Faculty Publications
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Item Fuzzy-logic-based reactive power and voltage control in grid-connected wind farms to improve steady state voltage stability(IGI Global, 2018) Moger, T.; Dhadbanjan, T.This chapter presents a fuzzy logic approach for reactive power and voltage control in grid-connected wind farms with different types of wind generator units to improve steady state voltage stability of power systems. The load buses' voltage deviation is minimized by changing the reactive power controllers according to their sensitivity using fuzzy set theory. The proposed approach uses only a few high sensitivity controllers to achieve the desired objectives. A 297-bus-equivalent grid-connected wind system and a 417-bus-equivalent grid-connected wind system are considered to present the simulation results. To prove the effectiveness of the proposed approach, a comparative analysis is also carried out with the conventional linear-programming-based reactive power optimization technique. Results demonstrated that the proposed approach is more effective in improving the system performance as compared with the conventional existing techniques. © 2018, IGI Global.Item Probabilistic Steady-State Analysis of Power Systems Integrated with Renewable Generations(CRC Press, 2022) Singh, V.; Moger, T.; Jena, D.[No abstract available]Item Comparison of solar irradiance forecasting performance with K- means++ clustering combined with hybrid deep learning models(IGI Global, 2025) Chiranjeevi, M.; Ramesh Torun, S.; Ghangale, V.S.; Pundir, A.; Moger, T.; Jena, D.Solar irradiance forecasting plays a crucial role in renewable energy, weather prediction, and climate modeling. Accurate forecasts are essential for optimizing solar power efficiency, grid integration, and energy planning. Traditional forecasting methods, based on physical and statistical models, struggle to capture the complex, nonlinear relationships inherent in solar irradiance. To address these challenges, this chapter presents a comparative analysis of advanced machine learning (ML) and deep learning (DL) models. Techniques like CNNs, RNNs, and hybrid models have demonstrated strong capabilities in extracting temporal and spatial patterns from Solar data. The integration of K- means++ clustering with DL frameworks further enhances model robustness, generalization, and interpretability. This chapter evaluates hybrid models, such as Temporal CNN- LSTM, CNN- GRU using metrics based on Solcast data. Results reveal that the TCNN- GRU model outperforms other state- of- the- art approaches, underscoring the value of clustering- enhanced DL frameworks for accurate solar irradiance forecasting. © 2025, IGI Global Scientific Publishing. All rights reserved.Item A comprehensive analysis of reactive power pricing in a competitive electricity markets(2012) Moger, T.; Dodjoo, S.Reactive power plays an important role in maintaining voltage stability, supporting real power transmission and overall system reliability. Thus, developing an accurate and feasible method for reactive power pricing is very significant in a deregulated electricity market. In this paper, the reactive power production cost of generator is represented as a nonlinear model that considers the corresponding economic loss if active power is not generated; that cost is the opportunity cost and the cost of reactive power production of the static capacitors are included in the objective function of total system operation cost. The methodology has been implemented using a modified optimal power flow is presented for calculation of the pricing of active and reactive power at each bus in competitive electricity markets. IEEE-14 bus system has been used for the computer study and the case studies done, shows the effects of various factors on the reactive power marginal price. Results demonstrate that the active and reactive power marginal prices give economical signals that could impel even more the participation of agents of competitive reactive power markets. © 2012 Pillay Engineering College.Item Virtual laboratory platform for enhancing undergraduate level induction motor course using MATLAB/Simulink(2012) Syal, A.; Gaurav, K.; Moger, T.With the advent of various simulation software packages and low cost personal computing devices in the market, computer-aided teaching tools have become an important part of present pedagogy. These tools support the classroom teaching by enabling the instructor to illustrate the working of various systems by means of computer generated graphics. This paper presents a very easy and interactive model based on computer simulation in MATLAB/Simulink to simulate the no load test, load test and blocked rotor test on 3-phase slip ring and squirrel cage induction motors. The well known equivalent circuit model along with the torque equation is used to model the motor without considering the effects of magnetic saturation. The simulation environment plots all relevant graphs including circle diagram of the given motor, thus acting as a complete graphical teaching aid for the induction machine course at undergraduate level. This model facilitates learning especially for the students pursuing a distance-learning/correspondence course which does not provide them with the laboratory facilities. © 2012 IEEE.Item Significance of reactive power loss and its application to system voltage stability(Institute of Electrical and Electronics Engineers Inc., 2018) Moger, T.; Johnson, T.; Dhadbanjan, T.In this paper, the significance of reactive power loss and its application to system voltage stability is presented. The reactive power loss allocation at the load-buses is computed from the reactive power support and loss allocation algorithm using modified Y-bus approach. Further, it is computed for the various load conditions in the system upto the maximum loadability point. The proposed approach is illustrated on a sample 5-bus system and also tested on a 11-bus practical equivalent system of Indian southern region power grid. A comparative analysis is also carried out with the continuation power flow method to highlight the features of the proposed approach. It can be observed from the simulation results that the reactive power loss allocation at load-buses give the clear indication about the system reactive power issues, which in-turn give an indication about the system voltage instability/collapse problem. © 2018 IEEE.Item SuDoKu and Optimal SuDoKu Reconfiguration for TCT PV array under Non-Uniform Irradiance Condition(Institute of Electrical and Electronics Engineers Inc., 2018) Sai Krishna, G.S.; Moger, T.Power delivered by a Photovoltaic (PV) array reduces significantly due to non-uniform irradiance condition. The reduction of output power is not directly proportional to the shading area but depends on the shading pattern, array configuration and the physical location of modules in PV array. Many techniques have been reported in the literature to reduce partial shading effects. One of the effective technique is reconfiguration strategies. This paper presents the comparative study on SuDoKu and optimal SuDoKu reconfiguration techniques for 9\times 9 Total-Cross-Tied (TCT) PV array under partial shading condition (PSC). In this approach, the physical location of modules in TCT PV array are changing based on SuDoKu and optimal SuDoKu patterns without altering any electrical connections. In addition to this, the performance analysis is carried out by comparing the global maximum power point (GMPP) and voltage at the global maximum power (V-{GMPP}) under different shading conditions by using MATLAB-SIMULINK. © 2018 IEEE.Item Comparative Study on Solar Photovoltaic Array Configurations under Irregular Irradiance Conditions(IEEE Computer Society help@computer.org, 2018) Sai Krishna, G.S.; Moger, T.Power delivered by a Photovoltaic (PV) cell decreases significantly due to non-uniform irradiance condition. Consequently, in case of PV module or array, the generated output power get reduces and further deteriorates the overall system performance. Many solutions have been reported to reduce partial shadings. Among all, PV array configurations is the effective solution for this problem. Various PV array configurations are mentioned in the literature to mitigate partial shading condition (PSC). This paper presents the comparative study on PV array configurations reported in the literature such as »Series-Parallel (SP), Total-Cross-Tied (TCT), Bridge-Link (BL), Honey-Comb (HC), Modified Bridge-Link (MB), hybrid SP-TCT, hybrid BL-TCT along with proposed hybrid HC-TCT» under partial shading conditions on 4 4 PV array. Further, the performances of all configurations are×investigated by comparing the global maximum power point (GMPP), voltage at the global maximum power (VGMPP ), fill-factor (FF) and possible local peaks (PLP) by using MATLAB-SIMULINK. © 2018 IEEE.Item Static Reconfiguration approach for Photovoltaic Array to Improve Maximum power(Institute of Electrical and Electronics Engineers Inc., 2020) Sai Krishna, G.; Moger, T.This work proposed a skyscraper (SS) PV array reconfiguration arrangement for 4\times 4 TCT array to distribute partial shading conditions (PSCs) and improve the performance using Matlab-Simulink. In this method, the physical location of PV modules in the TCT array is rearranged according to the skyscraper style without modifying electrical connections. In order to investigate the performance of the proposed method, various other existing PV array interconnection schemes have been compared in different shading conditions. Further, the global maximum power point, fill-factor, and efficiency parameters are obtained to assess the performance of each array. The outcome of the paper shows that, relative to other PV arrays under shading conditions, the proposed skyscraper method increases the maximum power. © 2020 IEEE.Item Comparison of LVRT Enhancement for DFIG-Based Wind Turbine Generator with Rotor-Side Control Strategy(Institute of Electrical and Electronics Engineers Inc., 2020) Hiremath, R.; Moger, T.In DFIG, severe grid faults usually affect the wind turbine generator. Even in the extreme faults, LVRT is a solution for the grid connected wind generator. This paper deals with the LVRT enhancement through the rotor side controller explaining the co-ordinated control and feed-forward current control of the wind turbine based DFIG. The comparison is made between the controllers in accordance with the DFIG LVRT method. The approach of both controllers limits the maximum rotor current values and electromagnetic torque oscillations at the moment of occurrence and when the fault has been cleared. On the other hand, due to the PI-R controller being considered, the effects of the PI controller failure are presented. The best LVRT controller is shown when comparing the results of improved DFIG transient behavior and system stability. The outcome of this paper demonstrates that the FCRC approach to LVRT process is effective over the co-ordinated control. © 2020 IEEE.