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Sizing of Hybrid Power System with varying current type using numerical probabilistic approach

Liu, W.H. and Wan Alwi, S.R. and Hashim, H. and Lim, J.S. and Mohammad Rozali, N.E. and Ho, W.S. (2016) Sizing of Hybrid Power System with varying current type using numerical probabilistic approach. Applied Energy, 184 . pp. 1364-1373.

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Abstract

Power Pinch Analysis is an established method to target the design parameter of a Hybrid Power System. This study aims to develop an extended tool known as Probability-Power Pinch Analysis (P-PoPA) using probability theory to simplify the process of Power Pinch Analysis in considering efficiency losses. The method targets for a Hybrid Power System with various current type from generation to demand, generation to storage, or storage to demand. The procedure of the method is illustrated using an electricity-deficit scenario where both AC�DC generation and AC�DC demand are present. The new methodology which adapts the same concept as the Stand-Alone Hybrid System Power Pinch Analysis utilizes data extracted from an ideal (considering no efficiency losses) graphical Power Pinch Analysis and Power Cascade Table and multiplying the extracted data with a probability factor to obtain an estimated target (considering efficiency losses) for the power system. In this study, three design parameters are determined for a system with 208 kW h AC source and 50 kW h DC source and 170 kW h AC demand and 98 kW h DC demand. The external energy that is needed for the system is identified as 38.93 kW h and the energy capacity of energy storage is 42.20 kW h and power capacity of energy storage is 8.79 kW. The result is then compared with the existing cascade analysis, Power Cascade Table and Storage Cascade Table. The determined sizing values have a close estimation to that from cascading analysis (considering efficiency losses), with a maximum percentage difference of 2.3. © 2016 Elsevier Ltd

Item Type:Article
Impact Factor:cited By 18
Uncontrolled Keywords:Electric energy storage; Energy storage; Hybrid systems; Probability; Renewable energy resources, Cascade analysis; Design parameters; Hybrid power systems; Pinch analysis; Probabilistic approaches; Renewable energies; Stand-alone hybrid system; Using probabilities, Digital storage, alternative energy; design; energy planning; numerical method; probability; renewable resource; storage
ID Code:25712
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:27 Aug 2021 09:20
Last Modified:27 Aug 2021 09:20

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