Working paper Open Access
Algorithms for optimized Hybrid Power Plant operation through ME4HP implementation
Rubén de Arriba Aparicio; Daniel Rayo García
This document presents the main algorithms developed in the framework of the ME4HP tool as part of CROSSBOW project. These algorithms are focused on providing different strategies for supporting the Hybrid Power Plant (HPP) operation according to the following objectives: i) to supply the power according to different power demand curves, ii) to increment the revenues of the HPP due to energy sale, iii) to demonstrate the capacity of HPP to provide ancillary services, and iv) to demonstrate the functionalites of HPP after a zero voltage event. This document also includes a detailed explanation of the methodology and its implementation in Matlab, considering as main inputs: the weather, energy prices and energy demand forecast, as well as the power system operator constrains. In addition, the results of the tool demonstrate these functionalities and highlights the adaptability of the tool against different plant configurations and operation modes.
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Paper ME4HP.pdf
md5:8dc44926f0b1de2794821cd88e1f501a |
1.1 MB | Download |
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Paper ME4HP_v2.pdf
md5:bbc13fcf26915882483e0bc78ec25b8e |
651.0 kB | Download |
| All versions | This version | |
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| Views | 62 | 35 |
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| Data volume | 52.7 MB | 29.9 MB |
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- Publication date:
- November 26, 2020
- DOI:
-
- Keyword(s):
- hybrid power plant optimization RES-DU CROSSBOW PV Wind farm battery storage renewable ancillary services
- Grants:
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European Commission:
- CROSSBOW - CROSS BOrder management of variable renewable energies and storage units enabling a transnational Wholesale market (773430)
- License (for files):
- Creative Commons Attribution 4.0 International