PowNet-Thailand v1.3: Network-constrained Unit Commitment / Economic Dispatch model for the Thai power system with sample data
DOI10.5281/zenodo.4699563Zenodo4699563MaRDI QIDQ6693320
Dataset published at Zenodo repository.
Rachel Koh, Thanh Duc Dang, Stefano Galelli, Hung Tan Thai Nguyen, Afm Kamal Chowdhury, Ng Jia Yi
Publication date: 18 April 2021
Copyright license: MIT license
PowNet-Thailand is an implementation of PowNetmodel on the Thai power system. The model is developed based on the load (domestic and exports) and infrastructure (power plants, substations, and high-voltage transmission lines) of the Thai power system operated in 2016, including a number of Laotian hydro and thermal power plants that supply to Thailand. The power systems data are mostly collected from publicly available reports, published by Electricity Generating Authority of Thailand (EGAT), Energy Policy and Planning Office (EPPO) Thai Ministry of Energy, Electricite Du Laos (EDL), and the Department of Energy Policy and Planning (DEPP) Laotian Ministry of Energy and Mine. The hydropower budget are simulated withVIC-Res. Please refer to Chowdhury et al. (2020a) for additional details on the power system and model setup. For 2016, the repository contains input data, output data, and a Python script for a sample analysis. In addition, climate-dependent input data (e.g., hydropower budget) for a 30-year (1976-2005) simulation period, used in Chowdhury et al. (2020a), are also provided. Outputs for any of these years can be obtained by running PowNet-Thailand through the following two steps: (1) change simulation year in pownet_thai_datasetup.py, and (2) run pownet_thai_solver.py. The basic functionalities and input-output structure of PowNet are described in Chowdhury et al. (2020b). Step-by-step instructions on how to run and customize PowNet for any power system are provided in this GitHub repository. If you use PowNet-Thailand and/or the data for your research, please cite the following papers: Chowdhury, A.K., Dang, T.D., Nguyen, H.T., Koh, R., and Galelli, S., (2020a). The Greater Mekongs climate-water-energy nexus: how ENSO-triggered regional droughts affect power supply and CO2 emissions.Submitted to Earths Future, DOI: https://doi.org/10.1002/essoar.10504393.1. Chowdhury, A.K., Kern, J., Dang, T.D. and Galelli, S., (2020b). PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis. Journal of Open Research Software, 8(1), p.5. DOI: http://doi.org/10.5334/jors.302.
This page was built for dataset: PowNet-Thailand v1.3: Network-constrained Unit Commitment / Economic Dispatch model for the Thai power system with sample data
