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Flexible alternating current transmission system (FACTS) controllers are important to enhance the quality of power in power systems. The stability of a system is achieved via a FACTS device (a Static Synchronous Compensator (STATCOM)). This paper aims to control the losses in the transmission system during peak energy demand circumstances with minimal losses in the economical and functional efficiency of the system. The STATCOM operation of a seven level voltage source converter (VSC) with binary-weighted transformers is proposed for controlling the reactive power variations and terminal voltage changes at dynamic circumstances in the transmission system. The STATCOM is operated at 132 kV and is a 50 Hz AC system with a single DC-Link capacitance and two VSC power circuits. Each VSC circuit consists of three H-bridges with specific switching angle control in order to achieve low total harmonic distortion at the fundamental frequency. The coupled control circuit phenomenon is imperative for computing the switching angle for a stable performance. The dynamic functional improvement efficiency is harvested with a minimum number of switches and transformers used in high voltage and high-power applications. The number of switches, transformers, and capacitors for 132 kV are optimized with a proposed STATCOM operation in seven level VSC with binary-weighted transformers. The simulated results prove that the proposed model significantly improved system performance and stability.
L. Narayana Gadupudi; Gudapati Sambasiva Rao; Ramesh Devarapalli; Fausto Pedro García Márquez. Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage. Applied Sciences 2021, 11, 7330 .
AMA StyleL. Narayana Gadupudi, Gudapati Sambasiva Rao, Ramesh Devarapalli, Fausto Pedro García Márquez. Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage. Applied Sciences. 2021; 11 (16):7330.
Chicago/Turabian StyleL. Narayana Gadupudi; Gudapati Sambasiva Rao; Ramesh Devarapalli; Fausto Pedro García Márquez. 2021. "Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage." Applied Sciences 11, no. 16: 7330.
This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.
Timmidi Nagadurga; Pasumarthi Narasimham; V. Vakula; Ramesh Devarapalli; Fausto Márquez. Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm. Energies 2021, 14, 4086 .
AMA StyleTimmidi Nagadurga, Pasumarthi Narasimham, V. Vakula, Ramesh Devarapalli, Fausto Márquez. Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm. Energies. 2021; 14 (14):4086.
Chicago/Turabian StyleTimmidi Nagadurga; Pasumarthi Narasimham; V. Vakula; Ramesh Devarapalli; Fausto Márquez. 2021. "Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm." Energies 14, no. 14: 4086.
The increase in penetration of wind farms operating with doubly fed induction generators (DFIG) results in stability issues such as voltage dips and high short circuit currents in the case of faults. To overcome these issues, and to achieve reliable and sustainable power from an uncertain wind source, fault current limiters (FCL) are incorporated. This work focuses on limiting the short circuit current level and fulfilling the reactive power compensation of a DFIG wind farm using a capacitive bridge fault current limiter (CBFCL). To deliver sustainable wind power to the grid, a fuzzy-based CBFCL is designed for generating optimal reactive power to suppress the instantaneous voltage drop during the fault and in the recovery state. The performance of the proposed fuzzy-based CBFCL is presented under a fault condition to account for real-time conditions. The results show that the proposed fuzzy-based CBFCL offers a more effective solution for overcoming the low voltage ride through (LVRT) problem than a traditional controller.
A. Padmaja; Allusivala Shanmukh; Siva Mendu; Ramesh Devarapalli; Javier Serrano González; Fausto García Márquez. Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm. Sustainability 2021, 13, 6656 .
AMA StyleA. Padmaja, Allusivala Shanmukh, Siva Mendu, Ramesh Devarapalli, Javier Serrano González, Fausto García Márquez. Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm. Sustainability. 2021; 13 (12):6656.
Chicago/Turabian StyleA. Padmaja; Allusivala Shanmukh; Siva Mendu; Ramesh Devarapalli; Javier Serrano González; Fausto García Márquez. 2021. "Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm." Sustainability 13, no. 12: 6656.
Small oscillations with low frequency are ubiquitous in the power system, and it needs to be damp out to preserve the stability of the system. This paper deals with a power system stabilizer (PSS), including STATCOM for damping oscillations of small frequency. An enhanced whale optimization algorithm (EWOA) is proposed to tune the parameter of the controllers. This paper describes the significance of the FACTS controller and proper coordination between the controllers through novel soft computing technique; a sample power network is considered and modeled with system dynamics.
Ramesh Devarapalli; Biplab Bhattacharyya; Archana Kumari. Enhancing Oscillation Damping in a Power Network Using EWOA Technique. Lecture Notes in Electrical Engineering 2021, 27 -36.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya, Archana Kumari. Enhancing Oscillation Damping in a Power Network Using EWOA Technique. Lecture Notes in Electrical Engineering. 2021; ():27-36.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya; Archana Kumari. 2021. "Enhancing Oscillation Damping in a Power Network Using EWOA Technique." Lecture Notes in Electrical Engineering , no. : 27-36.
Moth flame optimization (MFO) algorithm is incited from moths which travel in a straight line by making a fixed angle with respect to the moon. This paper focuses on the improved algorithm of MFO (IMFO), which is proposed for the stability enhancement of a power network. The performance of IMFO, MFO and Conventional Power System Stabilizers (CPSS) is compared and studied under the perturbation in the power system. The statistical and graphical analysis verify the superior performance of IMFO over conventional methods.
Ramesh Devarapalli; Biplab Bhattacharyya; Vikash Kumar; Sourav Kumar. Improved Moth Flame Optimization in Systematization of STATCOM and PSS. Lecture Notes in Electrical Engineering 2021, 481 -491.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya, Vikash Kumar, Sourav Kumar. Improved Moth Flame Optimization in Systematization of STATCOM and PSS. Lecture Notes in Electrical Engineering. 2021; ():481-491.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya; Vikash Kumar; Sourav Kumar. 2021. "Improved Moth Flame Optimization in Systematization of STATCOM and PSS." Lecture Notes in Electrical Engineering , no. : 481-491.
Optimization is the process of attaining the best solution from the available set of prioritized constraints to maximize or minimize the desired function involved in it. It is imperative in engineering to plan and design to find the best out of confined resource and time. A recently recommended barnacles matting optimization (BMO) has been recognized in computing the optimal parameters of the electric power system with excellent performance characteristics. In this paper, the intensified version of BMO has been proposed with the aid of cuckoo search (CS) and traditional particle swarm optimization (PSO). An in‐depth analysis was made on the BMO technique and proposed suitable modifications to deal with the electrical power system stability enhancement issue efficiently. The proposed technique in the power system stabilizer (PSS) parameter computation is validated on the 23 benchmark functions to examine for its suitability. The robustness of the proposed method is presented via statistical analysis and boxplot of the 23 benchmark functions. The PSS parameters are computed in a benchmark two area four machine system using intensified BMO under self‐clearing fault conditions. A multi‐objective function is designed to improve the damping nature offered under system uncertainties, and the comparative analysis is presented among conventional PSS, BMO, intensified BMO with CS and PSO (BMO‐CS and BMO‐PSO), and harris hawks optimizer.
Ramesh Devarapalli; Biplab Bhattacharyya; Archana Kumari. A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations. Concurrency and Computation: Practice and Experience 2021, 33, e6303 .
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya, Archana Kumari. A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations. Concurrency and Computation: Practice and Experience. 2021; 33 (17):e6303.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya; Archana Kumari. 2021. "A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations." Concurrency and Computation: Practice and Experience 33, no. 17: e6303.
Ramesh Devarapalli; B. Venkateswara Rao; Bishwajit Dey; K. Vinod Kumar; H. Malik; Fausto Pedro García Márquez. An approach to solve OPF problems using a novel hybrid whale and sine cosine optimization algorithm. Journal of Intelligent & Fuzzy Systems 2021, Preprint, 1 -11.
AMA StyleRamesh Devarapalli, B. Venkateswara Rao, Bishwajit Dey, K. Vinod Kumar, H. Malik, Fausto Pedro García Márquez. An approach to solve OPF problems using a novel hybrid whale and sine cosine optimization algorithm. Journal of Intelligent & Fuzzy Systems. 2021; Preprint (Preprint):1-11.
Chicago/Turabian StyleRamesh Devarapalli; B. Venkateswara Rao; Bishwajit Dey; K. Vinod Kumar; H. Malik; Fausto Pedro García Márquez. 2021. "An approach to solve OPF problems using a novel hybrid whale and sine cosine optimization algorithm." Journal of Intelligent & Fuzzy Systems Preprint, no. Preprint: 1-11.
B. Venkateswara Rao; Ramesh Devarapalli; H. Malik; Sravana Kumar Bali; Fausto Pedro García Márquez; Tirumalasetty Chiranjeevi. Wind integrated power system to reduce emission: An application of Bat algorithm. Journal of Intelligent & Fuzzy Systems 2021, Preprint, 1 -9.
AMA StyleB. Venkateswara Rao, Ramesh Devarapalli, H. Malik, Sravana Kumar Bali, Fausto Pedro García Márquez, Tirumalasetty Chiranjeevi. Wind integrated power system to reduce emission: An application of Bat algorithm. Journal of Intelligent & Fuzzy Systems. 2021; Preprint (Preprint):1-9.
Chicago/Turabian StyleB. Venkateswara Rao; Ramesh Devarapalli; H. Malik; Sravana Kumar Bali; Fausto Pedro García Márquez; Tirumalasetty Chiranjeevi. 2021. "Wind integrated power system to reduce emission: An application of Bat algorithm." Journal of Intelligent & Fuzzy Systems Preprint, no. Preprint: 1-9.
In this research, a new technique is developed for reducing the order of high-order continuous interval systems. The model denominator is derived using Anderson corollary and Routh table. Numerator is derived by matching the formulated Markov parameters (MPs) and time moments (TMs). Distinctive features of the proposed approach are: (i) New and simpler expressions for MPs and TMs; (ii) Retaining not only TMs but also MPs while deriving the model; (iii) Minimizing computational complexity while preserving the essential characteristics of system; (iv) Ensuring to produce a stable model for stable system; (v) No need to invert the system transfer function denominator while obtaining the TMs and MPs; and (vi) No need to solve a set of complex interval equations while deriving the model. Two single-input-single-output test cases are considered to illustrate the proposed technique. Comparative analysis is also presented based on the results obtained. The simplicity and effectiveness of the proposed technique are established from the simulation outcomes achieved.
Jagadish Kumar Bokam; Vinay Pratap Singh; Sharada Nandan Raw; Ramesh Devarapalli; Fausto Pedro Garcia Marquez. Anderson Corollary Based on New Approximation Method for Continuous Interval Systems. IEEE Access 2021, 9, 43601 -43610.
AMA StyleJagadish Kumar Bokam, Vinay Pratap Singh, Sharada Nandan Raw, Ramesh Devarapalli, Fausto Pedro Garcia Marquez. Anderson Corollary Based on New Approximation Method for Continuous Interval Systems. IEEE Access. 2021; 9 ():43601-43610.
Chicago/Turabian StyleJagadish Kumar Bokam; Vinay Pratap Singh; Sharada Nandan Raw; Ramesh Devarapalli; Fausto Pedro Garcia Marquez. 2021. "Anderson Corollary Based on New Approximation Method for Continuous Interval Systems." IEEE Access 9, no. : 43601-43610.
Power system oscillations are the primary threat to the stability of a modern power system which is interconnected and operates near to their transient and steady-state stability limits. Power system stabilizer (PSS) is the traditional controller to damp such oscillations, and flexible AC transmission system (FACTS) devices are advised for the improved damping performance. This paper suggests a technique for controller parameters tuning of PSS and a shunt connected FACTS device to be operated in coordination. A static synchronous compensator (STATCOM) connected in a two-machine system is considered as a test power system for the system studies. A recent meta-heuristic algorithm, Multi-Verse optimizer (MVO) has been suggested and compared with the other state-of-the-art algorithms. Improvement in system damping has been achieved by minimizing the oscillating nature of the system states by framing the objective function as a function of damping ratio and location of poles of the system. The Phillips-Heffron model of the test system has been designed by considering the system dynamics. The coordinated system behavior under the perturbation in system parameters has been observed satisfactory with the tuned controller parameters obtained from the suggested algorithm.
Ramesh Devarapalli; Biplab Bhattacharyya. Power and energy system oscillation damping using multi-verse optimization. SN Applied Sciences 2021, 3, 1 -18.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya. Power and energy system oscillation damping using multi-verse optimization. SN Applied Sciences. 2021; 3 (3):1-18.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya. 2021. "Power and energy system oscillation damping using multi-verse optimization." SN Applied Sciences 3, no. 3: 1-18.
Kumari Sarita; Ramesh Devarapalli; Sanjeev Kumar; H. Malik; Fausto Pedro García Márquez; Pankaj Rai. Principal component analysis technique for early fault detection. Journal of Intelligent & Fuzzy Systems 2021, Preprint, 1 -12.
AMA StyleKumari Sarita, Ramesh Devarapalli, Sanjeev Kumar, H. Malik, Fausto Pedro García Márquez, Pankaj Rai. Principal component analysis technique for early fault detection. Journal of Intelligent & Fuzzy Systems. 2021; Preprint (Preprint):1-12.
Chicago/Turabian StyleKumari Sarita; Ramesh Devarapalli; Sanjeev Kumar; H. Malik; Fausto Pedro García Márquez; Pankaj Rai. 2021. "Principal component analysis technique for early fault detection." Journal of Intelligent & Fuzzy Systems Preprint, no. Preprint: 1-12.
The preliminary measure taken by several countries to minimize the spread of Corona Virus Disease 2019 (COVID-19) is executing lockdown in the country. Due to this action, unforeseen impacts have been observed on energy demand, power sector operation, grid stability, and reliability of respective nation/state. Therefore, this study intends to investigate the impact of lockdown on power system scenario focusing deep into any one of the countries. This paper considered India’s power system as a case study and presented the statistical analysis of the impact of the COVID-19 outbreak. The study is presented during the lockdown period from 11th March 2020 to 26th May 2020 in India. Various regions of the countries have been analyzed to show rigorous analysis of the diverse nature of consumers like domestic, industrial, etc. The impact on various issues is demonstrated by comparing the statistics with the pre-lockdown conditions. The critical observations derived out of the analysis shall deliver significant inputs for prioritizing the actions to be taken to maintain power system network: complying to technical levels, enhancing the operation and maintenance practices, planning for smooth grid operation, energy mix, flexible operation of thermal power generation, integration of renewable energy into the grid, and finally improvement in the reliability of the power system.
Dhavala Venkata Rajan; Ayalasomayajula Indira; Ramesh Devarapalli; Siddhartha Sankar Thakur. Lockdown impact on power systems based on experience curves and complementary bottom-up assessments during COVID-19. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2021, 1 -28.
AMA StyleDhavala Venkata Rajan, Ayalasomayajula Indira, Ramesh Devarapalli, Siddhartha Sankar Thakur. Lockdown impact on power systems based on experience curves and complementary bottom-up assessments during COVID-19. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2021; ():1-28.
Chicago/Turabian StyleDhavala Venkata Rajan; Ayalasomayajula Indira; Ramesh Devarapalli; Siddhartha Sankar Thakur. 2021. "Lockdown impact on power systems based on experience curves and complementary bottom-up assessments during COVID-19." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , no. : 1-28.
Ramesh Devarapalli; Biplab Bhattacharyya. A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM. Numerical Algebra, Control & Optimization 2021, 1 .
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya. A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM. Numerical Algebra, Control & Optimization. 2021; ():1.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya. 2021. "A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM." Numerical Algebra, Control & Optimization , no. : 1.
Day to day the importance and usage of electric power is increasing, in order to reach this power demand, generation of power is being increased. But the transmission grid fails to meet the developments in generation, as construction of new transmission lines involve more time than building new generation facilities. So, updating or upgrading the existing facilities will be more beneficial than building new ones. This is achieved by providing proper reactive compensation. This main objective of the paper is placement of shunt capacitor for voltage profile improvement and reactive power compensation. The voltage stability index, called voltage collapse prediction index (VCPI), decides the shunt capacitor placement. This paper deals with placement of shunt capacitor banks to improve voltage at weakest buses. The shunt capacitor banks connected to the system to prevent the low voltages during the high loading conditions. The reactive compensation and reduction of losses and power transfer capability can be increased by placing of shunt capacitor. The proposed technique is validated with load flow analysis on IEEE 14 bus system carry out by Mi-power software. From the results obtained it is verified that the load flow analysis can be easily done with Mi-power which is a fast and robust tool with a powerful GUI to solve. Finally, the voltage profile improvement is verified with the placement of shunt capacitor.
Upendra Prasad; Nikhil Kumar Sinha; Bathina Venkateswara Rao; Naraharisetti Jaya Naga Lakshmi; Ramesh Devarapalli. Optimal placement of shunt capacitor with VCPI to improve voltage profile using Mi power. IOP Conference Series: Materials Science and Engineering 2020, 981, 042061 .
AMA StyleUpendra Prasad, Nikhil Kumar Sinha, Bathina Venkateswara Rao, Naraharisetti Jaya Naga Lakshmi, Ramesh Devarapalli. Optimal placement of shunt capacitor with VCPI to improve voltage profile using Mi power. IOP Conference Series: Materials Science and Engineering. 2020; 981 (4):042061.
Chicago/Turabian StyleUpendra Prasad; Nikhil Kumar Sinha; Bathina Venkateswara Rao; Naraharisetti Jaya Naga Lakshmi; Ramesh Devarapalli. 2020. "Optimal placement of shunt capacitor with VCPI to improve voltage profile using Mi power." IOP Conference Series: Materials Science and Engineering 981, no. 4: 042061.
Grid‐connected mode of microgrid (MG) operation is the most economical and reliable mode of service because the grid participates in the buying and selling of power with the MG, which reduces the generation cost of the MG system. Various types of electricity market pricing strategies are available in the literature with which the grid buys and sells power to the MG system. These strategies are implemented in turns on two different low voltage (LV) MG systems, and the generation cost of the systems are recorded to distinguish the cheapest strategy among them. A novel hybrid of recently developed superior optimization algorithms viz. grey wolf optimizer (GWO), sine cosine algorithm (SCA), and crow search algorithm (CSA) is used to minimize the overall generation cost of the MG system. It was evident from the results that generation cost was minimum when electricity market pricing was done using Strategy 2. Also, active participation of the grid incurred 15% savings in the system generation cost for the same strategy compared to the case when the grid was operating passively. Furthermore, statistical analysis corroborates to the superiority of the proposed hybrid MGWO‐SCA‐CSA over other algorithms used.
Bishwajit Dey; Biplab Bhattacharyya; Ramesh Devarapalli. A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid. International Journal of Intelligent Systems 2020, 36, 919 -961.
AMA StyleBishwajit Dey, Biplab Bhattacharyya, Ramesh Devarapalli. A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid. International Journal of Intelligent Systems. 2020; 36 (2):919-961.
Chicago/Turabian StyleBishwajit Dey; Biplab Bhattacharyya; Ramesh Devarapalli. 2020. "A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid." International Journal of Intelligent Systems 36, no. 2: 919-961.
Bearingless motor development is a substitute for magnetic bearing motors owing to several benefits, such as nominal repairs, compactness, lower cost, and no need for high-power amplifiers. Compared to conventional motors, rotor levitation and its steady control is an additional duty in bearingless switched reluctance motors when starting. For high-speed applications, the use of simple proportional integral derivative and fuzzy control schemes are not in effect in suspension control of the rotor owing to inherent parameter variations and external suspension loads. In this paper, a new robust global sliding-mode controller is suggested to control rotor displacements and their positions to ensure fewer eccentric rotor displacements when a bearingless switched reluctance motor is subjected to different parameter variations and loads. Extra exponential fast-decaying nonlinear functions and rotor-tracking error functions have been used in the modeling of the global sliding-mode switching surface. Simulation studies have been conducted under different testing conditions. From the results, it is shown that rotor displacements and suspension forces in X and Y directions are robust and stable. Owing to the proposed control action of the suspension phase currents, the rotor always comes back rapidly to the center position under any uncertainty.
Pulivarthi Nageswara Rao; Ramesh Devarapalli; Fausto Pedro García Márquez; Hasmat Malik. Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor. Energies 2020, 13, 5485 .
AMA StylePulivarthi Nageswara Rao, Ramesh Devarapalli, Fausto Pedro García Márquez, Hasmat Malik. Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor. Energies. 2020; 13 (20):5485.
Chicago/Turabian StylePulivarthi Nageswara Rao; Ramesh Devarapalli; Fausto Pedro García Márquez; Hasmat Malik. 2020. "Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor." Energies 13, no. 20: 5485.
To serve the load demands in the expanding power system with the available transmission system, many oscillations are introducing into the consolidated power network. These fluctuations are with low frequency and may lead to the severe malfunctioning of existing devices. This chapter proposes an optimal parameter tuning of power system stabilizer and STATCOM using metaheuristic algorithms for the staility enhancement. The coordination among the damping devices has been achieved by a stochastic population-based Sine-Cosine Algorithm (SCA). The suggested algorithm has been compared with the most popular population-based optimization methods in recent time in the field of the solving engineering problems. The findings obtained in the comparison of the proposed algorithm with the state-of-the-art algorithms and recommends the SCA in the coordinated design of damping device for the power oscillations. For the system analysis, traditional Heffron Philip model of a sample system with STATCOM attached in the intermediate of the line of a two machine system has been developed, and the whole study has been carried out for the different loading conditions.
Ramesh Devarapalli; Biplab Bhattacharyya. Optimal Controller Parameter Tuning of PSS Using Sine-Cosine Algorithm. Econometrics for Financial Applications 2020, 337 -360.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya. Optimal Controller Parameter Tuning of PSS Using Sine-Cosine Algorithm. Econometrics for Financial Applications. 2020; ():337-360.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya. 2020. "Optimal Controller Parameter Tuning of PSS Using Sine-Cosine Algorithm." Econometrics for Financial Applications , no. : 337-360.
The conception of electromechanical oscillations initiates in the power network when there is an installation of the generator in parallel with the existent one. Further, the interconnection of multiple areas, extension in transmission, capricious load characteristics, etc. causes low-frequency oscillations in the consolidated power network. This paper proposes variants of a booming population-based grey wolf optimization (GWO) algorithm in the tuning of power system stabilizer parameters of a multi-machine system in damping low-frequency oscillations. The parameters have been tuned by framing an objective function considering the improving damping ratios for the system states with lesser damping ratios and shifting the system eigenvalues towards the left-hand side of s-plane for the improved settling characteristics for the oscillations in the system. The requisites of stabilizer strategy are mapped with the hallmarks of prevalent algorithms and designed hybrid versions of GWO for the enhancement of the multi-machine power system stability. Four variants of GWO technique are nominated based on the competent stabilizer performance namely, modified grey wolf optimization (MGWO), hybrid MGWO particle swarm optimization (MGWOPSO), hybrid MGWO sine cosine algorithm (MGWOSCA) and hybrid MGWO crow search algorithm (MGWOCSA) for the designed multi-machine power network. The proposed methods have been realized with the statistical analysis on the 23 benchmark functions. Nonparametric statistical tests, namely, Feidman test, Anova test and Quade tests, have been performed on the test system, further analysed in detail. A detailed comparative analysis under the self-clearing fault is presented to illustrate the suitability of the proposed techniques. For the analysis purpose, the location of system eigenvalues has been observed along with their oscillating frequencies and corresponding damping ratios. Further, the damping nature offered with considered system uncertainty for the system states also presented with the PSS parameters obtained by the proposed algorithms.
Ramesh Devarapalli; Biplab Bhattacharyya; Nikhil Kumar Sinha; Bishwajit Dey. Amended GWO approach based multi-machine power system stability enhancement. ISA Transactions 2020, 109, 152 -174.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya, Nikhil Kumar Sinha, Bishwajit Dey. Amended GWO approach based multi-machine power system stability enhancement. ISA Transactions. 2020; 109 ():152-174.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya; Nikhil Kumar Sinha; Bishwajit Dey. 2020. "Amended GWO approach based multi-machine power system stability enhancement." ISA Transactions 109, no. : 152-174.
The manufacturers of photovoltaic (PV) panel give the data of three major points on I–V characteristics. However, this information alone is not sufficient to derive the five parameter and seven parameter models, i.e., single-diode and double-diode models. Hence, several population-based metaheuristic techniques are proposed in the literature. However, there is a need of well-balanced algorithm which is used for extracting the parameters of the diode model of PV panels from the datasheet. In this paper, a novel hybrid algorithm is proposed by combing the best features of a recently developed Marine Predators Algorithm (MPA) and Success History based Adaptive Differential Evolution (SHADE) algorithm. The principal algorithm for obtaining the optimum solution is MPA. However, during the search process to enhance the best solution region, self-adaptive DE based on the successive history of parameters is used. The derived objective function ensures the zero error at three important points of the I–V characteristics. Hence, the parameters extracted by using proposed method results in the I–V curves which are passing through the all three important points. Only three parameters out of five in single-diode model, and five parameters out of seven are optimized with the proposed algorithm and remaining are calculated analytically to reduce the burden on metaheuristic algorithm. MATLAB programming is used to test the proposed parameter extraction by using hybrid Marine Predators – Success History based Adaptive Differential Evolution (MP-SHADE) algorithm, and the results are compared with the other state-of-the-art metaheuristic techniques. The single-diode and double-diode models of three types of panels (monocrystalline, polycrystalline, and thin-film) are derived by using MP-SHADE algorithm.
Jaya Naga Lakshmi Naraharisetti; Ramesh Devarapalli; VenkateswaraRao Bathina. Parameter extraction of solar photovoltaic module by using a novel hybrid marine predators – success history based adaptive differential evolution algorithm. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2020, 1 -23.
AMA StyleJaya Naga Lakshmi Naraharisetti, Ramesh Devarapalli, VenkateswaraRao Bathina. Parameter extraction of solar photovoltaic module by using a novel hybrid marine predators – success history based adaptive differential evolution algorithm. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2020; ():1-23.
Chicago/Turabian StyleJaya Naga Lakshmi Naraharisetti; Ramesh Devarapalli; VenkateswaraRao Bathina. 2020. "Parameter extraction of solar photovoltaic module by using a novel hybrid marine predators – success history based adaptive differential evolution algorithm." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , no. : 1-23.
This paper proposes a novel hybrid technique called enhanced grey wolf optimization‐sine cosine algorithm‐cuckoo search (EGWO‐SCA‐CS) algorithm to improve the electrical power system stability. The proposed method comprises of a popular grey wolf optimization (GWO) in an enhanced and hybrid form. It embraces the well‐balanced exploration and exploitation using the cuckoo search (CS) algorithm and enhanced search capability through the sine cosine algorithm (SCA) to elude the stuck to the local optima. The proposed technique is validated with the 23 benchmark functions and compared with state‐of‐the‐art methods. The benchmark functions consist of unimodal, multimodal function from which the best suitability of the proposed technique can be identified. The robustness analysis also presented with the proposed method through boxplot, and a detailed statistical analysis is performed for a set of 30 individual runs. From the inferences gathered from the benchmark functions, the proposed technique is applied to the stability problem of a power system, which is heavily stressed with the nonlinear variation of the load and thereby operating conditions. The dynamics of power system components have been considered for the mathematical model of a multimachine system, and multiobjective function has been framed in tuning the optimal controller parameters. The effectiveness of the proposed algorithm has been assessed by considering two case studies, namely, (i) the optimal controller parameter tuning, and (ii) the coordination of oscillation damping devices in the power system stability enhancement. In the first case study, the power system stabilizer (PSS) is considered as a controller, and a self‐clearing three‐phase fault is considered as the system uncertainty. In contrast, static synchronous compensator (STATCOM) and PSS are considered as controllers to be coordinated, and perturbation in the system states as uncertainty in the second case study.
Ramesh Devarapalli; Biplab Bhattacharyya; Nikhil K. Sinha. An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties. International Journal of Intelligent Systems 2020, 35, 1520 -1569.
AMA StyleRamesh Devarapalli, Biplab Bhattacharyya, Nikhil K. Sinha. An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties. International Journal of Intelligent Systems. 2020; 35 (10):1520-1569.
Chicago/Turabian StyleRamesh Devarapalli; Biplab Bhattacharyya; Nikhil K. Sinha. 2020. "An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties." International Journal of Intelligent Systems 35, no. 10: 1520-1569.