Restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the Distributed Generation (DG) resources. DG units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. In this paper, the allocation and sizing of di...

In emerging electric power systems, increased transactions often lead to the situations where the system no longer remains in secure operating region. The flexible Ac transmission system (FACTS) controllers can play an important role in the power system security enhancement. However, due to high capital investment, it is necessary to locate these controllers optimally in the power system. FACTS...

The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned voltage stability at the point common coupling (PCC). In a network connected WPP, short-circuit ratio (SCR) and impedance angle seen PCC (X/RPCC) are most important parameters, which affect (VPCC) stability. Hence, design engineers need to conduct WPP siting sizing assessment consideri...

This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. solution is grounded the ability of assembly (wind turbine plus floater) to self-orientate into direction, as this concept allowed freely pivot single point. passive yaw potential currently in demonstration phase. A genetic algorithm proposed levelised cost energy by determining geograp...

  This paper proposes two relax and fix heuristics for the simultaneous lot sizing and sequencing problem in permutation flow shops involving sequence-dependent setups and capacity constraints. To evaluate the effectiveness of mentioned heuristics, two lower bounds are developed and compared against the optimal solution. The results of heuristics are compared with the selected lower bound .

Battery energy storage (BES) is a versatile resource for the secure and economic operation of microgrids (MGs). Prevailing stochastic optimization-based approaches BES expansion planning MGs are computationally complicated. This work proposes data-driven bi-level multi-period framework to determine siting, sizing, timing installations. The proposed unifies deep reinforcement learning (DRL) line...