Abstract
Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.
Highlights
Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Sahiwal Campus, Punjab 57000, Pakistan
Most researchers claimed that their proposed dispatch strategy is the most efficient one
Some of these claims are based on a vague comparison
Summary
The primary energy networks are transforming from centralized to distributed, and developing into more interconnected networks [1,2], for example, the electricity grid and natural gas network. These two networks have started coupling to support each other and overcome their problems. This will make their algorithms’ comparison more evident and significant In this data descriptor article, the authors provided the dataset and mathematical models related to different components of microgrids, and a proposed strategy’s results. The aforesaid dataset contains hourly readings of metrological information for renewable energy sources (RESs), microgrid components’ mathematical models and the proposed strategy’s results
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