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Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.
Yongyi Huang; Atsushi Yona; Hiroshi Takahashi; Ashraf Hemeida; Paras Mandal; Alexey Mikhaylov; Tomonobu Senjyu; Mohammed Lotfy. Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation. Sustainability 2021, 13, 6163 .
AMA StyleYongyi Huang, Atsushi Yona, Hiroshi Takahashi, Ashraf Hemeida, Paras Mandal, Alexey Mikhaylov, Tomonobu Senjyu, Mohammed Lotfy. Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation. Sustainability. 2021; 13 (11):6163.
Chicago/Turabian StyleYongyi Huang; Atsushi Yona; Hiroshi Takahashi; Ashraf Hemeida; Paras Mandal; Alexey Mikhaylov; Tomonobu Senjyu; Mohammed Lotfy. 2021. "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation." Sustainability 13, no. 11: 6163.
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.
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 StyleSayed 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 StyleSayed 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.
This paper presents a novel design scheme to reshape the solar panel configuration and hence improve power generation efficiency via changing the traditional PVpanel arrangement. Compared to the standard PV arrangement, which is the S-shape, the proposed M-shape PV arrangement shows better performance advantages. The sky isotropic model was used to calculate the annual solar radiation of each azimuth and tilt angle for the six regions which have different latitudes in Asia—Thailand (Bangkok), China (Hong Kong), Japan (Naha), Korea (Jeju), China (Shenyang), and Mongolia (Darkhan). The optimal angle of the two types of design was found. It emerged that the optimal tilt angle of the M-shape tends to 0. The two types of design efficiencies were compared using Naha’s geographical location and sunshine conditions. Through economic analyses, both the photovoltaic base cost and the electricity sales revenue were calculated, and the results showed that the M-shape has better economic benefits compared to the S-shape design. The proposed method can save resources and improve economic efficiency as well.
Yongyi Huang; Ryuto Shigenobu; Atsushi Yona; Paras Mandal; Zengfeng Yan; Tomonobu Senjyu. M-Shape PV Arrangement for Improving Solar Power Generation Efficiency. Applied Sciences 2020, 10, 537 .
AMA StyleYongyi Huang, Ryuto Shigenobu, Atsushi Yona, Paras Mandal, Zengfeng Yan, Tomonobu Senjyu. M-Shape PV Arrangement for Improving Solar Power Generation Efficiency. Applied Sciences. 2020; 10 (2):537.
Chicago/Turabian StyleYongyi Huang; Ryuto Shigenobu; Atsushi Yona; Paras Mandal; Zengfeng Yan; Tomonobu Senjyu. 2020. "M-Shape PV Arrangement for Improving Solar Power Generation Efficiency." Applied Sciences 10, no. 2: 537.
Due to the highly increasing integration of renewable energy sources with the power grid and their fluctuations, besides the recent growth of new power electronics equipment, the noise in power systems has become colored. The colored noise affects the methodologies for power quality parameters’ estimation, such as harmonic and interharmonic components. Estimation of signal parameters via rotational invariance techniques (ESPRIT) as a parametric technique with high resolution has proven its efficiency in the estimation of power signal components’ frequencies, amplitudes, and phases for quality analysis, under the assumption of white Gaussian noise. Since ESPRIT suffers from high computational effort, filter bank ESPRIT (FB-ESPRIT) was suggested for mitigation of the complexity. This manuscript suggests FB-ESPRIT as well for accurate and robust estimation of power signal components’ parameters in the presence of the colored noise. Even though the parametric techniques depend on the Gaussianity of contaminating noise to perform properly, FB-ESPRIT performs well in colored noise. The FB-ESPRIT superiority compared with the conventional ESPRIT and MUSIC techniques was demonstrated through many simulations runs on synthetic power signals with multiple harmonics, interharmonics, and subharmonic components in the presence of noises of different colors and different SNR levels. FB-ESPRIT had a significant efficiency superiority in power quality analysis with a wide gap distance from the other estimators, especially under the high level of colored noise.
Elaine Santos; Mahdi Khosravy; Marcelo A. A. Lima; Augusto S. Cerqueira; Carlos A. Duque; Atsushi Yona. High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT. Electronics 2019, 8, 1259 .
AMA StyleElaine Santos, Mahdi Khosravy, Marcelo A. A. Lima, Augusto S. Cerqueira, Carlos A. Duque, Atsushi Yona. High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT. Electronics. 2019; 8 (11):1259.
Chicago/Turabian StyleElaine Santos; Mahdi Khosravy; Marcelo A. A. Lima; Augusto S. Cerqueira; Carlos A. Duque; Atsushi Yona. 2019. "High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT." Electronics 8, no. 11: 1259.
Extension of renewable energies in power system planning and operation especially distribution networks is not limited to power sustainability. It also encompasses many significant contributions such as eliminating electricity shortages by diversifying energy supply, improving reliability with power quality, reducing greenhouse gas emissions, and providing energy independence, which is the most crucial aspect for both developed and developing countries power sector. The extraction of such benefits in the best manner can be achieved by considering storage and control devices, aiding well-configured electricity networks through competitive optimisation techniques. By taking such points into consideration, optimal multi-configuration and allocation of step-voltage regulators (SVRs), capacitor banks, and energy storage system along with centralised wind-power generation integrating to distribution network are investigated and applied, using a novel and Pareto based epsilon multi-objective genetic algorithm. The proposed methodology is applied to an extensive and real 162-bus distribution network in Kabul city to validate its sturdiness. The simulations are performed in MATLAB® environment with six configuration scenarios to compare the effect of multiple arrangements in the distribution network, and to discover the best configuration fulfilling the optimisation criteria with the objective functions being as power loss, voltage deviation, and violation cost.
Mikaeel Ahmadi; Mohamed Elsayed Lotfy; Mir Sayed Shah Danish; Shigenobu Ryuto; Atsushi Yona; Tomonobu Senjyu. Optimal multi‐configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage system: a multi‐objective approach in a real distribution network. IET Renewable Power Generation 2019, 13, 762 -773.
AMA StyleMikaeel Ahmadi, Mohamed Elsayed Lotfy, Mir Sayed Shah Danish, Shigenobu Ryuto, Atsushi Yona, Tomonobu Senjyu. Optimal multi‐configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage system: a multi‐objective approach in a real distribution network. IET Renewable Power Generation. 2019; 13 (5):762-773.
Chicago/Turabian StyleMikaeel Ahmadi; Mohamed Elsayed Lotfy; Mir Sayed Shah Danish; Shigenobu Ryuto; Atsushi Yona; Tomonobu Senjyu. 2019. "Optimal multi‐configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage system: a multi‐objective approach in a real distribution network." IET Renewable Power Generation 13, no. 5: 762-773.
Agada Ihuoma Nkechi; Abdul Motin Howlader; Atsushi Yona. Integration of Photovoltaic Energy to the Grid, Using the Virtual Synchronous Generator Control Technique. Journal of Energy and Power Engineering 2018, 12, 1 .
AMA StyleAgada Ihuoma Nkechi, Abdul Motin Howlader, Atsushi Yona. Integration of Photovoltaic Energy to the Grid, Using the Virtual Synchronous Generator Control Technique. Journal of Energy and Power Engineering. 2018; 12 (7):1.
Chicago/Turabian StyleAgada Ihuoma Nkechi; Abdul Motin Howlader; Atsushi Yona. 2018. "Integration of Photovoltaic Energy to the Grid, Using the Virtual Synchronous Generator Control Technique." Journal of Energy and Power Engineering 12, no. 7: 1.
Issoufou Tahirou Halidou; Harun Or Rashid Howlader; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. Unit Commitment in the Presence of Renewable Energy Sources and Energy Storage System: Case Study. Journal of Energy and Power Engineering 2018, 12, 1 .
AMA StyleIssoufou Tahirou Halidou, Harun Or Rashid Howlader, Mohammed E. Lotfy, Atsushi Yona, Tomonobu Senjyu. Unit Commitment in the Presence of Renewable Energy Sources and Energy Storage System: Case Study. Journal of Energy and Power Engineering. 2018; 12 (6):1.
Chicago/Turabian StyleIssoufou Tahirou Halidou; Harun Or Rashid Howlader; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. 2018. "Unit Commitment in the Presence of Renewable Energy Sources and Energy Storage System: Case Study." Journal of Energy and Power Engineering 12, no. 6: 1.
Issoufou Tahirou Halidou; Mohamed Elsayed Lotfy; Atsushi Yona; Tomonobu Senjyu; Abdoul Aziz Ibrahim. Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger. International Journal of Power and Energy Research 2018, 2, 1 .
AMA StyleIssoufou Tahirou Halidou, Mohamed Elsayed Lotfy, Atsushi Yona, Tomonobu Senjyu, Abdoul Aziz Ibrahim. Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger. International Journal of Power and Energy Research. 2018; 2 (2):1.
Chicago/Turabian StyleIssoufou Tahirou Halidou; Mohamed Elsayed Lotfy; Atsushi Yona; Tomonobu Senjyu; Abdoul Aziz Ibrahim. 2018. "Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger." International Journal of Power and Energy Research 2, no. 2: 1.
Kazuki Ogimi; Shota Kamiyama; Michael Palmer; Atsushi Yona; Tomonobu Senju; Toshihisa Funabashi. Optimal Operation Planning of Wind Farm Installed BESS Using Wind Power Forecast Data of Wind Turbine Generators Considering Forecast Error. ENERGYO 2018, 1 .
AMA StyleKazuki Ogimi, Shota Kamiyama, Michael Palmer, Atsushi Yona, Tomonobu Senju, Toshihisa Funabashi. Optimal Operation Planning of Wind Farm Installed BESS Using Wind Power Forecast Data of Wind Turbine Generators Considering Forecast Error. ENERGYO. 2018; ():1.
Chicago/Turabian StyleKazuki Ogimi; Shota Kamiyama; Michael Palmer; Atsushi Yona; Tomonobu Senju; Toshihisa Funabashi. 2018. "Optimal Operation Planning of Wind Farm Installed BESS Using Wind Power Forecast Data of Wind Turbine Generators Considering Forecast Error." ENERGYO , no. : 1.
From the perspective of global warming suppression and the depletion of energy resources, renewable energies, such as the solar collector (SC) and photovoltaic generation (PV), have been gaining attention in worldwide. Houses or buildings with PV and heat pumps (HPs) are recently being used in residential areas widely due to the time of use (TOU) electricity pricing scheme which is essentially inexpensive during middle-night and expensive during day-time. If fixed batteries and electric vehicles (EVs) can be introduced in the premises, the electricity cost would be even more reduced. While, if the occupants arbitrarily use these controllable loads respectively, power demand in residential buildings may fluctuate in the future. Thus, an optimal operation of controllable loads such as HPs, batteries and EV should be scheduled in the buildings in order to prevent power flow from fluctuating rapidly. This paper proposes an optimal scheduling method of controllable loads, and the purpose is not only the minimization of electricity cost for the consumers, but also suppression of fluctuation of power flow on the power supply side. Furthermore, a novel electricity pricing scheme is also suggested in this paper.
Tsubasa Shimoji; Hayato Tahara; Hidehito Matayoshi; Atsushi Yona; Tomonobu Senjyu. Optimal Scheduling Method of Controllable Loads in DC Smart Apartment Building. ENERGYO 2018, 1 .
AMA StyleTsubasa Shimoji, Hayato Tahara, Hidehito Matayoshi, Atsushi Yona, Tomonobu Senjyu. Optimal Scheduling Method of Controllable Loads in DC Smart Apartment Building. ENERGYO. 2018; ():1.
Chicago/Turabian StyleTsubasa Shimoji; Hayato Tahara; Hidehito Matayoshi; Atsushi Yona; Tomonobu Senjyu. 2018. "Optimal Scheduling Method of Controllable Loads in DC Smart Apartment Building." ENERGYO , no. : 1.
Wind energy conversion systems have become important in the research of renewable energy sources. This is in no small part due to the rapid advances in the size of wind generators as well as the development of power electronics and their applicability in wind energy extraction. However, wind energy has a drawback of having only 1/800 (gm per cubic cm) density as compared to that of water energy. Wind energy does not remain constant and wind turbine output is proportional to the cube of wind speed, which causes the generated power of the wind turbine generator (WTG) to fluctuate. In this paper, a technique is proposed for output power leveling of a wind generation system. Wind turbine blades have a large inertia compared to the inertia of a generator. The inertia of the rotor behaves like an inductor in an electrical circuit. It helps smooth the wind turbine output power, stores energy during acceleration, and restores energy during deceleration. The effectiveness of output power leveling control is verified by simulations for the wind power generation system.
Abdul Motin Howlader; Naomitsu Urasaki; Atsushi Yona; Tomonobu Senjyu; Chul-Hwan Kim; Ahmed Y. Saber. Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine. ENERGYO 2018, 1 .
AMA StyleAbdul Motin Howlader, Naomitsu Urasaki, Atsushi Yona, Tomonobu Senjyu, Chul-Hwan Kim, Ahmed Y. Saber. Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine. ENERGYO. 2018; ():1.
Chicago/Turabian StyleAbdul Motin Howlader; Naomitsu Urasaki; Atsushi Yona; Tomonobu Senjyu; Chul-Hwan Kim; Ahmed Y. Saber. 2018. "Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine." ENERGYO , no. : 1.
This paper presents a determination methodology for finding optimal operation schedules of thermal units (namely unit commitment) integrated with an energy storage system (ESS) to minimize total operating costs. A generic ESS formulation along with a method for solving unit commitment (UC) of thermal units with ESS is proposed to serve this purpose. The problem of unit commitment with an ESS is solved using the Priority List method. Intelligent Genetic algorithm (GA) is included in the algorithm for generating new and potential solutions. The proposed method consists of two steps. The first step is to determine the schedule of ESS and the schedule of thermal units. The second step is to dispatch the hourly output of thermal units and the ESS which comply a minimized total production cost. The proposed method is applied to a power system with ten thermal units and a large ESS. The presented simulation results show that the schedule of thermal units with an ESS of a particular life cycle, achieved by the proposed method, minimizes the operating cost. The discussion regarding the determination of schedule thermal units (TU) along with the integrated ESS may interest many types of ESS due to their generalized formulations.
Tomonobu Senjyu; Shantanu Chakraborty; Ahmed Yousuf Saber; Atsushi Yona; Toshihisa Funabashi. Determination of an Optimal Operating Schedule for Thermal Units with an Energy Storage System. ENERGYO 2018, 1 .
AMA StyleTomonobu Senjyu, Shantanu Chakraborty, Ahmed Yousuf Saber, Atsushi Yona, Toshihisa Funabashi. Determination of an Optimal Operating Schedule for Thermal Units with an Energy Storage System. ENERGYO. 2018; ():1.
Chicago/Turabian StyleTomonobu Senjyu; Shantanu Chakraborty; Ahmed Yousuf Saber; Atsushi Yona; Toshihisa Funabashi. 2018. "Determination of an Optimal Operating Schedule for Thermal Units with an Energy Storage System." ENERGYO , no. : 1.
From the perspective of global warming suppression and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electrification apartment house or residence such as DC smart house have increased in recent years. However, due to fluctuating power from renewable energy sources and loads, supply–demand balancing fluctuations of power system become problematic. Therefore, “smart grid” has become very popular in the worldwide. This article presents a methodology for optimal operation of a smart grid to minimize the interconnection point power flow fluctuations. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the interconnection point power flow fluctuations, it is possible to reduce the maximum electric power consumption and the electric cost. This system consists of photovoltaics generator, heat pump, battery, solar collector, and load. In order to verify the effectiveness of the proposed system, MATLAB is used in simulations.
Akihiro Yoza; Kosuke Uchida; Atsushi Yona; Tomonobu Senju. Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology. ENERGYO 2018, 1 .
AMA StyleAkihiro Yoza, Kosuke Uchida, Atsushi Yona, Tomonobu Senju. Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology. ENERGYO. 2018; ():1.
Chicago/Turabian StyleAkihiro Yoza; Kosuke Uchida; Atsushi Yona; Tomonobu Senju. 2018. "Optimal Operation Method of Smart House by Controllable Loads based on Smart Grid Topology." ENERGYO , no. : 1.
This paper presents the voltage stability of a DC smart grid based on renewable energy resources during grid connected and isolated modes. During the islanded mode the load shedding, based on the state of charge of the battery and distribution line voltage, was proposed for voltage stability and reservation of critical load power. The analyzed power system comprises a wind turbine, a photovoltaic generator, storage battery as controllable load, DC loads, and power converters. A fuzzy logic control strategy was applied for power consumption control of controllable loads and the grid-connected dual active bridge series resonant converters. The proposed DC Smart Grid operation has been verified by simulation using MATLAB® and PLECS® Blockset. The obtained results show the effectiveness of the proposed method.
Thabit Salim Nassor; Tomonobu Senjyu; Atsushi Yona. Enhancement of Voltage Stability of DC Smart Grid During Islanded Mode by Load Shedding Scheme. ENERGYO 2018, 1 .
AMA StyleThabit Salim Nassor, Tomonobu Senjyu, Atsushi Yona. Enhancement of Voltage Stability of DC Smart Grid During Islanded Mode by Load Shedding Scheme. ENERGYO. 2018; ():1.
Chicago/Turabian StyleThabit Salim Nassor; Tomonobu Senjyu; Atsushi Yona. 2018. "Enhancement of Voltage Stability of DC Smart Grid During Islanded Mode by Load Shedding Scheme." ENERGYO , no. : 1.
Currently, there are several published reports on wind farms (WFs) for controlling output power by using pitch angle control. In addition, to reduce the adverse effects of frequency deviations, battery energy storage systems (BESSs) are introduced to small power systems. In this context, this paper presents a frequency control method by the WF and the BESS using load estimation. The load is estimated by a disturbance observer. The frequency deviations in low and high frequency domain are reduced by the WF using pitch angle control and battery charge/discharge, respectively. By using the proposed method, the reduction of the rated capacity of the BESS is possible. Furthermore, for the pitch angle control system of each WTG in the WF, generalized predictive control (GPC) is applied to achieve robust control performance. The effectiveness of the proposed method is verified by numerical simulation.
Akie Uehara; Tomonobu Senjyu; Atsushi Yona; Toshihisa Funabashi. A Frequency Control Method by Wind Farm & Battery using Load Estimation in Isolated Power System. ENERGYO 2018, 1 .
AMA StyleAkie Uehara, Tomonobu Senjyu, Atsushi Yona, Toshihisa Funabashi. A Frequency Control Method by Wind Farm & Battery using Load Estimation in Isolated Power System. ENERGYO. 2018; ():1.
Chicago/Turabian StyleAkie Uehara; Tomonobu Senjyu; Atsushi Yona; Toshihisa Funabashi. 2018. "A Frequency Control Method by Wind Farm & Battery using Load Estimation in Isolated Power System." ENERGYO , no. : 1.
Distributed generators (DG) and renewable energy sources have been attracting special attention in distribution systems in all over the world. Renewable energies, such as photovoltaic (PV) and wind turbine generators are considered as green energy. However, a large amount of DG penetration causes voltage deviation beyond the statutory range and reverse power flow at interconnection points in the distribution system. If excessive voltage deviation occurs, consumer’s electric devices might break and reverse power flow will also has a negative impact on the transmission system. Thus, mass interconnections of DGs has an adverse effect on both of the utility and the customer. Therefore, reactive power control method is proposed previous research by using inverters attached DGs for prevent voltage deviations. Moreover, battery energy storage system (BESS) is also proposed for resolve reverse power flow. In addition, it is possible to supply high quality power for managing DGs and BESSs. Therefore, this paper proposes a method to maintain voltage, active power, and reactive power flow at interconnection points by using cooperative controlled of PVs, house BESSs, EVs, large BESSs, and existing voltage control devices. This paper not only protect distribution system, but also attain distribution loss reduction and effectivity management of control devices. Therefore mentioned control objectives are formulated as an optimization problem that is solved by using the Particle Swarm Optimization (PSO) algorithm. Modified scheduling method is proposed in order to improve convergence probability of scheduling scheme. The effectiveness of the proposed method is verified by case studies results and by using numerical simulations in MATLAB®.
Ryuto Shigenobu; Ahmad Samim Noorzad; Cirio Muarapaz; Atsushi Yona; Tomonobu Senjyu. Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System. ENERGYO 2018, 1 .
AMA StyleRyuto Shigenobu, Ahmad Samim Noorzad, Cirio Muarapaz, Atsushi Yona, Tomonobu Senjyu. Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System. ENERGYO. 2018; ():1.
Chicago/Turabian StyleRyuto Shigenobu; Ahmad Samim Noorzad; Cirio Muarapaz; Atsushi Yona; Tomonobu Senjyu. 2018. "Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System." ENERGYO , no. : 1.
A blackout can take place in entire power system or a part of the system due to extreme voltage instability (voltage collapse) that can appear abruptly. Instability prediction and continuous monitoring of the power system performance is, therefore, known exigent. This paper is conducted with a broad overview of the voltage stability indices, which are previously studied in the literature, and have the same foundation during their formulation. Afterward, an improved voltage stability indicator is introduced as a result of the multi-criteria integration and enhancement of the original indices by employing linear algebra methods. It is found that the proposed algorithm can overcome on the probable limitations from calculating point view. Then comparative analysis of the indices is presented in order to reach a unique consensus about the typical techniques of modal analysis (sensitivity, eigenvalue, right eigenvectors, and bus participation factor) as a precise algorithm. Finally, the IEEE 14-bus, and 30-bus test systems are selected to verify the algorithm, and compare the performance of the improved indicator approach with the existing indices.
Mir Sayed Shah Danish; Atsushi Yona; Tomonobu Senjyu. A Review of Voltage Stability Assessment Techniques with an Improved Voltage Stability Indicator. ENERGYO 2018, 1 .
AMA StyleMir Sayed Shah Danish, Atsushi Yona, Tomonobu Senjyu. A Review of Voltage Stability Assessment Techniques with an Improved Voltage Stability Indicator. ENERGYO. 2018; ():1.
Chicago/Turabian StyleMir Sayed Shah Danish; Atsushi Yona; Tomonobu Senjyu. 2018. "A Review of Voltage Stability Assessment Techniques with an Improved Voltage Stability Indicator." ENERGYO , no. : 1.
Due to the concerns of global warming and the depletion of energy resources, renewable energies such as wind generation (WG) and photovoltaic generation (PV) are gaining attention in distribution systems. Efficient electric equipment such as heat pumps (HP) not only contribute low levels of carbon to society, but are also beneficial for consumers. In addition, gas instruments such as the gas engine (GE) and fuel cells (FC) are expected to reduce electricity cost by exhaust heat. Thus, it is important to clarify which systems (HP or GE) are more beneficial for consumers throughout the year. This paper compares the operational cost for the smart house between using the HP and the GE. Current electricity and gas prices are used to calculate the cost of the smart house. The system considered in this research comprises a PV, battery, solar collector (SC), uncontrolled load and either an HP or a GE. In order to verify the effectiveness of the proposed system, MATLAB is used for simulations.
Tsubasa Shimoji; Hayato Tahara; Hidehito Matayoshi; Atsushi Yona; Tomonobu Senjyu. Comparison and Validation of Operational Cost in Smart Houses with the Introduction of a Heat Pump or a Gas Engine. ENERGYO 2018, 1 .
AMA StyleTsubasa Shimoji, Hayato Tahara, Hidehito Matayoshi, Atsushi Yona, Tomonobu Senjyu. Comparison and Validation of Operational Cost in Smart Houses with the Introduction of a Heat Pump or a Gas Engine. ENERGYO. 2018; ():1.
Chicago/Turabian StyleTsubasa Shimoji; Hayato Tahara; Hidehito Matayoshi; Atsushi Yona; Tomonobu Senjyu. 2018. "Comparison and Validation of Operational Cost in Smart Houses with the Introduction of a Heat Pump or a Gas Engine." ENERGYO , no. : 1.
This paper deals with controlling the output power smoothing of a wind energy conversion systems (WECS) by using permanent magnet synchronous generator (PMSG). It uses the inertia control of the wind turbine and DC-link voltage control. The PMSG is connected to the grid through a generator-side converter and a grid-side inverter based on AC-DC-AC methods. The generatorside converter is used to control the torque of the PMSG while the grid-side inverter is used to control DC-Link voltage and grid voltage. Fuzzy logic is implemented to determine the torque command by using inertia of wind turbine. The inputs of the fuzzy logic are given by the operating point of the rotational speed of the PMSG and the difference between the wind turbine torque and the generator torque. From the proposed method, the generator torque is smoothed and kinetic energy generated by the inertia of the wind turbine is used to smooth the power fluctuations of PMSG. Also, a stable operation of WECS is achieved during the system fault by using the chopper circuit in the DC-link circuit. The output power smoothing is achieved with stability and low cost. The effectiveness of the proposed method is verified by the numerical simulations.
Alok Pratap; Abdul Motin Howlader; Tomonobu Senjyu; Atsushi Yona; Naomitsu Urasaki; Toshihisa Funabashi. Different Strategies for Controlling Output Power Smoothing of a PMSG-Based Wind Energy Conversion Systems. ENERGYO 2018, 1 .
AMA StyleAlok Pratap, Abdul Motin Howlader, Tomonobu Senjyu, Atsushi Yona, Naomitsu Urasaki, Toshihisa Funabashi. Different Strategies for Controlling Output Power Smoothing of a PMSG-Based Wind Energy Conversion Systems. ENERGYO. 2018; ():1.
Chicago/Turabian StyleAlok Pratap; Abdul Motin Howlader; Tomonobu Senjyu; Atsushi Yona; Naomitsu Urasaki; Toshihisa Funabashi. 2018. "Different Strategies for Controlling Output Power Smoothing of a PMSG-Based Wind Energy Conversion Systems." ENERGYO , no. : 1.
Mir Sayed Shah Danish; Tomonobu Senjyu; Najib Rahman Sabory; Sayed Mir Shah Danish; Gul Ahmad Ludin; Ahmad Samim Noorzad; Atsushi Yona. Afghanistan's aspirations for energy independence: Water resources and hydropower energy. Renewable Energy 2017, 113, 1276 -1287.
AMA StyleMir Sayed Shah Danish, Tomonobu Senjyu, Najib Rahman Sabory, Sayed Mir Shah Danish, Gul Ahmad Ludin, Ahmad Samim Noorzad, Atsushi Yona. Afghanistan's aspirations for energy independence: Water resources and hydropower energy. Renewable Energy. 2017; 113 ():1276-1287.
Chicago/Turabian StyleMir Sayed Shah Danish; Tomonobu Senjyu; Najib Rahman Sabory; Sayed Mir Shah Danish; Gul Ahmad Ludin; Ahmad Samim Noorzad; Atsushi Yona. 2017. "Afghanistan's aspirations for energy independence: Water resources and hydropower energy." Renewable Energy 113, no. : 1276-1287.