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Keywords: Solar, Wind, Renewable Energy, Maximum Power Point Tracking (MPPT), Load Flow, Economic-Dispatch, Unit Commitment, Distribution Network Reconfiguration, Transmission System, FACT Analysis, Power Market Analysis, Ancillary Services, Smart Grid, Hybrid, Integration, Power Loss Minimization, Power Market Cost Optimization, Generation, Reactive Power Procurement Model, Neural Network, Fuzzy Logic, Neuro-Fuzzy, Adaptive Neuro-Fuzzy Inference System (ANFIS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant-Colony Optimization (ACO), Bacterial Foraging Optimization (BFO), Firefly Optimization, Fireworks Optimization, Backward-Forward Sweep, Fuzzy Tuned Methods, MATLAB, Simulink, Power System Analysis Tool (PSAT), General Algebraic Modeling System (GAMS).


Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

 

Abstract—

For the maximum utilization of solar energy, photo voltaic (PV) power generation systems are operated at the maximum power point (MPP) under varying atmospheric conditions,
and MPP tracking (MPPT) is generally achieved using several conventional methods. However, when partial shading occurs in a PV system, the resultant power–voltage (P–V) curve exhibits multiple peaks and traditional methods that need not guarantee convergence to true MPP always. This paper proposes an artificial bee colony (ABC) algorithm for global MPP (GMPP) tracking under conditions of in-homogenous insolation. The formulation of the problem, application of the ABC algorithm, and the results are analyzed in this paper. The numerical simulations carried out on two different PV configurations under different shading patterns strongly suggest that the proposed method is far superior to existing
MPPT alternatives. Experimental results are also provided to validate the new dispensation.

 

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Combining Simplified Firefly and Modified P&O Algorithm for Maximum Power Point Tracking of Photovoltaic System Under Partial Shading Condition

Combining Simplified Firefly and Modified P&O Algorithm for Maximum Power Point Tracking of Photo voltaic System Under Partial Shading Condition

Combining Simplified Firefly and Modified P&O Algorithm for Maximum Power Point Tracking of Photo voltaic System Under Partial Shading Condition

 

Abstract—

This paper proposes the combination of firefly and P&O algorithm to get both of its benefit. Simplified firefly algorithm used for escaping partial shading multi peaks condition due to Partial Shading Condition (PSC). When it goes yet to converge, the algorithm used is switched to faster modified P&O algorithm. This proposed algorithm is to obtain the optimal
solution for Maximum Power-Point Tracking (MPPT) of Photo voltaic (PV) system under three shaded conditions. The simulation results are compared with traditional
Perturbation and Observation (P&O) and Simplified Firefly Algorithm (SFA) to verify the proposed method performance. The main advantage of proposed algorithm
is faster convergence and tracking speed compared to its previous method that is Simplified Firefly Algorithm (SFA).

 

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MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies

MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies

MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies

 

Abstract—

This paper reports the development of a maximum power-point tracking (MPPT) method for photo voltaic (PV) systems under partially shaded conditions using firefly algorithm. The major advantages of the proposed method are simple computational steps, faster convergence, and its implementation on a low cost micro controller. The proposed scheme is studied for two different configurations of PV arrays under partial shaded conditions and its tracking performance is compared with traditional perturb and observe (P&O) method and particle swarm optimization (PSO) method under identical conditions. The improved performance of the algorithm in terms of tracking efficiency and tracking speed is validated through simulation and experimental studies.

 

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Comparison of Photo voltaic Array Maximum Power Point Tracking Techniques

Comparison of Photo voltaic Array Maximum Power Point Tracking Techniques

Comparison of Photo voltaic Array Maximum Power Point Tracking Techniques

 

Abstract—

The many different techniques for maximum power point tracking of photo  voltaic (PV) arrays are discussed. The techniques are taken from the literature dating back to the earliest
methods. It is shown that at least 19 distinct methods have been introduced in the literature, with many variations on implementation. This paper should serve as a convenient reference for future work in PV power generation.

 

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Phasor Measurement Sensor-Based Angular Stability Retention System for Smart Power Grids With High Penetration of Microgrids

Phasor Measurement Sensor-Based Angular Stability Retention System for Smart Power Grids With High Penetration of Microgrids

Phasor Measurement Sensor-Based Angular Stability Retention System for Smart Power Grids With High Penetration of Microgrids

 

Abstract—

Emerging phasor measurement sensor (PMS) technology is revolutionizing conventional power grids to smart power grids (SPGs). This also paves the way for deregulations in
energy market and wide area infusion of distributed energy-based systems like microgrids (MGs). Advanced energy management of MGs for better consumer gratification may pose severe threat to angular stability of SPGs. This paper outlines the angular stability issues that may emerge in SPGs due to high penetration of MGs. PMS-powered stability monitoring and MG operationalbased stability retention technique are proposed for retaining the angular stability. Real-time frequency domain analysis of phase angle oscillations measured from PMS across the grid is the backbone of the proposed stability monitoring technique. Wide area optimized control of MGs with the aid of topological genetic
algorithm is proposed for restraining the stability. Case studies conducted on standard bus systems portray the impact of high penetration of MGs on angular stability and the effectiveness of proposed techniques in monitoring and retaining the stability

 

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A framework for incorporation of infeed uncertainty in power system risk-based security assessment

A framework for incorporation of infeed uncertainty in power system risk-based security assessment

A framework for incorporation of infeed uncertainty in power system risk-based security assessment

 

Abstract—

In this paper a risk-based security assessment (RBSA) methodology is presented which allows the assessment of operational security of a power system’s future state under
uncertainty deriving from varying topology scenarios (contingencies) and forecast errors (loads and renewable infeeds). The methodology models input uncertainty with a copula function based Monte-Carlo (MC) framework. Further, it provides the highest level of accuracy on initiating causes of failures through an AC power flow (AC PF) framework. Finally, it achieves speed in solution by the combination of two measures of risk. A fast screening tool, based on severity functions, allows to quickly screen the system for the most severe states. A detailed analysis tool, based on an AC optimal power flow (AC OPF) framework and the notion of lost load, provides additional valuable information, including remedial actions to steer away from severe system states. The paper presents results from the application of the methodology proving the necessity of such a framework. It is shown that not taking into account stochastic dependence through a proper MC setup seriously underestimates system risk and that an AC framework is needed, as voltage deviations are shown to often be initiators of system collapse.

 

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Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art and Case Studies

Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art and Case Studies

Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art and Case Studies

 

Abstract—

With the transition towards a smart grid, the power system has become strongly intertwined with the information and communication technology (ICT) infrastructure. The
interdependency of both domains requires a combined analysis of physical and ICT processes, but simulating these together is a major challenge due to the fundamentally different modeling and simulation concepts. After outlining these challenges, such as time synchronization and event handling, this manuscript presents an overview of state-of-the-art solutions to interface power system and ICT simulators. Due to their prominence in recent research, a special focus is set on co-simulation approaches and their challenges and potentials. Further, two case studies analyzing the impact of ICT on applications in power system operation illustrate the necessity of a holistic approach and show the capabilities of state-of-the-art co-simulation platforms.Against this background, novel simulation frameworks have been developed in the recent past targeting the joint simulation of power and ICT systems. However, most leading solutions in this area are still subject to research and development.in the recent past targeting the joint simulation of power and ICT systems. However, most leading solutions in this area are still subject to research and development.

 

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A Reliability Assessment Approach For Integrated Transportation and Electrical Power Systems Incorporating Electric Vehicles

A Reliability Assessment Approach For Integrated Transportation and Electrical Power Systems Incorporating Electric Vehicles

A Reliability Assessment Approach For Integrated Transportation and Electrical Power Systems Incorporating Electric Vehicles

 

Abstract—

With the increasing utilization of electric vehicles (EVs), transportation systems and electrical power systems are becoming increasingly coupled. However, the interaction between these two kinds of systems are not well captured, especially from the perspective of transportation systems. This paper studies the reliability of integrated transportation and electrical power system (ITES). A bidirectional EV charging control strategy is first demonstrated to model the interaction between the two systems. Thereafter, a simplified transportation system model is developed, whose high efficiency makes the reliability assessment of the ITES realizable with an acceptable accuracy. Novel transportation system reliability indices are then defined from the view point of EV’s driver. Based on the charging control model and the transportation simulation method, a daily periodic quasi sequential reliability assessment method is proposed for the ITES system. Case studies based on RBTS system demonstrate that bidirectional charging controls of EVs will benefit the reliability of power systems, while decrease the reliability of EVs travelling. Also, the optimal control strategy can be obtained based on the proposed method. Finally, case studies are performed based on a large scale test system to verify the practicability of the proposed method.

 

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Coordinated Design and Application of Robust Damping Controllers for Shunt FACTS Devices to Enhance Small-signal Stability of Large-scale Power Systems

Coordinated Design and Application of Robust Damping Controllers for Shunt FACTS Devices to Enhance Small-signal Stability of Large-scale Power Systems

Coordinated Design and Application of Robust Damping Controllers for Shunt FACTS Devices to Enhance Small-signal Stability of Large-scale Power Systems

 

Abstract—

This paper presents a robust and coordinated supplementary damping controller design of multiple reactive FACTS controllers and their application in a large-scale power system. Reactive FACTS devices, such as static synchronous compensators (STATCOM) and static VAR compensators (SVC), are considered and assessed for their damping controller design. Control objectives, including regional pole placement and norm bounded mix sensitivities, are used to solve the bilinear matrix inequality (BMI) problems in each linearized model via a two-step method. Multiple damping controllers are sequentially designed to avoid coupling effect among the input signals and increase the reliability of the proposed design. A 5-area 16-machine 68-bus power system is used for the implementation of the damping controllers. Numerical linear analysis and real-time simulations in a test platform based on Real-time digital simulators (RTDS) are adopted to test the feasibility and robustness of the coordinated damping controllers.In the light of the scenarios presented
above, supplementary damping control for the enhancement.

 

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Power Flow Controller Design for Planning Stage Railway Systems

Power Flow Controller Design for Planning Stage Railway Systems

Power Flow Controller Design for Planning Stage Railway Systems

 

Abstract—

This paper gives the fundamental aspects of a power distribution scheme on railway power flow controller (RPFC) for the grid connection compatibility improvement in planning stage railway power system (RPS) via neatly adjusting the value and rotation direction of the primary three-phase current phasors for every given power factor and random load point. This method not only leads RPS to satisfy the relevant grid connection standards, but also can make RPFC have minimum designing capacity and high operating efficiency to decrease its costs in system planning stage. The analytic design method and the experimental results validate the correctness of the conception. The method of using this idea in more challenging serviced RPS will be discussed in another companion volume.Power flow controller; designing capacity.

 

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