A Modified Artificial Bee Colony for Probabilistic Peak Shaving Technique in Generators Operation Planning: Optimal Cost–Benefit Analysis

Daw Saleh Sasi Mohammed, Muhammad Murtadha Othman and Ahmed Elbarsha
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Daw Saleh Sasi Mohammed: Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor 40450, Malaysia
Muhammad Murtadha Othman: Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor 40450, Malaysia
Ahmed Elbarsha: Department of Electrical and Electronic Engineering, Bright Star University, Brega 858, Libya

Energies, 2020, vol. 13, issue 12, 1-23

Abstract: In the generation of operating system planning, saving utility cost ( SUC ) is customarily implemented to attain the forecasted optimal economic benefits in a generating system associated with renewable energy integration. In this paper, an improved approach for the probabilistic peak-shaving technique (PPS) based on computational intelligence is proposed to increase the SUC value. Contrary to the dispatch processing of the PPS technique, which mainly relies on the dispatching of each limited energy unit in sequential order, a modified artificial bee colony with a new searching mechanism (MABC-NSM) is proposed. The SUC is originated from the summation of the Saving Energy Cost and Saving Expected Cycling Cost of the generating system. In addition, further investigation for obtaining the optimal value of the SUC is performed between the SUC determined directly and indirectly estimated by referring to the energy reduction of thermal units ( ERTU ). Comparisons were made using MABC-NSM and a standard artificial bee colony and verified on the modified IEEE RTS-79 with different peak load demands. A compendium of the results has shown that the proposed method is constituted with robustness to determine the global optimal values of the SUC either obtained directly or by referring to the ERTU . Furthermore, SUC increments of 7.26% and 5% are achieved for 2850 and 3000 MW, respectively.

Keywords: artificial bee colony; integrated resource planning; probabilistic production cost equivalent load duration curve; frequency and duration method; limited energy units (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: 2020
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