PURPOSE The aim of this study is to investigate whether organizational justice climate at the workplace level is associated with individual staff members' perceptions of care quality and affective commitment to the workplace. METHODS The study adopts a cross-sectional multi-level design. Data were collected using an electronic survey and a response rate of 75% was obtained. Organizational jus...

This paper presents a novel approach to solve the Multi-Area unit –commitment problem using a evolutionary programming technique. The objective of the Multi-Area unit commitment problem is to determine the optimal or a near optimal commitment strategy for generating units located in multiple areas that are interconnected via tie –lines and joint operation of generation resources can result in s...

Everyday, electricity generation companies submit a generation schedule to the grid operator for the coming day; computing an optimal schedule is called the unit-commitment problem. Generation companies can also occasionally submit changes to the schedule, that can be seen as intra-daily incomplete recourse actions. In this paper, we propose a two-stage formulation of unit-commitment, wherein b...

OBJECTIVE The aim of this study was to test a multilevel model linking unit-level leader-member exchange quality and structural empowerment to nurses' psychological empowerment and organizational commitment at the individual level of analysis. BACKGROUND Few studies have examined the contextual effects of unit leadership on individual nurse outcomes. Workplace empowerment has been related to ...

The profit based unit commitment problem involves determining the time intervals at which a particular generating unit should be online and available for generation, and the associated generation or dispatch, the aim being to maximize its total profits based on a given price profile. This problem can be attacked by various techniques like single unit dynamic programming, lagrangian relaxation, ...

The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the Unit Commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges — stochastic and robust optimization — have drawbacks that prevent or restrict their application to real-world systems. This pa...

This paper presents a binary PSO based solution technique for power system unit commitment. The intelligent generation of initial population and the repairing mechanism ensure feasible solution that satisfies the spinning reserve and unit minimum up/down constraints. The algorithm adoptively adjusts the inertia weight and the acceleration coefficients in order to enhance the search process and ...

Unit commitment is a complex decision-making process because of multiple constraints which must not be violated while nding the optimal or a near-optimal commitment schedule. This paper discusses the application of genetic algorithms for determining short term commitment order of thermal units in power generation. The objective of the optimal commitment is to determine the on/oo states of the u...

The unit commitment (UC) problem aims to find an optimal schedule of generating units subject to demand and operating constraints for an electricity grid. The majority of existing algorithms for the UC problem rely on solving a series of convex relaxations by means of branch-and-bound and cuttingplanning methods. The objective of this paper is to obtain a convex model of polynomial size for pra...

Ant colony optimization (ACO) was inspired by the observation of natural behavior of real ants’ pheromone trail formation and foraging. Ant colony optimization ismore suitable for combinatorial optimization problems. ACO is successfully applied to the traveling salesman problem. Multistage decision making of ACO gives an edge over other conventional methods. This paper proposes evolving ant col...