Print Email Facebook Twitter Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems Title Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems Author Moradi Sepahvand, M. (TU Delft Intelligent Electrical Power Grids) Tindemans, Simon H. (TU Delft Intelligent Electrical Power Grids) Date 2023 Abstract The growing penetration of renewable energy sources (RESs) is inevitable to reach net zero emissions. In this regard, optimal planning and operation of power systems are becoming more critical due to the need for modeling the short-term variability of RES output power and load demand. Considering hourly time steps of one or more years to model the operational details in a long-term expansion planning scheme can lead to a practically unsolvable model. Therefore, a clustering-based hybrid time series aggregation algorithm is proposed in this paper to capture both extreme values and temporal dynamics of input data by some extracted representatives. The proposed method is examined in a complex co-planning model for transmission lines, wind power plants (WPPs), short-term battery and long-term pumped hydroelectric energy storage systems. The effectiveness of proposed mixed-integer linear programming (MILP) model is evaluated using a modified 6-bus Garver test system. The simulation results confirm the proposed model efficacy, especially in modeling long-term energy storage systems. Subject Energy Storage SystemRepresentative Time PeriodTransmission Expansion PlanningTime Series AggregationWind Power Plant To reference this document use: http://resolver.tudelft.nl/uuid:3f30a392-38f0-48d9-a90f-74d524d72431 DOI https://doi.org/10.1109/PowerTech55446.2023.10202993 Publisher IEEE, Piscataway Embargo date 2024-02-09 ISBN 978-1-6654-8779-5 Source Proceedings of the 2023 IEEE Belgrade PowerTech Event 2023 IEEE Belgrade PowerTech, 2023-06-25 → 2023-06-29, Belgrade, Serbia Series 2023 IEEE Belgrade PowerTech, PowerTech 2023 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2023 M. Moradi Sepahvand, Simon H. Tindemans Files PDF Capturing_Chronology_and_ ... ystems.pdf 3.97 MB Close viewer /islandora/object/uuid:3f30a392-38f0-48d9-a90f-74d524d72431/datastream/OBJ/view