A MILP optimization model for assessing the participation of distributed residential PV-battery systems in the ancillary services market

Siano, Pierluigi; Dolatabadi, Mohammad

doi:10.17775/cseejpes.2020.01170

Cited by 7 publications

(3 citation statements)

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“…A similar multi-energy community is presented in [23] where the authors propose a day-ahead scheduling strategy for the participation in the joint Energy and ancillary service markets; the proposed strategy is tested on a real regional multi-energy system, including industrial, commercial, and residential areas, 3km away from each other. Much larger is the energy community in [24] where a non-linear stochastic method based on a MILP optimization model optimally operates residential photovoltaic-battery systems for the provision of upward and downward regulation in the ancillary services market. The study consists of 2000 residential users, with 3-6 kWp PV systems and 6-9 kWh battery systems.…”

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

View full text Add to dashboard Cite

show abstract

“…Several studies focus on cost-effectiveness when participating in ancillary service provision [38], and propose to combine PV plants with other types of generation or load, such as thermal or wind generation [39], with household loads [40] or as part of industry sites [38]. These studies therefore highlight the economic benefits of operating PV as part of a VPP.…”

Section: Prior Work On Economic Viability Of Pvmentioning

confidence: 99%

“…The generators can use both fossil and renewable energy sources, and the "heart" of a VPP is an energy management system (EMS) that coordinates the power flows coming from the generators, controllable loads and storage systems [41]. Mixed integer linear programming (MILP) methods are a common means of modeling and optimizing scheduling and planning problems for VPPs (e.g., [40,42]). The authors of [43] solved a general capacity allocation problem for several markets in a co-optimization.…”

Section: Prior Work On Economic Viability Of Pvmentioning

confidence: 99%

What Incentives Are Required for Renewables to Provide Redispatch Services? A Simulation in a Multi-Market Setting

et al. 2022

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Renewable energy sources (RES) can provide valuable flexibility potential for multiple markets and grid services in the future. In this paper, the focus lies on the development of algorithms for an optimal dispatch and bidding of a RES-based virtual power plant (VPP) by considering current short-term and balancing market conditions in Austria, as well as a proposed redispatch market. Specifically, different pricing and bidding strategies for a redispatch market are compared and their feasibility is analyzed. The attractiveness of different pricing models and remuneration mechanisms for redispatch, as well as the influence of the redispatch call probability on the bidding behavior of the VPP, is investigated. The simulation of the bidding behavior is carried out using linear optimization techniques. The paper describes the algorithms as well as the assumptions for market rules in redispatch, balancing and short-term electricity markets. The results show that the probability to be activated for redispatch and thus the required incentives depend highly on the location of the plant. Pre-curtailment of the plant to offer positive redispatch is not recommended as the prices would need to be set at up to 200–300% of the day-ahead price.

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Assessing the Scalability and Privacy of Energy Communities by Using a Large-Scale Distributed and Parallel Real-Time Optimization

2022

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In the context of the energy transition, energy communities are gaining increasing attention all over the world, in recent years. By participating in an energy community, prosumers may take a leading role in the energy transition and improve the self-consumption of renewable energy produced inside the community. Prosumers can carry out energy exchanges inside the energy community and provide ancillary services to the system operators, thus contributing to improve the efficiency and stability of the grid. A novel scalable, privacy-preserving, and real-time distributed parallel optimization is proposed to manage a largescale energy community, considering energy exchanges inside the community according to the model of virtual self-consumption and the provision of ancillary services. The proposed method preserves the privacy of prosumers and allows the assessment of the impact of energy exchanges on the ancillary services provided by an energy community. Simulation results confirmed that the proposed method is superior in terms of privacy if compared with the equivalent centralized optimization and that it has a convergence rate higher than that of the splitting conic solver (SCS).

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A MILP optimization model for assessing the participation of distributed residential PV-battery systems in the ancillary services market

Cited by 7 publications

References 0 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

What Incentives Are Required for Renewables to Provide Redispatch Services? A Simulation in a Multi-Market Setting

Assessing the Scalability and Privacy of Energy Communities by Using a Large-Scale Distributed and Parallel Real-Time Optimization

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