An optimal real-time pricing strategy for aggregating distributed generation and battery storage systems in energy communities: A stochastic bilevel optimization approach

Sarfarazi, Seyedfarzad; Mohammadi, Saeed; Khastieva, Dina; Hesamzadeh, Mohammad Reza; Bertsch, Valentin; Bunn, Derek W.

doi:10.1016/j.ijepes.2022.108770

Cited by 37 publications

(18 citation statements)

References 49 publications

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“…These algorithms are generally computationally expensive, and their applicability may be limited to small-and medium-sized problems. Branch and Bound [1][2][3][4][5] algorithm systematically divides the solution space into smaller subproblems and computes bounds on the optimal solution. Subproblems with bounds that cannot lead to better solutions are discarded, reducing the search space.…”

Section: Literature Reviewmentioning

confidence: 99%

A mixed-integer linear optimization problem for highway emergency vehicle routing

Wang,

Tian,

et al. 2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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Section: Literature Reviewmentioning

confidence: 99%

A mixed-integer linear optimization problem for highway emergency vehicle routing

Wang,

Tian,

et al. 2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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“…Notwithstanding the limitations, ToUTs or real-time pricing will be essential to the stable operation of Grid SA, indeed any national grid, with high levels of renewable energy generation, and especially high levels of PV [18]. In the absence of effective demand side management, systems will suffer from the well-known 'duck curve' effect, characterised by an oversupply of energy at midday as solar reaches its peak, and a sudden undersupply in the evening as the sun sets and demand accelerates to the evening peak [19,20].…”

Section: Time Of Use Tariffsmentioning

confidence: 99%

Balancing Renewable Energy Capacity, Time of Use Tariffs and Energy Storage in Energy Systems

Walwyn¹

2023

Energy Storage Applications in Power Systems

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The intermittency of solar energy predicates the simultaneous use of energy storage to maintain secure supplies. However, storage is expensive to instal and maintain, suggesting that there is an optimum design based on the price tolerance of electricity markets. In this chapter, a method for the calculation of the optimal size of a battery energy storage system (BESS), linked to utility-scale photovoltaic (PV) capacity, is presented. The method, which is illustrated by its application to the South African national grid (GridSA), uses historical generation/demand data to construct a spreadsheet model of the energy system. The model assumes that the difference between base load and energy demand, referred to as headroom, will be met using variable energy sources, including wind, solar, diesel/gas and batteries. Optimal sizing of these components to minimize the use of gas in summer, and make maximum use of low-cost solar and wind, leads to a configuration for GridSA consisting of a 22 GW base load (coal and nuclear), a PV installed capacity of 17.8 GW and a BESS capacity of 3.7 GW/10.4 GWh. A peak time of use tariff of ZAR3,500 per MWh (almost double the average tariff) will be optimal to build an economic case for energy storage as a sustainable option for GridSA.

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“…Some grid regulations may affect the battery charge control strategy, limiting the energy fed back to the grid or the instantaneous power injection and instantaneous ramp rate [17,18]. The charge control strategy must be compatible with the obligations arising from this contract, such as energy exports [19], participation in grid services [20], etc., to potentially benefit from any benefits or incentives [21]. It should also consider the preferences and operational requirements of prosumers.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of technical and financial benefits of battery energy storage system control strategies

Oğuzalp,

Terkes,

Demirci

2023

International Journal of Energy Studies

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The recent increase in renewable energy generation can balance consumption and reduce carbon emissions. With battery energy storage optimizing supply and demand, it is more important than ever to manage charge control to the benefit of all stakeholders. In this paper, the developed and proposed energy management control methods based on the technical operating criteria of battery energy storage (BESS) and considering self-consumption rate (SCR), self-supply rate (SSR) and curtailment rate are compared in terms of environmental index and economics for daily and annual demand profiles for various household prosumer demand profiles in Istanbul and Antalya. Considering the supply-demand matching based on demand flexibility, feed-in damping, fixed feed-in, schedule mode, schedule mode with constant charging power and self-consumption control methods are proposed for optimum operation for each prosumer profile. The results show that feed-in damping and fixed feed-in methods can reduce household prosumer costs by up to 22.3% in the daily analysis. Moreover, similar control methods can increase SCR by up to 29.5% and reduce costs by up to 10.62% for higher irradiances in the annual analysis. Proper management of BESS charge control can facilitate sustainable development goals by assisting plans of many stakeholders.

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An optimal real-time pricing strategy for aggregating distributed generation and battery storage systems in energy communities: A stochastic bilevel optimization approach

Cited by 37 publications

References 49 publications

A mixed-integer linear optimization problem for highway emergency vehicle routing

A mixed-integer linear optimization problem for highway emergency vehicle routing

Balancing Renewable Energy Capacity, Time of Use Tariffs and Energy Storage in Energy Systems

Evaluation of technical and financial benefits of battery energy storage system control strategies

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