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This article proposes a plan to replace real-time power with constant power from the grid to reduce costs and reduce the impact of the micro-grid on the main grid at the same time. Most of the peak electricity consumption periods of universities or some enterprise institutions are during the daytime. If solar energy can be used reasonably at this time, it can provide a good guarantee of peak power. In this study, a grid-linked solar-plus-storage micro-grid was used to supply power to a university located in Okinawa, Japan. The non-dominated sorting genetic algorithm II (NSGA-II) was used to optimize the model size, and the loss of power supply probability (LPSP), life cycle cost (LCC), and waste of energy (WE) were taken as the optimization indicators. For this study, three scenarios were considered where the first scheme (Case 1) was a comparison scheme, which used a PV battery and real-time power from the infinity bus. Both the second and third cases used constant power. While Case 2 used constant power throughout the year, Case 3 used daily constant power. The optimal solutions for the power supply units were grouped into three cases where Case 1 was found to be the most expensive one. It was found that the costs of Cases 2 and 3 were 62.8% and 63.3% less than Case 1. As a result, the waste of energy was found to be more significant than Case 1: 70 times and 60 times, respectively. On the contrary, Case 1 had 15.2% and 16.7% less carbon emissions than Case 2 and Case 3, respectively. This article put forward the idea of constant power supply growth at the financial markets, which breaks the traditional way in which the power supply side follows the user’s consumption. While reducing costs, it reduces the impact on large-scale power grids and can also ensure the reliability of campus microgrids.
Yongyi Huang; Hasan Masrur; Ryuto Shigenobu; Ashraf Hemeida; Alexey Mikhaylov; Tomonobu Senjyu. A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach. Energies 2021, 14, 2853 .
AMA StyleYongyi Huang, Hasan Masrur, Ryuto Shigenobu, Ashraf Hemeida, Alexey Mikhaylov, Tomonobu Senjyu. A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach. Energies. 2021; 14 (11):2853.
Chicago/Turabian StyleYongyi Huang; Hasan Masrur; Ryuto Shigenobu; Ashraf Hemeida; Alexey Mikhaylov; Tomonobu Senjyu. 2021. "A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach." Energies 14, no. 11: 2853.
This paper presents a compensation method for unbalanced voltage through active and reactive power control by utilizing a smart inverter that improves the voltage unbalance index and detects an unbalanced state of voltage magnitude and phase, and thus enhances power quality by minimizing the voltage imbalance. First of all, this paper presents an analysis of a mathematical approach, which demonstrates that the conventional voltage unbalanced factor (VUF) using the symmetrical component cannot correctly detect the imbalanced state from index equations; and by only minimizing the VUF value, it cannot establish a balanced condition for an unbalanced state of the voltage profile. This paper further discusses that intermittent photovoltaic (PV) output power and diversified load demand lead to an unexpected voltage imbalance. Therefore, considering the complexity of unbalanced voltage conditions, a specific load and an PV profile were extracted from big data and applied to the distribution system model. The effectiveness of the proposed scheme was verified by comparing VUF indices and controlling the active and reactive power of a smart inverter through a numerical simulation.
Ryuto Shigenobu; Akito Nakadomari; Ying-Yi Hong; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. Optimization of Voltage Unbalance Compensation by Smart Inverter. Energies 2020, 13, 4623 .
AMA StyleRyuto Shigenobu, Akito Nakadomari, Ying-Yi Hong, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu. Optimization of Voltage Unbalance Compensation by Smart Inverter. Energies. 2020; 13 (18):4623.
Chicago/Turabian StyleRyuto Shigenobu; Akito Nakadomari; Ying-Yi Hong; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. 2020. "Optimization of Voltage Unbalance Compensation by Smart Inverter." Energies 13, no. 18: 4623.
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.
A number of studies realized operation of power systems are unstable in developing countries due to misconfiguration of distribution systems, limited power transfer capability, inconsistency of renewable resources integration, paucity of control and protection measures, timeworn technologies, and disproportionately topology. This study underlines an Afghanistan case study with 40% power losses that is mainly pertinent from old distribution systems. The long length of distribution systems, low-power transfer capability, insufficient control and protection strategy, peak-demand elimination, and unstable operation (low energy quality and excessive voltage deviations) are perceived pre-eminent challenges of Afghanistan distribution systems. Some attainable solutions that fit challenges are remodeling (network reduction), networks reinforcement, optimum compensation strategy, reconfiguration options, improving, and transfer capability. This paper attempts to propose a viable solution using multiobjective optimization method of auto-tap-changer pole transformer (ATCTr). The proposed methodology in terms of optimal numbers and placement of ATCTr can be known as a novel two-dimensional solution. For this purpose, a real case of Kabul City distribution system is evaluated. Simulation results indicate the effectiveness of the proposed method in reducing system losses and improving system overall performance. This approach tends to regulate the voltage deviation in a proper and statutory range with minimum number and optimum placement of ATCTrs. The proposed method is simulated using MATLAB® environment to compare and evaluate performance of the proposed network under different situations and scenarios.
Sayed Mir Shah Danish; Ryuto Shigenobu; Mitsunaga Kinjo; Paras Mandal; Narayanan Krishna; Ashraf Mohamed Hemeida; Tomonobu Senjyu. A Real Distribution Network Voltage Regulation Incorporating Auto-Tap-Changer Pole Transformer Multiobjective Optimization. Applied Sciences 2019, 9, 2813 .
AMA StyleSayed Mir Shah Danish, Ryuto Shigenobu, Mitsunaga Kinjo, Paras Mandal, Narayanan Krishna, Ashraf Mohamed Hemeida, Tomonobu Senjyu. A Real Distribution Network Voltage Regulation Incorporating Auto-Tap-Changer Pole Transformer Multiobjective Optimization. Applied Sciences. 2019; 9 (14):2813.
Chicago/Turabian StyleSayed Mir Shah Danish; Ryuto Shigenobu; Mitsunaga Kinjo; Paras Mandal; Narayanan Krishna; Ashraf Mohamed Hemeida; Tomonobu Senjyu. 2019. "A Real Distribution Network Voltage Regulation Incorporating Auto-Tap-Changer Pole Transformer Multiobjective Optimization." Applied Sciences 9, no. 14: 2813.
Power sector, as one of the least progressed division, is limiting the socioeconomic development in Afghanistan. Although the country has a vast solar energy potential with a bright prospect for growth, however inadequate endorsement and attention have prevented its proper use. Meanwhile, Kabul the capital city and one of the fastest growing cities in the world, is suffering severe challenges to supply its energy needs. Presently, Kabul electrical system is subjected to insecure and insufficient supply due to the lack of integrated networks and deployment of Renewable Energy (RE) sources. This research investigates an appropriate approach by introducing two Linear Fresnel Reflector (LFR) plants with a total capacity of 120 MW to overcome the present challenges in Kabul city. The proposed LFR units are incorporated with an energy storage system of full capacity production for five hours to cover the power shortage at night. The design aspect of LFR is specified by using of System Adviser Model (SAM). Levelized Cost of Electricity (LCOE) and the total annual output of the proposed LFR units are estimated as 0.2508$/kWh and 294,657.28 kWh respectively. To minimize the total operating costs of the integrated model and mitigate CO2 emissions, an optimal Unit Commitment is (UC) fulfilled as well. UC is accomplished by using MATLAB INTLINPROG optimization toolbox.
Abdul Matin Ibrahimi; Harun Or Rashid Howlader; Mir Sayed Shah Danish; Ryuto Shigenobu; Mohammad Masih Sediqi; Tomonobu Senjyu. Optimal Unit Commitment with Concentrated Solar Power and Thermal Energy Storage in Afghanistan Electrical System. International Journal of Emerging Electric Power Systems 2019, 20, 1 .
AMA StyleAbdul Matin Ibrahimi, Harun Or Rashid Howlader, Mir Sayed Shah Danish, Ryuto Shigenobu, Mohammad Masih Sediqi, Tomonobu Senjyu. Optimal Unit Commitment with Concentrated Solar Power and Thermal Energy Storage in Afghanistan Electrical System. International Journal of Emerging Electric Power Systems. 2019; 20 (3):1.
Chicago/Turabian StyleAbdul Matin Ibrahimi; Harun Or Rashid Howlader; Mir Sayed Shah Danish; Ryuto Shigenobu; Mohammad Masih Sediqi; Tomonobu Senjyu. 2019. "Optimal Unit Commitment with Concentrated Solar Power and Thermal Energy Storage in Afghanistan Electrical System." International Journal of Emerging Electric Power Systems 20, no. 3: 1.
The rapid growth of renewable energies specifically wind and solar with their intermittent phenomena has recently become an exciting and important topic among researchers worldwide. The integration of such devices in distribution networks comprising of battery energy storage systems (BESSs) is considered as efficient and complementation approach which their well-managed configuration and scheduling via optimal arrangement yield not only productive and reliable power delivery to end-users, but cost-saving opportunity for utility managers. When dealing with photovoltaic (PV), reactive power capability of PV inverter is another aspect of interest that can contribute in enhancing effective penetration of wind, solar, and storage system into distribution networks. In this paper, a robust and novel optimization technique epsilon multiobjective genetic algorithm $\epsilon$ -MOGA is proposed and applied to a real 162-bus distribution network. A three-objective function optimization encompassing environmental, technical, and economic aspect is developed to size the centralized wind-farm and BESS parameters, distributed rooftop PV, and PV inverter reactive power control in an optimal manner. The proposed arrangement is simulated in MATLAB and compared with several cases to show its superior implementation concerning carbon emission reduction, better technical aspect, annual saving, and grid power alleviation.
Mikaeel Ahmadi; Mohammed E. Lotfy; Ryuto Shigenobu; Abdul Motin Howlader; Tomonobu Senjyu. Optimal Sizing of Multiple Renewable Energy Resources and PV Inverter Reactive Power Control Encompassing Environmental, Technical, and Economic Issues. IEEE Systems Journal 2019, 13, 3026 -3037.
AMA StyleMikaeel Ahmadi, Mohammed E. Lotfy, Ryuto Shigenobu, Abdul Motin Howlader, Tomonobu Senjyu. Optimal Sizing of Multiple Renewable Energy Resources and PV Inverter Reactive Power Control Encompassing Environmental, Technical, and Economic Issues. IEEE Systems Journal. 2019; 13 (3):3026-3037.
Chicago/Turabian StyleMikaeel Ahmadi; Mohammed E. Lotfy; Ryuto Shigenobu; Abdul Motin Howlader; Tomonobu Senjyu. 2019. "Optimal Sizing of Multiple Renewable Energy Resources and PV Inverter Reactive Power Control Encompassing Environmental, Technical, and Economic Issues." IEEE Systems Journal 13, no. 3: 3026-3037.
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.
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 StyleDavid 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 StyleDavid 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.
In recent years, much attention has been paid to Demand Response (DR) from the viewpoint of protecting the environment. The fluctuations in supply and demand are increased by the introduction of DR, which is not considered in most previous studies. The unit commitment that corresponds to the uncertainty of load demand and the operational maintaining the spinning reserves can be achieved by the proposed method in this paper. In this research, DR prediction for electricity prices was performed using a neural network.
Hiroki Aoyagi; Shantanu Chakraborty; Paras Mandal; Ryuto Shigenobu; Abdul Conteh; Tomonobu Senjyu. Unit Commitment Considering Uncertainty of Price-Based Demand Response. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2018, 406 -410.
AMA StyleHiroki Aoyagi, Shantanu Chakraborty, Paras Mandal, Ryuto Shigenobu, Abdul Conteh, Tomonobu Senjyu. Unit Commitment Considering Uncertainty of Price-Based Demand Response. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). 2018; ():406-410.
Chicago/Turabian StyleHiroki Aoyagi; Shantanu Chakraborty; Paras Mandal; Ryuto Shigenobu; Abdul Conteh; Tomonobu Senjyu. 2018. "Unit Commitment Considering Uncertainty of Price-Based Demand Response." 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) , no. : 406-410.
In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.
Ryuto Shigenobu; Mitsunaga Kinjo; Paras Mandal; Abdul Motin Howlader; Tomonobu Senjyu. Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive. Applied Sciences 2018, 8, 1411 .
AMA StyleRyuto Shigenobu, Mitsunaga Kinjo, Paras Mandal, Abdul Motin Howlader, Tomonobu Senjyu. Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive. Applied Sciences. 2018; 8 (8):1411.
Chicago/Turabian StyleRyuto Shigenobu; Mitsunaga Kinjo; Paras Mandal; Abdul Motin Howlader; Tomonobu Senjyu. 2018. "Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive." Applied Sciences 8, no. 8: 1411.
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.
This study proposes the application of combinatorial multi-objective optimisation (MOO) in an electrical power distribution system. Conventional electrical power systems do not consider reverse power flow, in which the power flows toward the feeder in the distribution system. However, reverse power flow toward the substation transformer is caused by voltage deviation with high penetration of distributed generators into a distribution system. Consequently, this causes faults in electric devices and may even lead to a massive blackout. To resolve voltage deviation problems, it is necessary to consider some trade-offs. With this background, this study reveals three points. The first and second contributions regard general engineering research issues such as the definition of a new optimisation problem framework. To solve the problems discussed in this study, a new method of MOO was required. This method of MOO is applied to the power system to minimise voltage deviation while simultaneously minimising the number of required voltage control devices and operation. In addition, a new MOO method to determine the optimal placement of control devices while retaining operation diversity is proposed. Finally, each optimisation method is compared with numerical simulation and the advantages are summarised from the simulation results.
Ryuto Shigenobu; Ahmad Samim Noorzad; Atsushi Yona; Tomonobu Senjyu. Multi‐objective optimisation of step voltage regulator operation and optimal placement for distribution systems design using linkage combination update‐non‐dominated sorting genetic algorithm‐II. IET Generation, Transmission & Distribution 2017, 12, 20 -30.
AMA StyleRyuto Shigenobu, Ahmad Samim Noorzad, Atsushi Yona, Tomonobu Senjyu. Multi‐objective optimisation of step voltage regulator operation and optimal placement for distribution systems design using linkage combination update‐non‐dominated sorting genetic algorithm‐II. IET Generation, Transmission & Distribution. 2017; 12 (1):20-30.
Chicago/Turabian StyleRyuto Shigenobu; Ahmad Samim Noorzad; Atsushi Yona; Tomonobu Senjyu. 2017. "Multi‐objective optimisation of step voltage regulator operation and optimal placement for distribution systems design using linkage combination update‐non‐dominated sorting genetic algorithm‐II." IET Generation, Transmission & Distribution 12, no. 1: 20-30.
Renewable energy resources (RERs) such as wind and solar are said to be considerable promising of the power system worldwide, and Afghanistan is evaluated for abundant and feasible electricity generation capacity from these resources. It fortifies merging of RER to the electric power system of Afghanistan where power quality issue sums up with scheduled and unscheduled load shedding due to the shortage of electricity. This research study presents an optimal solution comprising of rooftop solar photovoltaic (PV) as distributed generation to a real and substantial 162-bus electric distribution network (EDN) in Kabul, the capital of Afghanistan. Genetic algorithm (GA) based on Newton–Raphson power flow with the objective of power loss minimisation is put forward for sizing and placement of the solar PV at practically available locations or candidate buses of the network. This approach tends to reduce the dependency on the import power and at the same time improves the performance of the current system through minimisation of the total power loss and voltage deviation. The proposed method is simulated by MATLAB® software to compare and demonstrate the performance of the system under different scenarios of the PV allocations.
Mikaeel Ahmadi; Mohammed Lotfy; Ryuto Shigenobu; Atsushi Yona; Tomonobu Senjyu. Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network. IET Generation, Transmission & Distribution 2017, 12, 303 -309.
AMA StyleMikaeel Ahmadi, Mohammed Lotfy, Ryuto Shigenobu, Atsushi Yona, Tomonobu Senjyu. Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network. IET Generation, Transmission & Distribution. 2017; 12 (2):303-309.
Chicago/Turabian StyleMikaeel Ahmadi; Mohammed Lotfy; Ryuto Shigenobu; Atsushi Yona; Tomonobu Senjyu. 2017. "Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network." IET Generation, Transmission & Distribution 12, no. 2: 303-309.
Reducing carbon dioxide emissions is an important issue for protection of the global environment. To achieve this, the spread of photovoltaic generation (PV) has expanded since the start of Feed-in Tariff (FIT) in Japan. However, it is difficult to introduce new renewable energy generation because of restrictions on grid interconnection. This is due to the concerns of voltage deviation, reverse power flow and frequency perturbations. Therefore, an off-grid smart house system is proposed in this study. In off-grid mode, there is little restriction on the high penetration of PV into the distribution system. This paper considers the operation of a smart house and introduced a model for capacity sizing of PV and fixed battery in the smart house. Vehicle to Home (V2H) by operation of electric vehicle (EV) is also considered. In order to evaluate the capacity and operation, the smart house model is formulated as a multi-objective optimization problem (MOOP) and compromised solution is compared for different case studies.
Ryuto Shigenobu; Oludamilare Bode Adewuyi; Tomonobu Senjyu. A multi-objective optimal sizing and operation for off-grid smart house. TENCON 2017 - 2017 IEEE Region 10 Conference 2017, 2198 -2203.
AMA StyleRyuto Shigenobu, Oludamilare Bode Adewuyi, Tomonobu Senjyu. A multi-objective optimal sizing and operation for off-grid smart house. TENCON 2017 - 2017 IEEE Region 10 Conference. 2017; ():2198-2203.
Chicago/Turabian StyleRyuto Shigenobu; Oludamilare Bode Adewuyi; Tomonobu Senjyu. 2017. "A multi-objective optimal sizing and operation for off-grid smart house." TENCON 2017 - 2017 IEEE Region 10 Conference , no. : 2198-2203.
In the future, the limit of power transmission handling capability of power systems will be violated due to the pursuit of economic benefit and increase penetration of renewable energy resources. Hence, the likelihood of voltage instability and system's risk of experiencing voltage collapse has increased. The voltage stability analysis remains a major concern in the operation of modern power systems. So far, the voltage stability analysis has been carried out using various methods. In this study, we propose a method to improve the voltage stability of power system by applying demand response, DR to control the active power of each load bus based on the voltage stability index. The approach showed credible Voltage stability improvement of all the transmission lines in the power system, thereby maximizing the capacity of the available transmission lines. We have also been able to achieve cooperative control of the power system between the customer and the distribution company by applying the DR at each load bus, with each load bus representing individual customer.
Mitsuki Sagara; Ryuto Shigenobu; Oludamilare Bode Adewuyi; Atsushi Yona; Tomonobu Senjyu; Mir Sayed Shah Danish; Toshihisa Funabashi. Voltage stability improvement by demand response. TENCON 2017 - 2017 IEEE Region 10 Conference 2017, 2144 -2149.
AMA StyleMitsuki Sagara, Ryuto Shigenobu, Oludamilare Bode Adewuyi, Atsushi Yona, Tomonobu Senjyu, Mir Sayed Shah Danish, Toshihisa Funabashi. Voltage stability improvement by demand response. TENCON 2017 - 2017 IEEE Region 10 Conference. 2017; ():2144-2149.
Chicago/Turabian StyleMitsuki Sagara; Ryuto Shigenobu; Oludamilare Bode Adewuyi; Atsushi Yona; Tomonobu Senjyu; Mir Sayed Shah Danish; Toshihisa Funabashi. 2017. "Voltage stability improvement by demand response." TENCON 2017 - 2017 IEEE Region 10 Conference , no. : 2144-2149.
Ryuto Shigenobu; Atsushi Yona; Tomonobu Senjyu. Demand response considering participation rate in smart grid: Two level optimal management for DisCo and customers. 2017 17th International Conference on Control, Automation and Systems (ICCAS) 2017, 803 -808.
AMA StyleRyuto Shigenobu, Atsushi Yona, Tomonobu Senjyu. Demand response considering participation rate in smart grid: Two level optimal management for DisCo and customers. 2017 17th International Conference on Control, Automation and Systems (ICCAS). 2017; ():803-808.
Chicago/Turabian StyleRyuto Shigenobu; Atsushi Yona; Tomonobu Senjyu. 2017. "Demand response considering participation rate in smart grid: Two level optimal management for DisCo and customers." 2017 17th International Conference on Control, Automation and Systems (ICCAS) , no. : 803-808.
Distributed generation based on renewable energy sources (RES) continues to increase in electric power system penetration. In order to mitigate stability issues caused by high penetration of these weather-dependent systems, some type of control is necessary. This paper proposes a coordinated control methodology for loads which can be used to suppress perturbations caused by DGs in high-voltage transmission systems. Battery systems and heat pump water heaters are used as controllable loads with decentralized and autonomous control techniques in order to mitigate problems caused by high penetration of RES based distributed generators. The effectiveness of the proposed control system is validated by simulation results in MATLAB/Simulink™.
Michael Palmer; Ryuto Shigenobu. Suppression of voltage and frequency fluctuations by PID+DD and decentralized control in transmission systems. 2016 IEEE Region 10 Conference (TENCON) 2017, 2919 -2924.
AMA StyleMichael Palmer, Ryuto Shigenobu. Suppression of voltage and frequency fluctuations by PID+DD and decentralized control in transmission systems. 2016 IEEE Region 10 Conference (TENCON). 2017; ():2919-2924.
Chicago/Turabian StyleMichael Palmer; Ryuto Shigenobu. 2017. "Suppression of voltage and frequency fluctuations by PID+DD and decentralized control in transmission systems." 2016 IEEE Region 10 Conference (TENCON) , no. : 2919-2924.
This paper proposes a new optimization method for distribution system, that method includes combinational problem (CP) as factor in multi-objective optimization problem (MOOP). Increasing load demands and deep penetration of distributed generators (DGs) using renewable energy sources (RESs) has been a cause of concern to protect the smart grid. System. As a t, it causes voltage deviation and reverses power flow. In order to solve these problem, protection devices have to be installed in distribution system. However, it is necessary to consider multi objects to realize safety system, generally these objects are also conflicting with each other. Moreover, it is also important problem to calculate operating cost and finding optimal placement of control devices. This proposed method provides an application for distribution system.
Ryuto Shigenobu; Masahiro Furukakoi; Atsushi Yona; Tomonobu Senjyu. New optimization method considering combinatorial and multi-objective optimization problem for distribution systems. 2016 IEEE Region 10 Conference (TENCON) 2017, 2656 -2661.
AMA StyleRyuto Shigenobu, Masahiro Furukakoi, Atsushi Yona, Tomonobu Senjyu. New optimization method considering combinatorial and multi-objective optimization problem for distribution systems. 2016 IEEE Region 10 Conference (TENCON). 2017; ():2656-2661.
Chicago/Turabian StyleRyuto Shigenobu; Masahiro Furukakoi; Atsushi Yona; Tomonobu Senjyu. 2017. "New optimization method considering combinatorial and multi-objective optimization problem for distribution systems." 2016 IEEE Region 10 Conference (TENCON) , no. : 2656-2661.
Due to the liberalization of electric power market, many power producers are entering into the power market. Most of electric power company have been introduced renewable energies that might increase the power system uncertainty. Therefore, it is expected that rise might the likelihood of voltage instability and voltage collapse. In addition, fluctuations in supply and demand are increased by the introduction of a renewable energies. However, by using the Energy storage systems (ESS), the power fluctuations can be reduced. On account of this, we suggest the optimal operation method of the generator and the ESS by considering the voltage stability in this paper. The effectiveness of the proposed method is verified by simulation results in the Matlab/simulink.
Masahiro Furukakoi; Harun Or Rashid Howlader; Ryuto Shigenobu; Tomonobu Senjyu. Multi-Objective Optimal Operation for Transmission Systems Considering Voltage Stability. International Journal of Emerging Electric Power Systems 2017, 18, 1 .
AMA StyleMasahiro Furukakoi, Harun Or Rashid Howlader, Ryuto Shigenobu, Tomonobu Senjyu. Multi-Objective Optimal Operation for Transmission Systems Considering Voltage Stability. International Journal of Emerging Electric Power Systems. 2017; 18 (1):1.
Chicago/Turabian StyleMasahiro Furukakoi; Harun Or Rashid Howlader; Ryuto Shigenobu; Tomonobu Senjyu. 2017. "Multi-Objective Optimal Operation for Transmission Systems Considering Voltage Stability." International Journal of Emerging Electric Power Systems 18, no. 1: 1.
Japan contains a vast number of isolated islands. Majority of these islands are poweredby diesel generators (DGs), which are operationally not economical. Therefore, the introduction of renewableenergy systems (RESs) into these area is very much vital. However, the variability of RESs asa result of weather condition as well as load demand , battery energy storage system (BESS) is broughtinto play. Demand response (DR) programs have also been so attractive in the energy management systemsfor the past decades. Among them, the real-time pricing (RTP) has been one of the most effectivedemand response program being utilized. This program encourages the customer to increase or reducethe load consumption by varying the electricity price. Also, due to the increase in power transactionmarket, Japan electric power exchange (JEPX) has established spot (day-ahead), intraday hour-ahead,and forward market programs. This paper utilizes day-ahead and hour-ahead markets, since these marketscan make it possible to deal with uncertainty related to generated power fluctuations. Therefore,this paper presents the optimal operation method coping with the uncertainties of RESs in multi-areasmall power systems. The proposed method enables flexibility to correspond to the forecasting error byproviding two kinds of power markets among multi-area small power systems and trading the shortageand surplus powers. Furthermore, it accomplishes a stable power supply and demand by RTP. Thus, theproposed method was able to reduce operational cost for multi-area small power systems. The processof creating operational plan for RTP, power trading at the markets and the unit commitment of DGs arealso presented in this paper. Simulation results corroborate the merit of the proposed program
Shota Tobaru; Ryuto Shigenobu; Foday Conteh; Naomitsu Urasaki; Abdul Motin Howlader; Tomonobu Senjyu; Toshihisa Funabashi. Optimal operation method coping with uncertainty in multi-area small power systems. AIMS Energy 2017, 5, 718 -734.
AMA StyleShota Tobaru, Ryuto Shigenobu, Foday Conteh, Naomitsu Urasaki, Abdul Motin Howlader, Tomonobu Senjyu, Toshihisa Funabashi. Optimal operation method coping with uncertainty in multi-area small power systems. AIMS Energy. 2017; 5 (4):718-734.
Chicago/Turabian StyleShota Tobaru; Ryuto Shigenobu; Foday Conteh; Naomitsu Urasaki; Abdul Motin Howlader; Tomonobu Senjyu; Toshihisa Funabashi. 2017. "Optimal operation method coping with uncertainty in multi-area small power systems." AIMS Energy 5, no. 4: 718-734.
High penetration of distributed generators (DGs) using renewable energy sources (RESs) is raising some important issues in the operation of modern power system. The output power of RESs fluctuates very steeply, and that include uncertainty with weather conditions. This situation causes voltage deviation and reverse power flow. Several methods have been proposed for solving these problems. Fundamentally, these methods involve reactive power control for voltage deviation and/or the installation of large battery energy storage system (BESS) at the interconnection point for reverse power flow. In order to reduce the installation cost of static var compensator (SVC), Distribution Company (DisCo) gives reactive power incentive to the cooperating customers. On the other hand, photovoltaic (PV) generator, energy storage and electric vehicle (EV) are introduced in customer side with the aim of achieving zero net energy homes (ZEHs). This paper proposes not only reactive power control but also active power flow control using house BESS and EV. Moreover, incentive method is proposed to promote participation of customers in the control operation. Demand response (DR) system is verified with several DR menu. To create profit for both side of DisCo and customer, two level optimization approach is executed in this research. Mathematical modeling of price elasticity and detailed simulations are executed by case study. The effectiveness of the proposed incentive menu is demonstrated by using heuristic optimization method
Ryuto Shigenobu; Oludamilare Bode Adewuyi; Atsushi Yona; Tomonobu Senjyu. Demand response strategy management with active and reactive power incentive in the smart grid: a two-level optimization approach. AIMS Energy 2017, 5, 482 -505.
AMA StyleRyuto Shigenobu, Oludamilare Bode Adewuyi, Atsushi Yona, Tomonobu Senjyu. Demand response strategy management with active and reactive power incentive in the smart grid: a two-level optimization approach. AIMS Energy. 2017; 5 (3):482-505.
Chicago/Turabian StyleRyuto Shigenobu; Oludamilare Bode Adewuyi; Atsushi Yona; Tomonobu Senjyu. 2017. "Demand response strategy management with active and reactive power incentive in the smart grid: a two-level optimization approach." AIMS Energy 5, no. 3: 482-505.