Harnessing power system flexibility under multiple uncertainties
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2022-07
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en
Pages
13
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IET Generation, Transmission and Distribution
Abstract
Increasing the intermittent outputs of renewable energy sources (RESs) has forced planners to define a new concept named flexibility. In this regard, some short- and long-term solutions, such as transmission expansion planning (TEP) and energy storage systems (ESSs) have been suggested to improve the flexibility amount. A proper optimization procedure is required to choose an optimal solution to improve flexibility. Therefore, a mixed-integer linear programming (MILP) direct-optimization TEP versus ESSs co-planning model is presented in this paper to enhance power system flexibility. In doing so, a novel RES-BESS-based grid-scale system flexibility metric is proposed to investigate the improvement of flexibility amount via ESSs modules in the numerical structure. In this paper, a novel repetitive fast offline method has been proposed to quickly reach the desired amount of flexibility by defining an engineering price/benefit trade-off to finally find the best investment plan. Also, multiple uncertainties associated with wind farms and demanded loads and a practical module-type battery energy storage system (BESS) structure for each node are defined. The proposed model is applied to the modified IEEE 73-bus test system including wind farms, where the numerical results prove the model efficiency as BESS impacts on flexibility, investment plans and power system economics.Description
Funding Information: This work was supported in part by INSF. Publisher Copyright: © 2022 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
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Mazaheri, H, Saber, H, Fattaheian-Dehkordi, S, Moeini-Aghtaie, M, Fotuhi-Firuzabad, M & Lehtonen, M 2022, ' Harnessing power system flexibility under multiple uncertainties ', IET Generation Transmission and Distribution, vol. 16, no. 14, pp. 2878-2890 . https://doi.org/10.1049/gtd2.12526