PROBABILISTIC DISTRIBUTION SYSTEM PLANNING: INTEGRATING PV-BASED DG, DSTATCOM, AND RECONFIGURATION UNDER SOLAR IRRADIANCE AND LOAD UNCERTAINTIES

Pragya Guru, Nitin Malik, Sheila Mahapatra

DOI Number
https://doi.org/10.2298/FUEE2503397G
First page
397
Last page
430

Abstract


Recent technological developments in power distribution networks (PDN) have triggered significant interest regarding the optimal operation of power grids. Despite the high cost of power network development and installation, there is a significant opportunity to improve voltage deviation, reduce power loss, boost efficiency, and ultimately raise system stability. This can be accomplished by reconfiguring the network and allocating distributed generations (DG) and distribution FACT devices, like distribution static compensator (DSTACOM), in the most effective way while considering the stochastic nature of solar irradiance variations, uncertainties, and load variations. The presented article enumerates the planning for optimal photovoltaic distributed generation (PVDG) and DSTATCOM device with Network Reconfiguration (NRX) using a hybrid marine predator jellyfish algorithm (HMPJA). Inspired by the coordinated movements of jellyfish and the effective hunting techniques of marine predators such as sharks, the HMPJA was created. It seeks to improve the exploration, exploitation, resilience, and flexibility of optimization algorithms in handling challenging situations by combining these tactics. Inspired by the social behavior of jellyfish and marine predators, this hybrid algorithm is used to evaluate the techno-economic benefits of installing PVDG and DSTACOM in radial PDN with reconfiguration. With multi-objective function Cost reduction, voltage stability enhancement, and voltage profile (VP) augmentation in radial PDN are the primary goals of the current study. The IEEE 33- and 69-bus systems are used to demonstrate the efficacy of the HMPJA, demonstrating notable decreases in energy and power losses and improved VP with overall net profit. A comparison of the suggested strategy with other nature-inspired alternatives demonstrates its superiority. The findings of the proposed approach provide valuable insights for distribution system planning and operation in future grids with high renewable energy source penetration.

Keywords

Marine Predator Algorithm, Jellyfish Search, Radial Distribution System, DSTATCOM, PVDG, Reconfiguration

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References


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