Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

Firoozi, Hooman; Khajeh, Hosna; Laaksonen, Hannu

doi:10.1109/access.2020.3027710

Cited by 48 publications

(28 citation statements)

References 32 publications

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“…A four-week simulation is performed adopting the IEEE European low voltage test feeder -solved via OpenDSS -and 44 consumers having a 4 kWp PV on the rooftop. Similarly, a two-stages stochastic method based on a Mixed-Integer Linear Programming (MILP) optimization model is used in [19] ] for the optimal operation of a local energy community to participate in providing manual frequency restoration reserve (mFRR). The case study consists of 50 households, distributed 100kW PV systems, a centralized 50 kW/200k Wh Vanadium Redox Flow battery, and 10 electric vehicles.…”

Section: A Related Workmentioning

confidence: 99%

A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities

Burgio¹,

Cimmino²,

Jasiński

et al. 2022

IEEE Access

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This paper proposes a heuristic method for calculating the capacity of a set of residential photovoltaic-battery systems in providing upward flexibility services to the grid in an energy communities framework. The proposed method has been designed to calculate the upward service capacity in a few minutes, assuming a scenario where the grid operator urgently needs an upward service in a specific area. The proposed method calculates the service capacity by exploiting the PV overgeneration and the state of charge of batteries, adopting a distributed approach. If the service capacity varies relevantly over time, a centralized approach is considered allowing the service capacity to remain constant over time. An algorithm is provided that implements the proposed heuristic method that can be easily translated into a software code and solved even in the absence of specific skills and expensive high-level computational tools, i.e. using costeffective single-board computers. The main benefits and advantages of the proposed method are due to its applicability in real-time problems and to its simplicity which makes it easy to be translated into software code and solved even in the absence of specific skills and high-level computational tools. Therefore, it is a simple and advantageous solution, especially for small energy communities. The numerical results demonstrate the effectiveness of the proposed method and algorithm, studying a set of four residential photovoltaic-battery systems and real input data. For this test case, the algorithm returns a flat service capacity of approximately 8 kW which remains perfectly constant for 1-hour. Lastly, the performance of the proposed heuristic method is compared with the solution of two optimization problems aiming at the same scope.

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Section: A Related Workmentioning

confidence: 99%

A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities

Burgio¹,

Cimmino²,

Jasiński

et al. 2022

IEEE Access

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“…Ref. [14] demonstrated that local energy communities connected to distribution networks could be potential resources for providing manual FRR services for TSOs. The authors of [15] analyzed the deployment of grid-connected PV (Photovoltaic) panels integrated with the battery energy storage system (BESS) to follow the TSO regulation signals.…”

Section: ) System-wide Flexibility Provisionmentioning

confidence: 99%

“…7). To develop the mathematical models of EVs and batteries, we utilize the [14] while for the electric heaters, the model is extracted from [43].…”

Section: Case Studymentioning

confidence: 99%

A Local Capacity Market Providing Local and System-Wide Flexibility Services

et al. 2021

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“…A promising way to deal with the energy management of prosumers is to gather individual prosumers into a group-wide system, and the energy community (EC) is one of the most typical concepts that has attracted much attention (Cai et al, 2017;Firoozi et al, 2020). The paper of Bera et al (2018) analyzes the formatting process of an EC from a dynamic perspective.…”

Section: Introductionmentioning

confidence: 99%

“…Despite those comprehensive works, there still exist some gaps, which the current work seeks to fill. The previous literatures comprehensively analyze the structures and behaviors of ECs with only electricity carrier (Cai et al, 2017;Ye et al, 2017;Bera et al, 2018;Feng et al, 2020;Firoozi et al, 2020;Lilla et al, 2020;Cui et al, 2021), but barely focus on building a multi-energy community (MEC) with multi-energy interactions and analyzing the trading mechanism of it. In Ma et al (2019), an EH is proposed to interact different energy carriers in an EC, but it is viewed as an EC operator in the leading level, which means the EH is not on the same status as prosumers and can lead the transaction with prosumers.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Trading Mechanism and Satisfaction-Based Profit Distribution in a Multi-Energy Community

et al. 2021

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With the development of distributed generation and demand-side response, traditional consumers are now converted into prosumers that can actively produce and consume electricity. Moreover, with the help of energy integration technique, prosumers are encouraged to form a multi-energy community (MEC), which can increase their social welfare through inside multi-energy sharing. This paper proposes a day-ahead cooperative trading mechanism in a MEC that depends on an energy hub (EH) to couple electricity, natural gas, and heat for all prosumers. The model of the traditional uncooperative local integrated energy system (ULIES) is also built as a comparison. A satisfaction-based profit distribution mechanism is set according to prosumers’ feelings about the extra cost they save or extra profit they gain in MEC compared with that in ULIES. Finally, case studies are set to analyze the utility of MEC in enlarging social welfare, after considering the effects of prosumers’ electricity usage patterns and buy-and-sell prices in retail market. The results of satisfaction-based profit distribution are also analyzed to verify that it can save the cost or increase the profit of each prosumer and EH.

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Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

Abstract: This work was undertaken as part of the FLEXIMAR project (novel marketplace for energy flexibility) with financial support provided by Business Finland (Grant No. 6988/31/2018) as well as Finnish companies.

Cited by 48 publications

References 32 publications

A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities

A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities

A Local Capacity Market Providing Local and System-Wide Flexibility Services

Cooperative Trading Mechanism and Satisfaction-Based Profit Distribution in a Multi-Energy Community

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