2022
DOI: 10.1016/j.jclepro.2022.133909
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Optimisation and analysis of battery storage integrated into a wind power plant participating in a wholesale electricity market with energy and ancillary services

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Cited by 20 publications
(15 citation statements)
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“…A multi-objective three-level model, employing a multi-objective genetic algorithm, has been used to determine the optimal BESS capacity providing a methodology for incorporating energy storage into Renewable Energy systems to enhance ancillary service provision [46]. Also, the optimal performance of a wind farm with integrated battery storage in a wholesale electricity market has been conducted focusing on maximizing the Net Present Value (NPV) considering participation in energy and Frequency Control Ancillary Services (FCAS) markets and accounting for imperfect generation forecasts [47].…”
Section: Ancillary Servicesmentioning
confidence: 99%
“…A multi-objective three-level model, employing a multi-objective genetic algorithm, has been used to determine the optimal BESS capacity providing a methodology for incorporating energy storage into Renewable Energy systems to enhance ancillary service provision [46]. Also, the optimal performance of a wind farm with integrated battery storage in a wholesale electricity market has been conducted focusing on maximizing the Net Present Value (NPV) considering participation in energy and Frequency Control Ancillary Services (FCAS) markets and accounting for imperfect generation forecasts [47].…”
Section: Ancillary Servicesmentioning
confidence: 99%
“…While existing literature has explored the strategic behavior of RE in the context of market equilibrium, it has primarily been confined to strategic pricing, often formulated within a bilevel modeling framework that includes an upper-level RE profit maximization model and a lowerlevel market clearing model (Ruiz et al, 2012;Kazempour and Zareipour, 2014;Hartwig and Kockar, 2016;Zou et al, 2016;Heredia et al, 2018;Wang et al, 2018;Guo et al, 2020;Huang et al, 2021;Dai et al, 2022;Naemi et al, 2022;Wang et al, 2022;Zhang et al, 2023a;Zhang et al, 2023b). Commonly, the Karush-Kuhn-Tucker (KKT) conditions (Kazempour et al, 2012;Zeynali et al, 2022) are employed to recast the bilevel problem into a single-level nonlinear framework, namely a mathematical problem with equilibrium constraints (MPEC) (Guo et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…However, these studies have not addressed the role of ES systems in shaping the strategic behavior of RE generators. A few works, such as (Naemi et al, 2022), have investigated the optimization of battery storage in wind power plants within wholesale markets, but without considering strategic pricing implications.…”
Section: Introductionmentioning
confidence: 99%
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“…Furthermore, the optimization of mobile energy storage charging and discharging was deliberated, with a focus on renewable energy consumption and enhancing power supply quality. This paper's primary contributions included a theoretical foundation and practical recommendations for the best possible scheduling and distribution of mobile energy storage [6]. Wang et al (2022) concentrated on the complete life cycle economic assessment of energy storage.…”
Section: Introductionmentioning
confidence: 99%