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Narayanan K

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Research article
Published: 14 June 2021 in International Transactions on Electrical Energy Systems
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The distributed generation (DG) units are used more in the electrical networks to reduce the energy demand along with reducing the system losses and increasing the voltage profile of the load points. This paper presents an unintentional islanding detection, reliability enhancement, and power loss minimization of the restored system after an islanding event. The detection of islanding is performed by passive detection method of simultaneous measurement of voltage and frequency (vf)-based technique. The reliability of the system is increased along with the power loss minimization through reconfiguration by Particle Swarm Optimization (PSO) technique. The network reconfiguration is performed by identifying the most vulnerable buses, and reliability indices of the system are evaluated after the islanding event. The reliability indices act as a marker for validating the proposed reconfiguration strategy. The proposed method for islanding detection, reliability enhancement, and power loss minimization is compared with the existing methods available in the literature. The proposed method is tested on two different radial distribution system such as IEEE-69 and 118 bus systems, and the results obtained after the validation are promising.

ACS Style

Sowmya Ramachandradurai; Narayanan Krishnan. Islanding‐based reliability enhancement and power loss minimization by network reconfiguration using PSO with multiple DGs. International Transactions on Electrical Energy Systems 2021, 1 .

AMA Style

Sowmya Ramachandradurai, Narayanan Krishnan. Islanding‐based reliability enhancement and power loss minimization by network reconfiguration using PSO with multiple DGs. International Transactions on Electrical Energy Systems. 2021; ():1.

Chicago/Turabian Style

Sowmya Ramachandradurai; Narayanan Krishnan. 2021. "Islanding‐based reliability enhancement and power loss minimization by network reconfiguration using PSO with multiple DGs." International Transactions on Electrical Energy Systems , no. : 1.

Journal article
Published: 21 May 2021 in Energies
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Penetration of equipment such as photovoltaic power generations (PV), heat pump water heaters (HP), and electric vehicles (EV) introduces voltage unbalance issues in distribution systems. Controlling PV and energy storage system (ESS) outputs or coordinated EV charging are investigated for voltage unbalance compensation. However, some issues exist, such as dependency on installed capacity and fairness among consumers. Therefore, the ideal way to mitigate unbalanced voltages is to use grid-side equipment mainly. This paper proposes a voltage unbalance compensation based on optimal tap operation scheduling of three-phase individual controlled step voltage regulators (3ϕSVR) and load ratio control transformer (LRT). In the formulation of the optimization problem, multiple voltage unbalance metrics are comprehensively included. In addition, voltage deviations, network losses, and coordinated tap operations, which are typical issues in distribution systems, are considered. In order to investigate the mutual influence among voltage unbalance and other typical issues, various optimization problems are formulated, and then they are compared by numerical simulations. The results show that the proper operation of 3ϕSVRs and LRT effectively mitigates voltage unbalance. Furthermore, the results also show that voltage unbalances and other typical issues can be improved simultaneously with appropriate formulations.

ACS Style

Akito Nakadomari; Ryuto Shigenobu; Takeyoshi Kato; Narayanan Krishnan; Ashraf Hemeida; Hiroshi Takahashi; Tomonobu Senjyu. Unbalanced Voltage Compensation with Optimal Voltage Controlled Regulators and Load Ratio Control Transformer. Energies 2021, 14, 2997 .

AMA Style

Akito Nakadomari, Ryuto Shigenobu, Takeyoshi Kato, Narayanan Krishnan, Ashraf Hemeida, Hiroshi Takahashi, Tomonobu Senjyu. Unbalanced Voltage Compensation with Optimal Voltage Controlled Regulators and Load Ratio Control Transformer. Energies. 2021; 14 (11):2997.

Chicago/Turabian Style

Akito Nakadomari; Ryuto Shigenobu; Takeyoshi Kato; Narayanan Krishnan; Ashraf Hemeida; Hiroshi Takahashi; Tomonobu Senjyu. 2021. "Unbalanced Voltage Compensation with Optimal Voltage Controlled Regulators and Load Ratio Control Transformer." Energies 14, no. 11: 2997.

Journal article
Published: 18 May 2021 in Sustainability
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The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in the local population and the number of visitors visiting the Banana Islands. Banana Islands is a grid-isolated environment with abundant renewable energy, establishing a hybrid renewable energy-based power system may be a viable solution to the high cost of diesel fuel. This paper describes a dual-flow optimization method for electrifying the Banana Islands, a remote island in Sierra Leone. The study weighs the pros and cons of maintaining the current diesel-based power setup versus introducing a hybrid renewable energy system that takes backup component analysis into account. Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in the first optimization to optimally design the various system configurations based on techno-economic and environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model that takes into account in the second optimization, the Combinative Distance-based Assessment System (CODAS) algorithm, and various methods of assigning weights to the attributes is used to rank the best configuration. The results show that the hybrid renewable energy system is a better option for electrifying the Banana Islands than the current stand-alone system. The Analytical Hierarchy Process (AHP) method of weight assignment was found to be superior to the Entropy method. Biogas generator-assisted hybrid configurations outperformed diesel generator-assisted hybrid configurations. With an optimum design of 101 kW PV, 1 wind turbine, 50 kW biogas, 86 batteries, and a 37.8 kW converter, the PV-wind-biogas-battery system is rated as the best configuration. It has a net present cost (NPC) of $487,247, a cost of energy (COE) of $0.211/kWh, and CO2 emission of 17.5 kg/year. Sensitivity analyses reveal that changes in the rate of inflation and the cost of storage have a significant effect on the overall cost of the configuration.

ACS Style

Keifa Konneh; Hasan Masrur; Mohammad Othman; Hiroshi Takahashi; Narayanan Krishna; Tomonobu Senjyu. Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis. Sustainability 2021, 13, 5615 .

AMA Style

Keifa Konneh, Hasan Masrur, Mohammad Othman, Hiroshi Takahashi, Narayanan Krishna, Tomonobu Senjyu. Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis. Sustainability. 2021; 13 (10):5615.

Chicago/Turabian Style

Keifa Konneh; Hasan Masrur; Mohammad Othman; Hiroshi Takahashi; Narayanan Krishna; Tomonobu Senjyu. 2021. "Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis." Sustainability 13, no. 10: 5615.

Journal article
Published: 17 November 2020 in Journal of Renewable and Sustainable Energy
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ACS Style

Makoto Sugimura; Mahmoud M. Gamil; Homeyra Akter; Narayanan Krishna; Mamdouh Abdel-Akher; Paras Mandal; Tomonobu Senjyu. Optimal sizing and operation for microgrid with renewable energy considering two types demand response. Journal of Renewable and Sustainable Energy 2020, 12, 065901 .

AMA Style

Makoto Sugimura, Mahmoud M. Gamil, Homeyra Akter, Narayanan Krishna, Mamdouh Abdel-Akher, Paras Mandal, Tomonobu Senjyu. Optimal sizing and operation for microgrid with renewable energy considering two types demand response. Journal of Renewable and Sustainable Energy. 2020; 12 (6):065901.

Chicago/Turabian Style

Makoto Sugimura; Mahmoud M. Gamil; Homeyra Akter; Narayanan Krishna; Mamdouh Abdel-Akher; Paras Mandal; Tomonobu Senjyu. 2020. "Optimal sizing and operation for microgrid with renewable energy considering two types demand response." Journal of Renewable and Sustainable Energy 12, no. 6: 065901.

Journal article
Published: 01 November 2020 in Advances in Science, Technology and Engineering Systems Journal
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ACS Style

Srividhya. P; Mounika. K; Kirithikaa. S; Narayanan. K; Gulshan Sharma; Girish Ganesan. R; Tomonobu Senjyu. Reliability Improvement of Radial Distribution System by Reconfiguration. Advances in Science, Technology and Engineering Systems Journal 2020, 5, 472 -480.

AMA Style

Srividhya. P, Mounika. K, Kirithikaa. S, Narayanan. K, Gulshan Sharma, Girish Ganesan. R, Tomonobu Senjyu. Reliability Improvement of Radial Distribution System by Reconfiguration. Advances in Science, Technology and Engineering Systems Journal. 2020; 5 (6):472-480.

Chicago/Turabian Style

Srividhya. P; Mounika. K; Kirithikaa. S; Narayanan. K; Gulshan Sharma; Girish Ganesan. R; Tomonobu Senjyu. 2020. "Reliability Improvement of Radial Distribution System by Reconfiguration." Advances in Science, Technology and Engineering Systems Journal 5, no. 6: 472-480.

Journal article
Published: 01 June 2020 in International Journal of Emerging Electric Power Systems
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The optimal size and location of the compensator in the distribution system play a significant role in minimizing the energy loss and the cost of reactive power compensation. This article introduces an efficient heuristic-based approach to assign static shunt capacitors along radial distribution networks using multi-objective optimization method. A new objective function different from literature is adapted to enhance the overall system voltage stability index, minimize power loss, and to achieve maximum net yearly savings. However, the capacitor sizes are assumed as discrete known variables, which are to be placed on the buses such that it reduces the losses of the distribution system to a minimum. Load sensitive factor (LSF) has been used to predict the most effective buses as the best place for installing compensator devices. IEEE 34-bus and 118-bus test distribution systems are utilized to validate and demonstrate the applicability of the proposed method. The simulation results obtained are compared with previous methods reported in the literature and found to be encouraging.

ACS Style

Sayed Mir Shah Danish; Mikaeel Ahmadi; Atsushi Yona; Tomonobu Senjyu; Narayanan Krishna; Hiroshi Takahashi. Multi-objective optimization of optimal capacitor allocation in radial distribution systems. International Journal of Emerging Electric Power Systems 2020, 21, 1 .

AMA Style

Sayed Mir Shah Danish, Mikaeel Ahmadi, Atsushi Yona, Tomonobu Senjyu, Narayanan Krishna, Hiroshi Takahashi. Multi-objective optimization of optimal capacitor allocation in radial distribution systems. International Journal of Emerging Electric Power Systems. 2020; 21 (3):1.

Chicago/Turabian Style

Sayed Mir Shah Danish; Mikaeel Ahmadi; Atsushi Yona; Tomonobu Senjyu; Narayanan Krishna; Hiroshi Takahashi. 2020. "Multi-objective optimization of optimal capacitor allocation in radial distribution systems." International Journal of Emerging Electric Power Systems 21, no. 3: 1.

Journal article
Published: 01 January 2020 in Advances in Science, Technology and Engineering Systems Journal
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ACS Style

Vikas Anand Vatul; Arputha Aravinth; Narayanan K; Gulshan Sharma; Tomonobu Senjyu. A Novel Demand Side Management by Minimizing Cost Deviation. Advances in Science, Technology and Engineering Systems Journal 2020, 5, 262 -268.

AMA Style

Vikas Anand Vatul, Arputha Aravinth, Narayanan K, Gulshan Sharma, Tomonobu Senjyu. A Novel Demand Side Management by Minimizing Cost Deviation. Advances in Science, Technology and Engineering Systems Journal. 2020; 5 (5):262-268.

Chicago/Turabian Style

Vikas Anand Vatul; Arputha Aravinth; Narayanan K; Gulshan Sharma; Tomonobu Senjyu. 2020. "A Novel Demand Side Management by Minimizing Cost Deviation." Advances in Science, Technology and Engineering Systems Journal 5, no. 5: 262-268.

Journal article
Published: 31 December 2019 in International Journal on Electrical Engineering and Informatics
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ACS Style

Narayanan K; Girish Ganesan R; Ramesh K; Shahbaz A Siddiqui; Manoj Fozdar. A New Scheme for Islanding Event Identification by Strategic Installation of Different DG Units. International Journal on Electrical Engineering and Informatics 2019, 11, 713 -732.

AMA Style

Narayanan K, Girish Ganesan R, Ramesh K, Shahbaz A Siddiqui, Manoj Fozdar. A New Scheme for Islanding Event Identification by Strategic Installation of Different DG Units. International Journal on Electrical Engineering and Informatics. 2019; 11 (4):713-732.

Chicago/Turabian Style

Narayanan K; Girish Ganesan R; Ramesh K; Shahbaz A Siddiqui; Manoj Fozdar. 2019. "A New Scheme for Islanding Event Identification by Strategic Installation of Different DG Units." International Journal on Electrical Engineering and Informatics 11, no. 4: 713-732.

Journal article
Published: 14 November 2019 in International Journal of Emerging Electric Power Systems
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Abnormal Voltages in electrical distribution system is a threat to power system security and may cause equipment damages. Reconfiguration aids in the proper distribution of load and thus improving the voltage profile. The multi objective framework including node voltage deviation as primary objective and power loss and reliability as secondary objectives is formulated. The novel meta heuristic method based on binary particle swarm optimization (BPSO) is employed to find the optimal radial distribution network configuration for an assortment of objective function. The effect of inertia weight, position and population of swarm is deeply investigated. The proposed method has been verified on IEEE 33 and 69 bus radial distribution systems and found to be effective in minimizing node voltage deviation. The impact of the reconfigured system on voltage deviation, power loss and reliability has been studied extensively. BPSO calculations are found to be simple and has good Convergence characteristics in comparison with other meta heuristic techniques.

ACS Style

Mounika Kannan; Kirithikaa Sampath; Srividhya Pattabiraman; K Narayanan; Tomonobu Senjyu. Meta-Heuristic BPSO Based Voltage Profile Enhancement in Radial Distribution System Through Network Reconfiguration. International Journal of Emerging Electric Power Systems 2019, 20, 1 .

AMA Style

Mounika Kannan, Kirithikaa Sampath, Srividhya Pattabiraman, K Narayanan, Tomonobu Senjyu. Meta-Heuristic BPSO Based Voltage Profile Enhancement in Radial Distribution System Through Network Reconfiguration. International Journal of Emerging Electric Power Systems. 2019; 20 (6):1.

Chicago/Turabian Style

Mounika Kannan; Kirithikaa Sampath; Srividhya Pattabiraman; K Narayanan; Tomonobu Senjyu. 2019. "Meta-Heuristic BPSO Based Voltage Profile Enhancement in Radial Distribution System Through Network Reconfiguration." International Journal of Emerging Electric Power Systems 20, no. 6: 1.

Journal article
Published: 29 September 2019 in Applied Sciences
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Renewable energies (REs) such as photovoltaic generation (PV) have been gaining attention in distribution systems. Recently, houses with PV and battery systems, as well as electric vehicles (EV) are expected to contribute to not only the suppression of global warming but also reducing electricity bill on the consumer side. However, there are numerous challenges with the introduction of REs at the demand side such as the actual output of REs often deviating from the forecasted output, which causes fluctuation of the power flow and this is challenging for the distribution or transmission system operator. For this challenge, it is expected that smart grid technology using controllable loads such as a fixed battery or EV battery, can suppress fluctuation of power flow. This paper presents a decision method of optimal scheduling of controllable loads to suppress the fluctuation of power flow by PV output in the smart home. An optimization method to cope with uncertainties such as variability of PV power and effective forecasting methods are considered in the proposed scheme. In order to decrease the expected operational cost and to validate the robustness for the uncertainty’s optimization approach, statistical analysis is executed for the optimal scheduling scheme. From the optimization results, the proposed methodology suppressed the fluctuation of power flow in the smart home and also minimized the consumer operational cost.

ACS Style

Akihiro Yoza; Kosuke Uchida; Shantanu Chakraborty; Narayanan Krishna; Mitsunaga Kinjo; Tomonobu Senjyu; Zengfeng Yan. Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties. Applied Sciences 2019, 9, 4064 .

AMA Style

Akihiro Yoza, Kosuke Uchida, Shantanu Chakraborty, Narayanan Krishna, Mitsunaga Kinjo, Tomonobu Senjyu, Zengfeng Yan. Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties. Applied Sciences. 2019; 9 (19):4064.

Chicago/Turabian Style

Akihiro Yoza; Kosuke Uchida; Shantanu Chakraborty; Narayanan Krishna; Mitsunaga Kinjo; Tomonobu Senjyu; Zengfeng Yan. 2019. "Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties." Applied Sciences 9, no. 19: 4064.

Journal article
Published: 20 August 2019 in Sustainability
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This paper focuses on the optimal unit commitment (UC) scheme along with optimal power trading for the Northeast Power System (NEPS) of Afghanistan with a penetration of 230 MW of PV power energy. The NEPS is the biggest power system of Afghanistan fed from three main sources; 1. Afghanistan’s own power generation units (three thermal units and three hydro units); 2. imported power from Tajikistan; 3. imported power from Uzbekistan. PV power forecasting fluctuations have been handled by means of 50 scenarios generated by Latin-hypercube sampling (LHS) after getting the point solar radiation forecast through the neural network (NN) toolbox. To carry out the analysis, we consider three deterministic UC and two stochastic UC cases with a two-stage programming model that indicates the day-ahead UC as the first stage and the intra-day operation of the system as the second stage. A binary-real genetic algorithm is coded in MATLAB software to optimize the proposed cases in terms of thermal units’ operation costs, import power tariffs, as well as from the perspective of the system reliability risks expressed as the reserve and load not served costs. The results indicate that in the deterministic UC models, the risk of reserve and load curtailment does exist. The stochastic UC approaches including the optimal power trading are superior to the deterministic ones. Moreover, the scheduled UC costs and reserves are different from the actual ones.

ACS Style

Mohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability 2019, 11, 4504 .

AMA Style

Mohammad Masih Sediqi, Mohammed Elsayed Lotfy, Abdul Matin Ibrahimi, Tomonobu Senjyu, Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability. 2019; 11 (16):4504.

Chicago/Turabian Style

Mohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. 2019. "Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty." Sustainability 11, no. 16: 4504.

Journal article
Published: 02 May 2019 in Sustainability
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In recent years, due to the enforcement of the Feed-in tariff (FIT) scheme for renewable energy, a large number of photovoltaic (PV) has been introduced, which causes fluctuations in the supply-demand balance of a power system. As measures against this, the introduction of large capacity storage batteries and demand response has been carried out, and the balance between supply and demand has been adjusted. However, since the increase in capacity of the storage battery is expensive, it is necessary to optimize the capacity of the storage battery from an economic point of view. Therefore, in the power system to which a large amount of photovoltaic power generation has been introduced, the optimal capacity and optimal arrangement of storage batteries are examined. In this paper, the determination of storage battery placement and capacity considering one year is performed by three-step simulation based on probability density function. Simulations show the effectiveness of storage batteries by considering the introduction of demand response and comparing with multiple cases.

ACS Style

Hiroki Aoyagi; Ryota Isomura; Paras Mandal; Narayanan Krishna; Tomonobu Senjyu; Hiroshi Takahashi. Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics. Sustainability 2019, 11, 2556 .

AMA Style

Hiroki Aoyagi, Ryota Isomura, Paras Mandal, Narayanan Krishna, Tomonobu Senjyu, Hiroshi Takahashi. Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics. Sustainability. 2019; 11 (9):2556.

Chicago/Turabian Style

Hiroki Aoyagi; Ryota Isomura; Paras Mandal; Narayanan Krishna; Tomonobu Senjyu; Hiroshi Takahashi. 2019. "Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics." Sustainability 11, no. 9: 2556.

Conference paper
Published: 01 May 2019 in 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
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The distribution system is characterized by radial topology in which failure of a component would lead to service interruptions and may lead to disconnection of a handful of load points. In this paper a feeder reconfiguration method is presented for minimization of reliability indices. The Binary Particle Swarm Optimization is used to handle the reconfiguration which identifies the optimal tie switches for minimizing the duration and frequency of interruptions. The influence of various parameters in Binary Particle Swarm Optimization on the rate of convergence of the optimal solution is derived. The proposed algorithm is tested in 33 and 69 bus system and the results show the optimum value of the reliability indices.

ACS Style

Srividhya Pattabiraman; Kirithikaa Sampath; Mounika Kannan; Ganesan R. Girish; K. Narayanan; Girish Ganesan R; Narayanan K. Reliability Improvement in Radial Distribution System through Reconfiguration. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 1963 -1967.

AMA Style

Srividhya Pattabiraman, Kirithikaa Sampath, Mounika Kannan, Ganesan R. Girish, K. Narayanan, Girish Ganesan R, Narayanan K. Reliability Improvement in Radial Distribution System through Reconfiguration. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():1963-1967.

Chicago/Turabian Style

Srividhya Pattabiraman; Kirithikaa Sampath; Mounika Kannan; Ganesan R. Girish; K. Narayanan; Girish Ganesan R; Narayanan K. 2019. "Reliability Improvement in Radial Distribution System through Reconfiguration." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 1963-1967.

Conference paper
Published: 01 May 2019 in 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
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With the development of Distributed Generation (DG) systems, there are new challenges in the operation of modern power systems. The identification and islanded operation of the system has become complex. Failure to detect islanding might result in decline of the system performance. This paper presents a technique for identifying the bus vulnerable for islanding (RIIT) in the presence of a single large DG unit. In the identified islands, power mismatch is alleviated by a Rank Based Load Shedding scheme. Investigations on standard IEEE radial bus systems have been carried out to evaluate the validity of the proposed schemes.

ACS Style

K. Narayanan; R. Girish Ganesan; B. Mahadevan; Shahbaz A. Siddiqui; Manoj Fozdar; Narayanan K; Girish Ganesan R; Mahadevan B. Robust Islanding Identification Technique for single DG Distribution Networks and Rank Based Load Shedding. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 3959 -3964.

AMA Style

K. Narayanan, R. Girish Ganesan, B. Mahadevan, Shahbaz A. Siddiqui, Manoj Fozdar, Narayanan K, Girish Ganesan R, Mahadevan B. Robust Islanding Identification Technique for single DG Distribution Networks and Rank Based Load Shedding. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():3959-3964.

Chicago/Turabian Style

K. Narayanan; R. Girish Ganesan; B. Mahadevan; Shahbaz A. Siddiqui; Manoj Fozdar; Narayanan K; Girish Ganesan R; Mahadevan B. 2019. "Robust Islanding Identification Technique for single DG Distribution Networks and Rank Based Load Shedding." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 3959-3964.

Conference paper
Published: 01 May 2019 in 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
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The Distributed Generator (DG) improves the voltage stability and reduces the power losses when integrated in a Distribution Network (DN). This paper offers a multi-objective framework for integration of Distributed Generator (DG) for different configurations of a distribution network. An investigation has been performed for multiple objectives like reduction of real power losses and voltage deviation at the point of integration of type-I DG. The location for integration of DG is determined by using Voltage Sensitivity Index (VSI). Genetic Algorithm (GA) has been used for optimizing the size of DG at the point of integration. This helps in improving the stability of the voltage sensitive buses. The tests have been performed on standard IEEE radial distribution test systems and the results obtained are promising.

ACS Style

N. Arputha Aravinth; Vikas Anand Vatul; K. Narayanan; Narayanan K. A Multi Objective Framework for Optimal Installation of Distributed Generator Units Using Genetic Algorithm. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 1347 -1351.

AMA Style

N. Arputha Aravinth, Vikas Anand Vatul, K. Narayanan, Narayanan K. A Multi Objective Framework for Optimal Installation of Distributed Generator Units Using Genetic Algorithm. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():1347-1351.

Chicago/Turabian Style

N. Arputha Aravinth; Vikas Anand Vatul; K. Narayanan; Narayanan K. 2019. "A Multi Objective Framework for Optimal Installation of Distributed Generator Units Using Genetic Algorithm." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 1347-1351.

Journal article
Published: 24 April 2019 in Energies
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Increasing demand for electricity and the modernization of power systems within competitive markets has induced power systems to operate close to their stability limits. Therefore, the continuous monitoring and control of power systems through voltage stability indices is urgently needed. This is the first-ever effort to examine more than 40 voltage stability indices based on their formulation, application, performance, and assessment measures. These indices are sorted based on a logical and chronological order considering the most recent indices to be applied worldwide. However, the generalizability of these indices in terms of multivariable objectives is limited. Despite its limitation, this study systematically reviews available indices in the literature within the past three decades to compile an integrated knowledge base with an up-to-date exposition. This is followed by a comparative analysis in terms of their similarity, functionality, applicability, formulation, merit, demerit, and overall performance. Also, a broad categorization of voltage stability indices is addressed. This study serves as an exhaustive roadmap of the issue and can be counted as a reference for planning and operation in the context of voltage stability for students, researchers, scholars, and practitioners.

ACS Style

Mir Sayed Shah Danish; Tomonobu Senjyu; Sayed Mir Shah Danish; Najib Rahman Sabory; Narayanan K; Paras Mandal. A Recap of Voltage Stability Indices in the Past Three Decades. Energies 2019, 12, 1544 .

AMA Style

Mir Sayed Shah Danish, Tomonobu Senjyu, Sayed Mir Shah Danish, Najib Rahman Sabory, Narayanan K, Paras Mandal. A Recap of Voltage Stability Indices in the Past Three Decades. Energies. 2019; 12 (8):1544.

Chicago/Turabian Style

Mir Sayed Shah Danish; Tomonobu Senjyu; Sayed Mir Shah Danish; Najib Rahman Sabory; Narayanan K; Paras Mandal. 2019. "A Recap of Voltage Stability Indices in the Past Three Decades." Energies 12, no. 8: 1544.

Journal article
Published: 23 February 2019 in Sustainability
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Combating climate change issues resulting from excessive use of fossil fuels comes with huge initial costs, thereby posing difficult challenges for the least developed countries in Sub-Saharan Africa (SSA) to invest in renewable energy alternatives, especially with rapid industrialization. However, designing renewable energy systems usually hinges on different economic and environmental criteria. This paper used the Multi-Objective Particle Swarm Optimization (MOPSO) technique to optimally size ten grid-connected hybrid blocks selected amongst Photo-Voltaic (PV) panels, onshore wind turbines, biomass combustion plant using sugarcane bagasse, Battery Energy Storage System (BESS), and Diesel Generation (DG) system as backup power, to reduce the supply deficit in Sierra Leone. Resource assessment using well-known methods was done for PV, wind, and biomass for proposed plant sites in Kabala District in Northern and Kenema District in Southern Sierra Leone. Long term analysis was done for the ten hybrid blocks projected over 20 years whilst ensuring the following objectives: minimizing the Deficiency of Power Supply Probability (DPSP), Diesel Energy Fraction (DEF), Life Cycle Costs (LCC), and carbon dioxide (CO 2 ) emissions. Capacity factors of 27.41 % and 31.6 % obtained for PV and wind, respectively, indicate that Kabala district is the most feasible location for PV and wind farm installations. The optimum results obtained are compared across selected blocks for DPSP values of 0–50% to determine the most economical and environmentally friendly alternative that policy makers in Sierra Leone and the region could apply to similar cases.

ACS Style

David Konneh; Harun Howlader; Ryuto Shigenobu; Tomonobu Senjyu; Shantanu Chakraborty; Narayanan Krishna. A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization. Sustainability 2019, 11, 1188 .

AMA Style

David Konneh, Harun Howlader, Ryuto Shigenobu, Tomonobu Senjyu, Shantanu Chakraborty, Narayanan Krishna. A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization. Sustainability. 2019; 11 (4):1188.

Chicago/Turabian Style

David Konneh; Harun Howlader; Ryuto Shigenobu; Tomonobu Senjyu; Shantanu Chakraborty; Narayanan Krishna. 2019. "A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization." Sustainability 11, no. 4: 1188.

Journal article
Published: 18 January 2019 in International Journal of Emerging Electric Power Systems
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This paper investigates the performance of a radial system while installing a Distributed Generator (DG) in existing Distribution Network (DN). The investigation has been performed with various types of DG units for different topologies of the DN. The present work uses a Voltage Stability Index (VSI) for identifying the location for installing a DG in the DN. A multi-objective framework is proposed to evaluate the size of the DG to be installed by reducing power loss and deviation in bus voltage. Genetic Algorithm (GA) is used to optimize the size of DG. The proposed method has been tested with different types of DG units on standard systems (IEEE-33 bus and IEEE-69) with different radial topologies of DN.

ACS Style

Arputha Aravinth; Vikas Anand Vatul; K Narayanan; K Muthukumar; Tomonobu Senjyu. A Multi-Objective Framework to Improve Voltage Stability in A Distribution Network. International Journal of Emerging Electric Power Systems 2019, 20, 1 .

AMA Style

Arputha Aravinth, Vikas Anand Vatul, K Narayanan, K Muthukumar, Tomonobu Senjyu. A Multi-Objective Framework to Improve Voltage Stability in A Distribution Network. International Journal of Emerging Electric Power Systems. 2019; 20 (1):1.

Chicago/Turabian Style

Arputha Aravinth; Vikas Anand Vatul; K Narayanan; K Muthukumar; Tomonobu Senjyu. 2019. "A Multi-Objective Framework to Improve Voltage Stability in A Distribution Network." International Journal of Emerging Electric Power Systems 20, no. 1: 1.

Proceedings article
Published: 01 May 2018 in 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
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There is an ever-increasing demand for viable, clean, energy sources. The main obstacle in using solar energy sources is that the output voltage obtained is too low for practical use. The obtained output voltage should be stepped up considerably in connection with the utility mains. DC-DC converters also find a place in smart grid systems with Distributed Generation (DG) units. The objective of this paper is to design an efficient, non isolated DC-DC converter. The proposed design consists of a two- phase interleaved boost converter with a flyback stage coupled to one of its phases. The primary features of the topology are continuous input current, moderate duty ration operation, and relatively reduced device stresses. Results of SPICE simulations prove the validity of the converter. Experimental verification of the proposed converter is to be taken up as future work.

ACS Style

Girish Ganesan R.; Gautham Venkat Venkateswaran; Narayanan K.; R Girish Ganesan. Non-Isolated Interleaved Flyback Converter. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2018, 922 -927.

AMA Style

Girish Ganesan R., Gautham Venkat Venkateswaran, Narayanan K., R Girish Ganesan. Non-Isolated Interleaved Flyback Converter. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2018; ():922-927.

Chicago/Turabian Style

Girish Ganesan R.; Gautham Venkat Venkateswaran; Narayanan K.; R Girish Ganesan. 2018. "Non-Isolated Interleaved Flyback Converter." 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 922-927.

Proceedings article
Published: 01 May 2018 in 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
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Conventional converters provide gain at the cost of high duty ratio operation, increased switch stress, increased control complexity and lossy power conversion. A non-isolated high gain DC-DC converter with two interleaved flyback stages is presented. The interleaved stage adopts a voltage lift capacitor to enhance the output voltage in the base stage of the converter. The secondary state consists of the secondary windings of the inductor in series to the output of the primary stage. This arrangement provides high gain without extreme duty ratio operation. The simulation results for a design of 100W, 24V/480V is presented which validate the feasibility of the proposed converter. This converter is a proposed to be used as a viable alternative in HID lamp and automobile applications. The hardware verification of the proposed converter is underway.

ACS Style

Girish Ganesan R.; Srividhya Pattabiraman; Narayanan K.; Manju A.. Voltage Lift Based Interleaved Flyback Converter. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2018, 214 -219.

AMA Style

Girish Ganesan R., Srividhya Pattabiraman, Narayanan K., Manju A.. Voltage Lift Based Interleaved Flyback Converter. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2018; ():214-219.

Chicago/Turabian Style

Girish Ganesan R.; Srividhya Pattabiraman; Narayanan K.; Manju A.. 2018. "Voltage Lift Based Interleaved Flyback Converter." 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 214-219.