Optimal Dispatching of Smart Hybrid Energy Systems for Addressing a Low-Carbon Community

Wei Wu (), Shih-Chieh Chou and Karthickeyan Viswanathan
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Wei Wu: Department of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan
Shih-Chieh Chou: Department of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan
Karthickeyan Viswanathan: Department of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan

Energies, 2023, vol. 16, issue 9, 1-19

Abstract: A smart hybrid energy system (SHES) is presented using a combination of battery, PV systems, and gas/diesel engines. The economic/environmental dispatch optimization algorithm (EEDOA) is employed to minimize the total operating cost or total CO 2 emission. In the face of the uncertainty of renewable power generation, the constraints for loss-of-load probability (LOLP) and the operating reserve for the rechargeable battery are taken into account for compensating the imbalance between load demand and power supplies. The grid-connected and islanded modes of SHES are demonstrated to address a low-carbon community. For forecasting load demand, PV power, and locational-based marginal pricing (LBMP), the proper forecast model, such as long short-term memory (LSTM) or extreme gradient boosting (XGBoost), is implemented to improve the EEDOA. A few comparisons show that (i) the grid-connected mode of SHES is superior to the islanded-connected mode of SHES due to lower total operating cost and less total CO 2 -eq emissions, and (ii) the forecast-assisted EEDOA could effectively reduce total operating cost and total CO 2 -eq emissions of both modes of SHES as compared to no forecast-assisted EEDOA.

Keywords: power dispatch; forecasting; optimization; operating reserve; smart hybrid energy system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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