Preprints
https://doi.org/10.5194/wes-2023-83
https://doi.org/10.5194/wes-2023-83
18 Jul 2023
 | 18 Jul 2023
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

HyDesign: a tool for sizing optimization for grid-connected hybrid power plants including wind, solar photovoltaic, and Li-ion batteries

Juan Pablo Murcia Leon, Hajar Habbou, Mikkel Friis-Møller, Megha Gupta, Rujie Zhu, and Kaushik Das

Abstract. Hybrid renewable power plants consisting of collocated wind, solar photo-voltaic (PV) and Lithium-ion battery storage connected behind a single grid connection can provide additional value to the owners and to society in comparison to individual technology plants such as only wind or only solar-PV. These benefits become significant in projects that have requirements to supply a certain amount of energy during peak hours given a set of grid capacity constraints or when the plant is selling the electricity with time-varying electricity prices. The hybrid power plants considered in this article are connected to the grid and share electrical infrastructure costs across the different generation and storing technologies. In this article, we propose a methodology for sizing of hybrid power plants as an optimization problem that maximizes the net present values over capital expenditures and compares it with standard designs that minimize the levelized cost of energy. The sizing problem formulation includes turbine selection (in terms of rated power, specific power and hub height), a wind plant wake losses surrogate, simplified photo-voltaic panel degradation, an internal energy management system operation optimization and battery degradation. The multi-disciplinary optimization problem is solved using a new parallel "efficient global optimization" algorithm. This new algorithm is a surrogate-based optimization method that ensures a minimal number of model evaluations but ensures a global scope in the optimization. The methodology presented in this article is available in an open-source tool called HyDesign. The hybrid sizing algorithm is applied for a peak-power plant use case at different locations in India where the renewable energy auctions impose a monetary penalty when energy is not supplied at peak hours.

Juan Pablo Murcia Leon, Hajar Habbou, Mikkel Friis-Møller, Megha Gupta, Rujie Zhu, and Kaushik Das

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-83', Anonymous Referee #1, 02 Aug 2023
    • AC1: 'Reply on RC1', Juan Pablo Murcia Leon, 12 Nov 2023
  • RC2: 'Comment on wes-2023-83', Anonymous Referee #2, 05 Oct 2023
    • AC2: 'Reply on RC2', Juan Pablo Murcia Leon, 12 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-83', Anonymous Referee #1, 02 Aug 2023
    • AC1: 'Reply on RC1', Juan Pablo Murcia Leon, 12 Nov 2023
  • RC2: 'Comment on wes-2023-83', Anonymous Referee #2, 05 Oct 2023
    • AC2: 'Reply on RC2', Juan Pablo Murcia Leon, 12 Nov 2023
Juan Pablo Murcia Leon, Hajar Habbou, Mikkel Friis-Møller, Megha Gupta, Rujie Zhu, and Kaushik Das
Juan Pablo Murcia Leon, Hajar Habbou, Mikkel Friis-Møller, Megha Gupta, Rujie Zhu, and Kaushik Das

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Short summary
A methodology for early design of hybrid power plants (HPP: wind, solar PV and Li-ion battery storage) consisting of a nested optimization that sizes the components and an internal operation optimization. Tradditional HPP designs that minimize the cost of energy give worst business cases and do not include storage. Optimal operation balances the increasing revenues and faster battery degradation. Battery degradation and replacement costs are needed to estimate the viability a hybrid projects.
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