golab³

et al. 2022

Elektrotech. Inftech.

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With energy communities and local electricity markets on the rise, the possibilities for prosumers to be actively involved in the energy system increase, creating more complex settings for energy communities. This paper addresses the following research question: Does having knowledge about the future development in energy communities help make better decisions selecting new participants than without consideration of any future developments? Each year, the community is faced with the exit of existing members and a portfolio of possible new entrants with different characteristics. For this purpose, a bi-level optimization model for dynamic participation in local energy communities with peer-to-peer electricity trading, which is able to select the most suitable new entrants based on the preferences of the members of the original community, is extended to a stochastic dynamic program. The community wants to plan a few years ahead, which includes the following uncertainties: (i) which members leave after each period, and (ii) which are the potential new members willing to join the community. This paper’s contribution is a stochastic optimization approach to evaluate possible future developments and scenarios. The focus lies on the contractual design between the energy community and new entrants; the model calculates the duration of contracts endogenously. The results show a sample energy community’s decision-making process over a horizon of several years, comparing the stochastic approach with a simple deterministic alternative solution.

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“…Rolling horizon is an approach that splits the whole planning horizon of the main problem into multiple segments, and then it can be solved in sequence as different sub-problems [24]. Rolling horizon has proved to be a worthy choice to deal with different problems such as; airspace sectorization [25], portfolio optimization [26], and scheduling of electric vehicle charging [27]. Based on the rolling horizon approach, the planning horizon is divided into equal segments.…”

Section: ) Solution Formulation Based On Rolling Horizon Approachmentioning

confidence: 99%

A Mathematical Programming Model and a Firefly-Based Heuristic for Real-Time Traffic Signal Scheduling With Physical Constraints

2021

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Traffic congestion is one of the challenges that face urban cities' planners. It affects the environment as it increases the emissions of CO2 and affects the logistics systems as it may increase the travel time of different vehicles. Scheduling traffic signals is one of the ways to solve this problem. In the urban traffic signal scheduling problem, it is desired to get the optimum schedule for each considered traffic signal to maximize or minimize a specific objective function(s); these schedules determine the active and inactive traffic phases during each cycle time. In this paper, a mathematical programming model for solving the urban traffic signal scheduling problem is presented, the proposed mathematical model captures the physical constraints of the problem. Furthermore, a firefly-based rolling horizon approach is proposed to solve the problem. Both methods are used to solve a traffic-responsive system, which is considered the future of traffic control systems. The performance of both methods has been simulated using the SUMO traffic simulator to verify the solutions. The performance of the solutions was measured using the average queue length of the roads, the average waiting time, and the average travel time. The proposed methods have been applied to a real case study, and the results were remarkable.

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A rolling horizon approach for real-time trading and portfolio optimization of end-user flexibilities

Cited by 18 publications

References 24 publications

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

A stochastic approach to dynamic participation in energy communities

A Mathematical Programming Model and a Firefly-Based Heuristic for Real-Time Traffic Signal Scheduling With Physical Constraints

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