this paper presents a new strategy based on multi-stage fuzzy (msf) pid controller based on artificial bee colony (abc) for damping power system stabilizer (pss) in multi-machine environment. the recent studies in artificial intelligence demonstrated that the abc optimization is strong intelligent method in complicated stability problems. also, finding the parameters of pid controller in power ...

load management and cost optimization are among the important factors in trigenerationsystems and combined cooling, heating and power (cchp) systems. in this study, an innovative cchpsystem uses a gas turbine as the prime mover and has a heat recovery steam generator (hrsg) in addition toan auxiliary boiler, electric and absorption chillers. the system is tied with the bulk electric grid; to ex...

in this paper, optimal design of hybrid solar-wind- diesel energy system with battery storage for reliable load in arsoon village in ardabil is presented. the village has 35 households that mean daily energy consumption is estimated 63.4 kwh. in this design optimization is implemented, considering loss of power supply probability (lpsp) index for reliable load providing, with minimum total cons...

1 Abstract— Power management strategy is as significant as component sizing in achieving optimal fuel economy of a fuel cell hybrid vehicle (FCHV). We have formulated a combined power management/design optimization problem for the performance optimization of FCHVs. This includes subsystem-scaling models to predict the characteristics of components of different sizes. In addition, we designed a ...

A flurry of recent work has examined the interaction between system design and power optimization, with the promise of energy savings. We find that the power consumed by current commodity hardware can be well-approximated by a model with two components: a large always-present constant power and a linear power-performance tradeoff. As a result, many proposed optimizations currently have limited ...

Given a graph with costs on the edges, the power of a node is the maximum cost of an edge leaving it, and the power of the graph is the sum of the powers of the nodes of this graph. Motivated by applications in wireless multi-hop networks, we consider four fundamental problems under the power minimization criteria: the Min-Power b-Edge-Cover problem (MPb-EC) where the goal is to find a min-powe...

In a de-regulated open access environment, reactive power is one of the ancillary services which must be provided by an Independent System Operator (ISO). In this paper, a new algorithm is proposed in which reactive power resources are initially so tuned that optimum security in terms of voltage profile and voltage stability are achieved while at the same time, the system losses are minimized. ...

Power system operation involves some kind of optimization for ensuring economy, security and stability. Economic load dispatch is one such optimization problems and it is applied for minimizing the total fuel cost. Optimizing the fuel cost is done by properly setting the real power generation from the generators in a power system. Differential evolution is a simple and efficient evolutionary al...

Beamforming-array signal processing is a powerful means of increasing capacity and coverage of the mobile communication networks. It supports the next generation broadband cellular system to efficiently carry populated traffic over a limited spectrum due to its co-channel interference mitigation capability. This paper presents performance comparison of three beamforming methods namely null stee...

Convex models in each optimization class are then developed in parallel for a variety of practical applications such as unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this book is an invaluable resource for students and researchers from indu...