Integration of Renewable based distributed generations (DGs) along with capacitor banks (CBs) aim to improve the performance of the distribution system (DS). This paper presents an Improved grey wolf optimizer (IGWO) for simultaneous allocation of multi-DG with CBs in DS. The proposed technique aims to enhance technical, environmental, and economical benefits. The multi-objective examined in this paper are reduction of power losses, voltage profile improvement, cost minimization, and control of harmful environmental gases. Widely used and most common renewable energy resources (RERs) are considered for integration in DS. Solar Photovoltaic (PV) and wind-based DGs are integrated into DS with probabilistic generation to fulfill load demand in order to minimize multi-objective function (MOF). The IGWO algorithm is implemented on radial DS namely IEEE 33-bus and 69-bus system. The proposed IGWO provides better results as compared to optimization techniques available in the literature.

Simultaneous allocation of multi-DG with capacitor banks in distribution system using IGWO / Malik, S.; Nadeem Khan, M. F.; Sajjad, I. A.; Martirano, L.. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International conference on environment and electrical engineering and 2022 IEEE Industrial and commercial power systems Europe, EEEIC / I and CPS Europe 2022 tenutosi a Prague; Czech Republic) [10.1109/EEEIC/ICPSEurope54979.2022.9854766].

Simultaneous allocation of multi-DG with capacitor banks in distribution system using IGWO

Martirano L.
2022

Abstract

Integration of Renewable based distributed generations (DGs) along with capacitor banks (CBs) aim to improve the performance of the distribution system (DS). This paper presents an Improved grey wolf optimizer (IGWO) for simultaneous allocation of multi-DG with CBs in DS. The proposed technique aims to enhance technical, environmental, and economical benefits. The multi-objective examined in this paper are reduction of power losses, voltage profile improvement, cost minimization, and control of harmful environmental gases. Widely used and most common renewable energy resources (RERs) are considered for integration in DS. Solar Photovoltaic (PV) and wind-based DGs are integrated into DS with probabilistic generation to fulfill load demand in order to minimize multi-objective function (MOF). The IGWO algorithm is implemented on radial DS namely IEEE 33-bus and 69-bus system. The proposed IGWO provides better results as compared to optimization techniques available in the literature.
2022
2022 IEEE International conference on environment and electrical engineering and 2022 IEEE Industrial and commercial power systems Europe, EEEIC / I and CPS Europe 2022
capacitor banks renewable-based DG; Distributed generations; distribution system; improved grey wolf optimizer; photovoltaic; wind
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Simultaneous allocation of multi-DG with capacitor banks in distribution system using IGWO / Malik, S.; Nadeem Khan, M. F.; Sajjad, I. A.; Martirano, L.. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International conference on environment and electrical engineering and 2022 IEEE Industrial and commercial power systems Europe, EEEIC / I and CPS Europe 2022 tenutosi a Prague; Czech Republic) [10.1109/EEEIC/ICPSEurope54979.2022.9854766].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1668179
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