Optimal Allocation of Solar-PV and STATCOM Using PSO with Multi-Objective Approach to Improve the Overall System Performance

Kumar, Prince; Bohre, Aashish Kumar

doi:10.1007/978-981-16-6970-5_49

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…A multiarea system is simulated in [49] using TLBO (teaching learning-based optimization) which provides better resilience in generation control during case of disturbances on power network. An improved reconfigured power network has been proposed in [50,51] where authors have utilized PSO for suitable sizing of solar PV and STATCOM in such a manner that power losses can be reduced and voltage profile can be improved. Authors of [52] have proposed wind power integration in multiarea hybrid power system using firefly optimization for enhanced robustness considering different climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Integration of Green Hydrogen in Renewable Energy Systems for Residential and EV Applications

Das,

Chakraborty,

Bohre

et al. 2024

International Journal of Energy Research

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The surge in interest surrounding renewable energy stems from concerns regarding pollution and the finite supply of nonrenewable resources. Solar PV and wind hybrid renewable energy systems (HRES) are increasingly recognized as practical and cost-effective solutions, particularly in remote areas. However, the intermittent nature of solar and wind power presents a challenge. To address this, incorporating a hydrogen source into the system has been proposed. This study focuses on modelling and sizing a hybrid energy system tailored for remote areas, accommodating both home and electric vehicle loads. The simulation is conducted for Siliguri, West Bengal, India, with the goal of optimizing productivity, minimizing expenses, and considering economic factors using HOMER Pro software. The integration of green hydrogen-based power generation with photovoltaic and wind HRES emerges as an effective solution. Solar power, in particular, showcases promising opportunities for the electrolysis process and HRES systems. The presented work facilitates the modelling of a green hydrogen-based green energy system, taking into account capacity, cost, and emission constraints. Various case studies are conducted to enhance system efficiency and reduce the costs of energy (COE). In this paper, three cases of grid-connected and three cases of off-grid or grid-disconnected systems are considered for highlighting the benefits of hydrogen energy incorporation in both types of systems. This research contributes to sustainable energy solutions, advancing a greener and more efficient energy landscape, especially in addressing the recent development in load combinations of home and electric vehicle loads in both grid-connected as well as grid-disconnected system.

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Section: Introductionmentioning

confidence: 99%

Sustainable Integration of Green Hydrogen in Renewable Energy Systems for Residential and EV Applications

Das,

Chakraborty,

Bohre

et al. 2024

International Journal of Energy Research

Self Cite

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“…Hybrid controllers combine different control strategies to achieve improved performance in regulating the frequency of the power system. Authors in 5 , 6 discuss the design and optimization of fitness or cost functions. These functions play a crucial role in determining the optimal control strategies and parameters for power system operation.…”

Section: Introductionmentioning

confidence: 99%

Intelligent planning of controllers for improved resilience in multi-area system involving nuclear power

Kumar,

Kumar Bohre

et al. 2023

Sci Rep

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Increased innovation on finding new ways to generate energy from different sources to meet the growing demand of consumers has led to various challenges in controlling the power network when it faces different disruptions. To address these challenges, a new approach has been proposed in this research paper, which combines a controller with a soft computing technique called Particle Swarm Optimization (PSO). The study considers a power system with four units, where three different energy sources are utilized and distributed across two areas. Each area has two power sources, with one area having a combination of thermal and gas power plants, and the other area consisting of a nuclear power plant and a gas power plant. Transmitting power from the nuclear power plant is particularly complex due to its high sensitivity to disturbances. Therefore, an intelligent and efficient controller is needed to ensure robust control in this type of power network that includes nuclear power. The paper also conducts a thorough analysis of the harmful emissions associated with electricity generation from the different power plants considered. The goal is to reduce the carbon footprint associated with power generation. The proposed work and analysis in the paper are implemented using the MATLAB/SIMULINK environment.

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An Osprey Optimization Based Efficient Controlling of Nuclear Energy-Based Power System

Kumar,

Bohre

et al. 2024

Communications in Computer and Information Science

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Optimal Allocation of Solar-PV and STATCOM Using PSO with Multi-Objective Approach to Improve the Overall System Performance

Cited by 8 publications

References 14 publications

Sustainable Integration of Green Hydrogen in Renewable Energy Systems for Residential and EV Applications

Sustainable Integration of Green Hydrogen in Renewable Energy Systems for Residential and EV Applications

Intelligent planning of controllers for improved resilience in multi-area system involving nuclear power

An Osprey Optimization Based Efficient Controlling of Nuclear Energy-Based Power System

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