ISBN: 978-981-18-7950-0 DOI: 10.18178/wcse.2023.06.052
Optimal Economic Dispatch of Hybrid Distributed Generators with Battery Energy Storage System using a Modified Meta Heuristic Algorithm
Abstract—A battery energy storage system (BESS) is commonly embedded when designing a power system. It provides stability and improves the reliability and overall capacity of the system. Unmonitored depth of discharge (DOD) results in multiple problems in the microgrid, such as increasing battery's operational cost and lower life cycle count in which economic and reliability issues arise. This study proposed a modified meta-heuristic algorithm to solve the economic dispatch problem of a hybrid distributed IEEE 9-bus system by integrating a BESS. The hybrid energy system consists of diesel generators (DG) and photovoltaic (PV) farms with the uncertainty of solar irradiance and temperature variability. This study focuses on minimizing the operational cost of distributed generation by monitoring the battery's DOD. The researchers considered a DOD configuration of 0.660 with an incremental of 2% until it reaches the maximum of 1.000. The researchers implemented the hybrid system and the proposed algorithm in MATLAB software. The result shows that the proposed algorithm reduced the system's operational cost to a maximum of 73.62% and increased the maximum life cycle expectancy of the battery by 11.67% by having a DOD configuration of 0.660.
Index Terms—Distributed Generation, Hybrid Energy Source, Battery Energy Storage System (BESS), Depth of Discharge (DOD), Economic Load Dispatch, Microgrid Optimization
Harold de Jesus, Joseph Leuvin Esguerra, Michael Pacis
School of Electrical, Electronics, and Computer Engineering, Mapúa University – Intramuros, PHILIPPINES
Cite: Harold de Jesus, Joseph Leuvin Esguerra, Michael Pacis, "Optimal Economic Dispatch of Hybrid Distributed Generators with Battery Energy Storage System using a Modified Meta Heuristic Algorithm" Proceedings of 2023 the 13th International Workshop on Computer Science and Engineering (WCSE 2023), pp. 349-354, June 16-18, 2023.