This paper presents an energy management system (EMS) for single-phase or balanced three-phase microgrids via robust convex optimization. Along a finite planning horizon, the solution provided by proposed EMS remains feasible under adverse conditions of random demands and renewable resources. The model is represented as mixed-integer second-order cone programming model. Two operation modes are considered: grid-connected isolated. In mode, minimizes costs imports, dispatches distributed...

The phasor measurement technology has made it possible the monitoring and control of wide‐area power systems. In this study, a new genetic algorithm based method for optimal placement units (PMUs) considering observability security issues is proposed. idea to allocate least number PMUs while providing most redundant set measurements. This allocation philosophy ensures reliability in state estimation process. Moreover, also takes into account issues, by preserving system's case loss PMUs....

Increasing effort is being focused on automated remote control of distribution feeder deployment and sectionalizing to improve service restoration time unfaulted sections for transferring load between feeders. Digital processor algorithms which determine fault location generate switching instructions automatically based tree searching techniques utilizing switch tables that can be readily defined by an operator are described. Simulation results location, isolation, restoration, including...

This study presents an efficient algorithm for optimisation of radial distribution systems by a network reconfiguration and capacitor allocation. An important outcome the proposed approach is cost savings related to purchasing new banks. Several allocation methods can be found in literature, but just few problem joint strategy. A modified, dedicated genetic algorithm-based has been successfully developed implemented. It low computational effort able find good quality configurations....

In this paper, a critical evaluation of three Newton load flow methods based on step size optimization is carried out. These are the computation scalar multiplier at each iteration, which multiplied by voltage correction vector so as to minimize power mismatch quadratic function. Special attention was paid evaluating performance these for ill-conditioned, heavily loaded and overloaded systems. The possibility using them general tools also discussed. can play an important role in stability...

It is widely recognised that large amounts of limited controlled renewable generation in smart grids bring major challenges. The increasing complexity to solve the transmission expansion planning (TEP) problem emphasises need face it with new models and more efficient optimisation techniques. In this research work, a load shedding formulation proposed, extended for AC model takes into account shunt compensation additions TEP problem. This allows an integrated line can be solved efficiently....

This paper focuses on the optimal allocation of charging stations for electric vehicles. An allows an economical and efficient service to be offered vehicle owners, thus overcoming one main barriers adoption this type transportation. Actions towards encouraging consumers become new EV owners play a crucial role in environment preservation. The problem is modeled as two-level optimization problem. In first level, are allocated, while second level clusters linked those stations. Both levels...

The metaheuristic Teaching-Learning-Based Optimization has been used in several applications since it was first proposed 2011. Also, versions and variants have also for particular an attempt to obtain the optimal solution optimization problems with minimal computational burden. Some practical are modeled such that decision variables binary. In this case, may pose some terms of obtaining time. paper analysis leads identification its main difficulties, a new algorithm is proposed, specifically...

This paper presents a simple, fast, and efficient method for determining the maximum loading point (MLP) voltage stability security margin of electric power systems. The proposed is based on nonlinear programming techniques. MLP accurately obtained after few load change steps. computational procedure involves two kinds changes. Initially, increases toward are defined minimizing an objective function sensitivities. In case overestimated increase drives system outside feasible (stable)...

In this study, a probabilistic approach for the optimal charging of electric vehicles (EVs) in distribution systems is proposed. The costs both demand and energy losses system are minimised, subjected to set constraints that consider EVs smart characteristics operative aspects network. stochastic driving patterns EVs' owners, battery capacity active reactive power demanded at load nodes considered. connected benefits system's operation, as it does strategy minimise cost evaluate capability...

In this paper, a non-linear programming model to operate distribution systems considering energy storage devices and distributed generation is presented. Mathematical formulation made taking in account four terms for minimization: The cost operation of the electrical grid, reducing greenhouse emissions, reduction losses conductors voltage profile improve. As constraints are employed active reactive nodal power balance, maximum capacities from devices, regulation. To solve proposed...

Multidisciplinary care (MDC) remains a cornerstone for breast cancer management as it is associated with improved quality of and patient outcomes. However, the adoption MDC practice heterogeneous has been poorly explored in Latin America. The objective was to describe barriers possible facilitators providing patients five American countries.A panel experts an active clinical Bolivia, Colombia, Ecuador, Mexico, Uruguay convened identify MDC. This study qualitative synthesis structured...

We determined whether rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibody (ACPA) can predict remission or severe disability in arthritis (RA) patients treated with anti-tumor necrosis (TNF) alpha drugs.We performed a cohort study based on the clinical data from referral center for treatment of RA Bogotá, Colombia, were included aged ≥18 years diagnosis an active disease whom scheme was begun anti-TNF medication, minimum follow-up time 12 months. Disease activity Rheumatoid...

The conventional Newton and fast decoupled power flow methods are considered inadequate for obtaining the maximum loading point of systems due to ill-conditioning problems at near this critical point. At point, Jacobian matrix method becomes singular. In addition, it is widely accepted that P-V Q-/spl theta/ decoupling assumptions made formulation no longer hold. However, in paper, a new presented adequate computation by simply using reactive injection selected PV bus as continuation...

A multi-objective methodology for locating, sizing and operation of energy storage devices in distribution systems considering a typical load curve on horizon 24 hours is presented. The objective functions the problem are minimization power losses installation cost devices. proposed considers two optimization stages through master-slave algorithm. In master stage, planning battery banks done by using algorithm called non dominated sorting genetic II, which defines nodes where there will be...

This paper presents a comparison of variety control strategies for the primary frequency wind power plants. These include inertial as well pitch angle regulators. The is sensitive to both variation through standard droop control, and rate change frequency. Since these controllers tend counteract operation Maximum Power Point Tracking (MPPT), also investigates effect blocking MPPT whenever enabled. allows reserve prevents rotor speed from exceeding nominal value. A modified version WSCC...

This paper proposes a probabilistic optimal power flow (POPF) for unbalanced three-phase electrical distribution systems considering robust constraints. Wind velocity, solar irradiation, and demands are considered as exogenous random variables with dissimilar probability functions. The proposed two-stage POPF model determines the generation dispatch that minimizes average production cost while satisfying probabilistically robustness of solution is adjusted through parameter involving first...

The reconfiguration of distribution systems is usually done to minimize real power losses, or balance the load among feeders. Many methods based on heuristics, optimization, different kinds artificial intelligence, and evolutive programming can be found in literature. Similarly transmission systems, are also likely experience voltage instability problems, especially during peak hours predominantly industrial areas. In this paper a algorithm tabu search for maximizing security margin collapse...

Fast methods for estimating voltage stability security limits are crucial in modern energy management systems. In this paper, a method to build fuzzy inference system (FIS) is developed order estimate the loading margin. The main goal overcome disadvantages of conventional and apply methodology real time operation environment. First, some indices variables presented as candidate inputs FIS. Subtractive clustering used construct initial FIS models, adaptive neuro systems allow tuning them so...

It is well known that the Transmission Expansion Planning (TEP) a formidable combinatorial problem; therefore more optimization techniques are needed to solve it in an efficient way. In this work proposed parallel implementation of Local Particle Swarm Optimization (LPSO) version Static problem using DC network model. The well-known Garver and IEEE 24-bus networks used present results new approach.