Application of PSO to Design UPFC-based Stabilizers

Today, power demand grows rapidly and expansion in transmission and generation is restricted with the limited availability of resources and the strict environmental constraints. Consequently, power systems are today much more loaded than before. In addition, interconnection between remotely located power systems turned out to be a common practice. These give rise to low frequency oscillations in the range of 0.1-3.0 Hz. If not well damped, these oscillations may keep growing in magnitude until loss of synchronism results. Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of enhancing power system damping to low frequency oscillations. PSSs have proved to be efficient in performing their assigned tasks. The objective of this chapter is to investigate the potential of particle swarm optimization as a tool in designing UPFC-based stabilizers to improve power system transient stability. To estimate the controllability of each of the UPFC control signals on the electromechanical modes, singular value decomposition is employed. The problem of designing all the UPFCbased stabilizers individually is formulated as an optimization problem. Particle swarm optimizer is utilized to search for the optimum stabilizer parameter settings that optimize a given objective function. Coordinated design of the different stabilizers is also carried out by finding the best parameter settings for more than one stabilizer at a given operating condition in a coordinated manner

Analysis of power system stability enhancement via excitation and FACTS-based stabilizers

Power system stability enhancement via excitation and FACTS-based stabilizers is thoroughly investigated in this paper. This study presents a singular value decomposition-based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The design problem of a power system stabilizer and different FACTS-based stabilizers is formulated as an optimization problem. An eigenvalue-based objective function to increase the system damping and improve the system response is developed. Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. In addition, the damping characteristics of the proposed schemes are also evaluated in terms of the damping torque coefficient with different loading conditions for better understanding of the coordination problem requirements. The proposed stabilizers are tested on a weakly connected power system with different loading conditions. The damping torque coefficient analysis, nonlinear simulation results, and eigenvalue analysis show the effectiveness and robustness of the proposed control schemes over a wide range of loading conditions

Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms

Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC)-based stabilizer is thoroughly investigated in this paper. The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. This study also presents a singular value decomposition (SVD)-based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The damping characteristics of the proposed control schemes are also evaluated in terms of the damping torque coefficient over a wide range of loading conditions. The proposed stabilizers were tested on a weakly connected power system. The damping torque coefficient analysis, nonlinear simulation results, and eigenvalue analysis show the effectiveness and robustness of the proposed approach over a wide range of loading conditions

Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms

Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC)-based stabilizer is thoroughly investigated in this paper. The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. This study also presents a singular value decomposition (SVD)-based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The damping characteristics of the proposed control schemes are also evaluated in terms of the damping torque coefficient over a wide range of loading conditions. The proposed stabilizers were tested on a weakly connected power system. The damping torque coefficient analysis, nonlinear simulation results, and eigenvalue analysis show the effectiveness and robustness of the proposed approach over a wide range of loading conditions

Analysis of power system stability enhancement via excitation and FACTS-based stabilizers

Power system stability enhancement via excitation and FACTS-based stabilizers is thoroughly investigated in this paper. This study presents a singular value decomposition-based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The design problem of a power system stabilizer and different FACTS-based stabilizers is formulated as an optimization problem. An eigenvalue-based objective function to increase the system damping and improve the system response is developed. Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. In addition, the damping characteristics of the proposed schemes are also evaluated in terms of the damping torque coefficient with different loading conditions for better understanding of the coordination problem requirements. The proposed stabilizers are tested on a weakly connected power system with different loading conditions. The damping torque coefficient analysis, nonlinear simulation results, and eigenvalue analysis show the effectiveness and robustness of the proposed control schemes over a wide range of loading conditions

Designing and Implementing of Electronic Health Record System in Ksa using Sql & Asp.Net

Electronic health record (EHR) rapid progress for reporting electronic data storage that employs uniform data standards will enable health care organizations to respond more quickly to federal state, and private reporting requirements, including those that support patient safety and disease surveillance. An examination of many hospitals that recently implemented in King Saudi Arabia (KSA). A little of electronic health record (EHR) system finds that clinical and administrative leaders built EHR adoption into their strategic plans to integrate, inpatient and outpatient care system and a provide  continuum of coordinated services. Using Relational Data Base Management Systems (RDBMS) with eXtend Marker Language (XML) Systems and ASP.NET as web based system. Successful implementation depended on: strong leadership, full involvement of clinical staff in design and implementation, mandatory staff training, and strict adherence to timeline and budget. The EHR systems facilitate patient safety and quality development through; use of checklists, alerts, and predictive tools embedded clinical guidelines that promote standardized, evidence-based practices electronic prescribing and test-ordering that reduces errors and redundancy and discrete data fields that foster use of performance dashboards and compliance reports. The proposed system will be developed using ASP.NET as a technology of web based system. In this paper; most of the services, enjoyed on the Web are provided by web database applications and using .net technology. Such as, Web-based email, online shopping, forums and bulletin boards, corporate web sites, and sports and news portals are all database-driven. The main goals in this work, building a modern web site of electronic health record system in KSA hospitals. Keywords: XML, RDBMS, EHR , EMR, EPR, GIS, PH

Development Of Health Care Systems in Subareas of KSA Using GIS Concept

The present study was directed to show how Geographical Information Systems (GIS) can be used to support health planning and demanding on a micro-scale and explore the possibilities of using GIS for health care services in hospitals in Saudi Arabia subareas. The first part of this work explained the issues that affect a local health care planning and monitoring of catchment area and facilities management. Each one of these issues was covered using several GIS functions including network analysis and spatial data analysis. The second part defined GIS and its possible application in the health care field. In this section, the relevant GIS functions have also been explained. In response, alternative sources were used, such as Google Earth, printed maps and information gathered on the ground by GPS. The third part discussed the creation and implementation of GIS application models, which was made for a local health care center in Makah AlMokaramah region and Taif city in Saudi Arabia. All the produced models can be applied in any private or public hospital in Makkahh region and Taif city. They can be used to build a spatial decision making support system for hospitals in Taif region and serves five local health services neighborhoods named as Tarabah, AlKhurma, Rania, Zulam and Al-Moya. The most important results of this research were the determination of geographic locations of healthcare institutions, identifying ways and distances to reach the nearest access roads to these institutions. As well as being able to extract administrative regions on a large number of population, hospitals, health centers, number of beds, number of doctors and number of nurses. One of the recommendations of this research the need of using GIS and GPS (Global Positional System) to determine the locations of health institutions on a number of sites

Application of PSO to design UPFC-based stabilizers

Today, power demand grows rapidly and expansion in transmission and generation is restricted with the limited availability of resources and the strict environmental constraints. Consequently, power systems are today much more loaded than before. In addition, interconnection between remotely located power systems turned out to be a common practice. These give rise to low frequency oscillations in the range of 0.1-3.0 Hz. If not well damped, these oscillations may keep growing in magnitude until loss of synchronism results. Power system stabilizers (PSSs) have been used in the last few decades to serve the purpose of enhancing power system damping to low frequency oscillations. PSSs have proved to be efficient in performing their assigned tasks. The objective of this chapter is to investigate the potential of particle swarm optimization as a tool in designing UPFC-based stabilizers to improve power system transient stability. To estimate the controllability of each of the UPFC control signals on the electromechanical modes, singular value decomposition is employed. The problem of designing all the UPFCbased stabilizers individually is formulated as an optimization problem. Particle swarm optimizer is utilized to search for the optimum stabilizer parameter settings that optimize a given objective function. Coordinated design of the different stabilizers is also carried out by finding the best parameter settings for more than one stabilizer at a given operating condition in a coordinated manner