Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

Ahmed T. Hachemi, Fares Sadaoui, Abdelhakim Saim (), Mohamed Ebeed, Hossam E. A. Abbou and Salem Arif
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Ahmed T. Hachemi: Electrical Engineering Laboratory, University of Kasdi Merbah, Ouargla 30000, Algeria
Fares Sadaoui: Electrical Engineering Laboratory, University of Kasdi Merbah, Ouargla 30000, Algeria
Abdelhakim Saim: IREENA Laboratory, Nantes University, 44035 Nantes, France
Mohamed Ebeed: Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt
Hossam E. A. Abbou: LACoSERE Laboratory, University of Amar Telidji, Laghouat 03000, Algeria
Salem Arif: LACoSERE Laboratory, University of Amar Telidji, Laghouat 03000, Algeria

Sustainability, 2023, vol. 15, issue 24, 1-32

Abstract: This paper demonstrates the effectiveness of Demand Side Response (DSR) with renewable integration by solving the stochastic optimal operation problem (OOP) in the IEEE 118-bus distribution system over 24 h. An Improved Walrus Optimization Algorithm (I-WaOA) is proposed to minimize costs, reduce voltage deviations, and enhance stability under uncertain loads, generation, and pricing. The proposed I-WaOA utilizes three strategies: the fitness-distance balance method, quasi-opposite-based learning, and Cauchy mutation. The I-WaOA optimally locates and sizes photovoltaic (PV) ratings and wind turbine (WT) capacities and determines the optimal power factor of WT with DSR. Using Monte Carlo simulations (MCS) and probability density functions (PDF), the uncertainties in renewable energy generation, load demand, and energy costs are represented. The results show that the proposed I-WaOA approach can significantly reduce costs, improve voltage stability, and mitigate voltage deviations. The total annual costs are reduced by 91%, from 3.8377 × 10 7 USD to 3.4737 × 10 6 USD. Voltage deviations are decreased by 63%, from 98.6633 per unit (p.u.) to 36.0990 p.u., and the system stability index is increased by 11%, from 2.444 × 10 3 p.u. to 2.7245 × 10 3 p.u., when contrasted with traditional methods.

Keywords: distribution network; Renewable Energy Sources; multi-objective function; optimal operation; Improved Walrus Optimization Algorithm; Demand Side Response (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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