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Full-Text Articles in Engineering
Optimal Allocation Of Battery Energy Storage Systems To Enhance System Performance And Reliability In Unbalanced Distribution Networks, Dong Zhang, G. M. Shafiullah, Choton K. Das, Kok W. Wong
Optimal Allocation Of Battery Energy Storage Systems To Enhance System Performance And Reliability In Unbalanced Distribution Networks, Dong Zhang, G. M. Shafiullah, Choton K. Das, Kok W. Wong
Research outputs 2022 to 2026
The continuously increasing renewable distributed generation (DG) penetration rate significantly reduces environmental pollution and power generation cost and satisfies society’s rapid growth in electricity demand. Nevertheless, high penetration of renewable DGs, such as wind power and photovoltaics (PV), might deteriorate the system’s efficiency and reliability due to its intermittent and stochastic natures. Introducing battery energy storage systems (BESSs) to the distribution system provides a practical method to compensate for the above deficiency since it can deliver and absorb power when needed. Hence, it is important to determine the optimal allocation of BESS to achieve maximum assistance in the grid. This …
Using Artificial Neural Network To Calculate Steady State Conditions, Nuriddin Nurali O'G'Li Normamatov, Muzaffar Burhanovich Khudayarov, Temurkhan Abduvahab O'G'Li Ikramov
Using Artificial Neural Network To Calculate Steady State Conditions, Nuriddin Nurali O'G'Li Normamatov, Muzaffar Burhanovich Khudayarov, Temurkhan Abduvahab O'G'Li Ikramov
Karakalpak Scientific Journal
The power systems steady-state problem are described by a system of nonlinear equations, and for their solution are widely used iterative techniques such as the Newton-Raphson and others. Recently, techniques based on the use of genetic algorithms, the theory of fuzzy sets, artificial neural networks have been applied to solve this problem. In this article feedforward neural networks are used for calculating the steady-state regimes. The modeling results were obtained with the results of calculations using the Newton-Raphson method.
Smart Management Strategies Of Utility-Scale Energy Storage Systems In Power Networks, Choton Kanti Das
Smart Management Strategies Of Utility-Scale Energy Storage Systems In Power Networks, Choton Kanti Das
Theses: Doctorates and Masters
Power systems are presently experiencing a period of rapid change driven by various interrelated issues, e.g., integration of renewables, demand management, power congestion, power quality requirements, and frequency regulation. Although the deployment of Energy Storage Systems (ESSs) has been shown to provide effective solutions to many of these issues, misplacement or non-optimal sizing of these systems can adversely affect network performance. This present research has revealed some novel working strategies for optimal allocation and sizing of utility-scale ESSs to address some important issues of power networks at both distribution and transmission levels. The optimization strategies employed for ESS placement and …