Agent-based Power Scheduling Framework for Interconnected Local Energy Communities Incorporating DSO Objectives

Schwarz, Sebastian; Flamme, Hendrik; Gürses-Tran, Gonca; Cupelli, Marco; Monti, Antonello

doi:10.1109/iecon.2019.8927422

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…In [15], Lilla et al propose a distributed optimization framework (i.e., alternating direction method of multipliers) to facilitate day-ahead energy trading of local communities and balancing of the distribution system. Schwarz et al [16] present an economic (i.e., social welfarebased) scheduling framework for local energy communities, while considering DSO objectives and network restrictions. In [17], Lampropoulos et al develop a hierarchical framework and algorithmic procedures to coordinate wholesale energy trading and ancillary services to Electricity System Operator (ESO) and DSO.…”

Section: B Literature Reviewmentioning

confidence: 99%

Coordinating local flexibility in distribution systems supported by active network technologies

Saifutdinov,

Sarantakos,

Alahyari

et al. 2023

Preprint

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<p>In this paper, we develop an economic mechanism for the DSO to exploit the flexibility of the LEM and integrate it into the techno-economic framework for coordinated procurement of DF supported by the novel active network technologies, in this case SOPs. The LEM flexibility mechanism independently clears the LEM, while respecting the network constraints and optimizing network operation cost by leveraging it with the social welfare of the LEM participants. The coordinated procurement framework is based on the bi-level programming approach, where the lower level ensures unconditional clearing of the LEM bids and offers, while the upper level minimizes network operational cost, subject to network constraints and DF originating from all three types of flexibility (i.e., network, contracted, and LEM). Both, the mechanism and the framework can be applied by the DSO to ensure secure and economic network operation while facilitating LEM clearing in the independent manner. In the numerical study, the framework has been applied to IEEE 33-bus benchmark system, where we investigate the performance of the coordination method proposed, evaluate the value of the LEM flexibility mechanism to the DSO, and the value of the novel active network technology (i.e., SOP). Using realistic flexibility demand and supply data, the numerical study showed that the optimal utilization of network and LEM flexibilities can lead to the DSO contracted flexibility service to become unnecessary. While the estimated value of coordinated procurement of the LEM and DSO contracted flexibilities accounts for 26.6% of the network operation cost, technology supported procurement of the LEM flexibility only can reduce the original network operation cost almost twice (by 48.9%).</p>

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Section: B Literature Reviewmentioning

confidence: 99%

Coordinating local flexibility in distribution systems supported by active network technologies

Saifutdinov,

Sarantakos,

Alahyari

et al. 2023

Preprint

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“…In [40], different operation scenarios of a multi-microgrid energy management optimisation model have been carried out in the MATLAB environment. In [50], eight LECs under study and the distribution network are modelled using MATLAB/Simulink, including a model of the electric power grid, the renewable energy sources, and various flexibility resources, such as energy storage systems. This work, along with Simulink models, computes an optimal power flow that considers the constraints of the heterogeneous LEC assets and the distribution network.…”

Section: Solvers Tools Market and Test Networkmentioning

confidence: 99%

“…MIQP (mixed integer quadratic programming) [26] The optimisation sub-problems were solved using IBM's CPLEX solver in MATLAB on an Intel Core i7-6500U CPU with 8GB of RAM. [40] MATLAB environment using the IBM ILOG CPLEX LP solver on an Intel Core 2 Duo 3.00 GHz running Windows 7 [50] MATLAB/Simulink. All optimisations are conducted using the Gurobi optimisation solver.…”

Section: Table 5 Lec Solvers and Tools Used For Implementing Emsmentioning

confidence: 99%

Modelling and Simulation Approaches for Local Energy Community Integrated Distribution Networks

et al. 2022

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Due to the absence of studies of local energy communities (LECs) where the grid is represented, it is very difficult to infer implications of increased LEC integration for the distribution grid as well as for the wider society. Therefore, this paper aims to investigate holistic modelling and simulation approaches of LECs. To conduct a quantifiable assessment of different control architectures, LEC types and market frameworks, a flexible and comprehensive LEC modelling and simulation approach is needed. Modelling LECs and the environment they operate in involves a holistic approach consisting of different layers: market, controller, and grid. The controller layer is relevant both for the overall energy management system of the LEC and the controllers of single components in a LEC. In this paper, the different LEC modelling approaches in the reviewed literature are presented, several multilayered concepts for LECs are proposed, and a case study is presented to illustrate a holistic simulation where the different layers interact.

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“…provide a general procedure and process to create an EC that is divided into the following three steps: building identification, feasibility analysis, and target group involvement [11]. The work in [12] present an agentbased model for EC and DSO dispatch coordination. In [13], the authors present an EC operation model that incorporates both economic and environmental objectives.…”

Section: B Literature Reviewmentioning

confidence: 99%

Energy Communities: From European Law to Numerical Modeling

Alaton¹,

Contreras-Ocaña

Radiguès³

et al. 2020

2020 17th International Conference on the European Energy Market (EEM)

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In 2019, the European Union introduced two new actors in the European energy system: Renewable and Citizen Energy Communities (RECs and CECs). Modelling these two new actors and their effects on the energy system is crucial when implementing the European Legislation, incorporating energy communities (ECs) into the electric grid, planning ECs, and conducting academic research. This paper aims to bridge the gap between the letter of the law and numerical models of ECs. After introducing RECs and CECs, we list elements of the law to be considered by regulators, distribution system operators, EC planners, researchers, and other stakeholders when modelling ECs. Finally, we provide three case studies of EC models that explicitly include elements of the European Law.

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Agent-based Power Scheduling Framework for Interconnected Local Energy Communities Incorporating DSO Objectives

Cited by 6 publications

References 21 publications

Coordinating local flexibility in distribution systems supported by active network technologies

Coordinating local flexibility in distribution systems supported by active network technologies

Modelling and Simulation Approaches for Local Energy Community Integrated Distribution Networks

Energy Communities: From European Law to Numerical Modeling

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