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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.
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 StyleMakoto 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 StyleMakoto 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.
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.
Electric power systems are prone to several threats. However, some potential threats e.g., extreme weather or natural disasters, are unavoidable and this can affect socio-economic activities, energy security, and also quality of life. Hence, improving the electric power grid resilience in order to reduce the impact from natural disasters has to be thoroughly studied and understood. This paper presents the challenges and advantages of having sections of a power distribution system constituted by networked microgrids (MGs) to efficiently manage distributed energy resources (DERs), in particular roof-top solar photovoltaic and battery energy storage systems, in order to improve the power distribution system resilience to natural disasters. In this regard, this paper provides a detailed resilience analysis process considering two major case studies, moderate damage and heavy damage, which are tested under different scenarios and levels of disruption, that are evaluated utilizing various resilience metrics. Test results indicate that networked MGs incorporating DERs show the potential to provide support to the power distribution system by scheduling the discharge of battery energy storage systems during outages and improve the resilience of the distribution grid to natural disasters.
Eric Galvan; Paras Mandal; Yuanrui Sang. Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters. International Journal of Electrical Power & Energy Systems 2020, 123, 106239 .
AMA StyleEric Galvan, Paras Mandal, Yuanrui Sang. Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters. International Journal of Electrical Power & Energy Systems. 2020; 123 ():106239.
Chicago/Turabian StyleEric Galvan; Paras Mandal; Yuanrui Sang. 2020. "Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters." International Journal of Electrical Power & Energy Systems 123, no. : 106239.
Electricity disparity in sub-Saharan Africa is a multi-dimensional challenge that has significant implications on the current socio-economic predicament of the region. Strategic implementation of demand response (DR) programs and renewable energy (RE) integration can provide efficient solutions with several benefits such as peak load reduction, grid congestion mitigation, load profile modification, and greenhouse gas emissions reduction. In this research, an incentive and price-based DR programs model using the price elasticity concepts is proposed. Economic analysis of the customer benefit, utility revenue, load factor, and load profile modification are optimally carried out using Freetown (Sierra Leone) peak load demand. The strategic selection index is employed to prioritize relevant DR programs that are techno-economically beneficial for the independent power producers (IPPs) and participating customers. Moreover, optimally designed hybridized grid-connected RE was incorporated using the Genetic Algorithm (GA) to meet the deficit after DR implementation. GA is used to get the optimal solution in terms of the required PV area and the number of BESS to match the net load demand after implementing the DR schemes. The results show credible enhancement in the load profile in terms of peak period reduction as measured using the effective load factor. Moreover, customer benefit and utility revenues are significantly improved using the proposed approach. Furthermore, the inclusion of the hybrid RE supply proves to be an efficient approach to meet the load demand during low peak and valley periods and can also mitigate greenhouse gas emissions.
Abdul Conteh; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets. Sustainability 2020, 12, 2653 .
AMA StyleAbdul Conteh, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu. Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets. Sustainability. 2020; 12 (7):2653.
Chicago/Turabian StyleAbdul Conteh; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. 2020. "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets." Sustainability 12, no. 7: 2653.
Within the framework of this study, the inductive analysis of voltage stability indices’ theoretical formulation, functionality, and overall performances are introduced. The prominence is given to investigate and compare the original indices from three main dimensions (formulation, assessment, and application) standpoints, which have been frequently used and recently attracted. The generalizability of an exhaustive investigation on comparison of voltage stability indices seems problematic due to the multiplicity of the indices, and more importantly, their variety in theoretical foundation and performances. This study purports the first-ever framework for voltage stability indices classification for power system analysis. The test results found that indices in the same category are coherent to their theoretical foundation. The paper highlights the fact that each category of the indices is functional for a particular application irrespective of the drawback ranking, and negated the application of the Jacobian matrix-based indices for online application. Finally, the research efforts put forward a novel classification of voltage stability indices within the main three aspects of formulation, assessment, and behavior analysis in a synergistic manner as an exhaustive reference for students, researchers, scholars, and practitioners related to voltage stability analysis. The simulation tools used were MATLAB® and PowerWorld®.
Hameedullah Zaheb; Mir Sayed Shah Danish; Tomonobu Senjyu; Mikaeel Ahmadi; Abdul Malik Nazari; Mohebullah Wali; Mahdi Khosravy; Paras Mandal. A Contemporary Novel Classification of Voltage Stability Indices. Applied Sciences 2020, 10, 1639 .
AMA StyleHameedullah Zaheb, Mir Sayed Shah Danish, Tomonobu Senjyu, Mikaeel Ahmadi, Abdul Malik Nazari, Mohebullah Wali, Mahdi Khosravy, Paras Mandal. A Contemporary Novel Classification of Voltage Stability Indices. Applied Sciences. 2020; 10 (5):1639.
Chicago/Turabian StyleHameedullah Zaheb; Mir Sayed Shah Danish; Tomonobu Senjyu; Mikaeel Ahmadi; Abdul Malik Nazari; Mohebullah Wali; Mahdi Khosravy; Paras Mandal. 2020. "A Contemporary Novel Classification of Voltage Stability Indices." Applied Sciences 10, no. 5: 1639.
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.
Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.
Harun Or Rashid Howlader; Oludamilare Bode Adewuyi; Ying-Yi Hong; Paras Mandal; Ashraf Mohamed Hemeida; Tomonobu Senjyu. Energy Storage System Analysis Review for Optimal Unit Commitment. Energies 2019, 13, 158 .
AMA StyleHarun Or Rashid Howlader, Oludamilare Bode Adewuyi, Ying-Yi Hong, Paras Mandal, Ashraf Mohamed Hemeida, Tomonobu Senjyu. Energy Storage System Analysis Review for Optimal Unit Commitment. Energies. 2019; 13 (1):158.
Chicago/Turabian StyleHarun Or Rashid Howlader; Oludamilare Bode Adewuyi; Ying-Yi Hong; Paras Mandal; Ashraf Mohamed Hemeida; Tomonobu Senjyu. 2019. "Energy Storage System Analysis Review for Optimal Unit Commitment." Energies 13, no. 1: 158.
Modern utilities are forced to operate very close to their loadable limits (maximum capacity) due to geographical, economical and some technical reasons. The deregulation of the power industry, the competitive nature of modern electricity markets and the continuous quest for modernization of cities and hamlets all over the world has also led to fast increase in the load demand. The stability of power systems all over the world are threatened with recurrent occurrences of voltage stability issues. Hence, Inter-zonal energy transactions between willing supplier and buyers need to be done with adequate consideration for power system security. In this work, a voltage security-constrained optimal generator active and reactive power rescheduling is carried out using the IEEE 30 and IEEE 57 bus systems. The simultaneous maximization of available transfer capacity (ATC) and voltage stability margin (VSM), using the weighted sum approach, is the objective function. Credible optimal power flow and power system security constraints are considered. Three variants of particle swarm optimization in MATLAB® are used in this work for analyzing the results for objectivity. The technical and economic benefits of the optimal generator rescheduling on the system’s ATC, VSM, line losses, line flow and voltage profile are adequately analyzed.
Oludamilare Bode Adewuyi; Mikaeel Ahmadi; Isaiah Opeyemi Olaniyi; Tomonobu Senjyu; Temitayo Olayemi Olowu; Paras Mandal. Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets. Energies 2019, 12, 4371 .
AMA StyleOludamilare Bode Adewuyi, Mikaeel Ahmadi, Isaiah Opeyemi Olaniyi, Tomonobu Senjyu, Temitayo Olayemi Olowu, Paras Mandal. Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets. Energies. 2019; 12 (22):4371.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Mikaeel Ahmadi; Isaiah Opeyemi Olaniyi; Tomonobu Senjyu; Temitayo Olayemi Olowu; Paras Mandal. 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets." Energies 12, no. 22: 4371.
With the development of distributed energy resources (DERs) and advancements in technology, microgrids (MGs) appear primed to become an even more integral part of the future distribution grid. In order to transition to the smart grid of the future, MGs must be properly managed and controlled. This paper proposes a microgrid energy management system (MGEMS) based on a hybrid control algorithm that combines Transactive Control (TC) and Model Predictive Control (MPC) for an efficient management of DERs in prosumer-centric networked MGs. A locally installed home energy management system (HEMS) determines a charge schedule for the battery electric vehicle (BEV) and a charge–discharge schedule for the solar photovoltaic (PV) and battery energy storage system (BESS) to reduce residential customers’ operation cost and to improve their overall savings. The proposed networked MGEMS strategy was implemented in IEEE 33-bus test system and evaluated under different BEV and PV-BESS penetration scenarios to study the potential impact that large amounts of BEV and PV-BESS systems can have on the distribution system and how different pricing mechanisms can mitigate these impacts. Test results indicate that our proposed MGEMS strategy shows potential to reduce peak load and power losses as well as to enhance customers’ savings.
Eric Galvan; Paras Mandal; Shantanu Chakraborty; Tomonobu Senjyu. Efficient Energy-Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids. Sustainability 2019, 11, 5436 .
AMA StyleEric Galvan, Paras Mandal, Shantanu Chakraborty, Tomonobu Senjyu. Efficient Energy-Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids. Sustainability. 2019; 11 (19):5436.
Chicago/Turabian StyleEric Galvan; Paras Mandal; Shantanu Chakraborty; Tomonobu Senjyu. 2019. "Efficient Energy-Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids." Sustainability 11, no. 19: 5436.
The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB®. From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences 2019, 9, 3855 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Paras Mandal, Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences. 2019; 9 (18):3855.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. 2019. "Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management." Applied Sciences 9, no. 18: 3855.
In recent years, the integration of wind power generation facilities, and especially offshore wind power generation facilities, into power grids has increased rapidly. Therefore, the grid codes concerning wind power integration have become a major factor in ensuring power system reliability. This work compares grid codes about wind power integration around the world. The grid codes of Denmark, Ireland, the UK, Germany, Spain, China, the US, Canada, and other countries are considered. The most important of these grid codes concern reactive power, frequency regulation, fault ride-through, and power quality. Several grid codes also address communication, ramp rate, and the offshore wind power plants (WPP). This work provides information on the future of grid code requirements for offshore wind power integration, which helps the system operators ensure the safe operation of a power system with a high penetration of wind power generation.
Yuan-Kang Wu; Shih-Ming Chang; Paras Mandal. Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes. IEEE Transactions on Industry Applications 2019, 55, 5584 -5593.
AMA StyleYuan-Kang Wu, Shih-Ming Chang, Paras Mandal. Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes. IEEE Transactions on Industry Applications. 2019; 55 (6):5584-5593.
Chicago/Turabian StyleYuan-Kang Wu; Shih-Ming Chang; Paras Mandal. 2019. "Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes." IEEE Transactions on Industry Applications 55, no. 6: 5584-5593.
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.
Like in most developing countries, meeting the load demand and reduction in transmission grid bottlenecks remains a significant challenge for the power sector in Sierra Leone. In recent years, research attention has shifted to demand response (DR) programs geared towards improving the supply availability and quality of energy markets in developed countries. However, very few studies have discussed the implementation of suitable DR programs for developing countries, especially when utilizing renewable energy (RE) resources. In this paper, using the Freetown’s peak load demand data and the price elasticity concept, the interruptible demand response (DR) program has been considered for maximum demand index (MDI) customers. Economic analysis of the energy consumption, customer incentives, benefits, penalties and the impact on the load demand are analyzed, with optimally designed energy management for grid-integrated battery energy storage system (BESS) and photovoltaic (PV)-hybrid system using the genetic algorithm (GA). Five scenarios are considered to confirm the effectiveness and robustness of the proposed scheme. The results show the economic superiority of the proposed DR program’s approach for both customers and supplier benefits. Moreover, RE inclusion proved to be a practical approach over the project lifespan, compared to the diesel generation alternative.
Abdul Conteh; Mohammed Elsayed Lotfy; Kiptoo Mark Kipngetich; Tomonobu Senjyu; Paras Mandal; Shantanu Chakraborty. An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone. Sustainability 2019, 11, 2828 .
AMA StyleAbdul Conteh, Mohammed Elsayed Lotfy, Kiptoo Mark Kipngetich, Tomonobu Senjyu, Paras Mandal, Shantanu Chakraborty. An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone. Sustainability. 2019; 11 (10):2828.
Chicago/Turabian StyleAbdul Conteh; Mohammed Elsayed Lotfy; Kiptoo Mark Kipngetich; Tomonobu Senjyu; Paras Mandal; Shantanu Chakraborty. 2019. "An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone." Sustainability 11, no. 10: 2828.
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.
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 StyleHiroki 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 StyleHiroki 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.
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.
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 StyleMir 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 StyleMir 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.
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 recent years, the introduction of electric vehicles (EV) has been promoted for the purpose of reducing carbon dioxide emissions. However, since EV and EV infrastructure are not familiarized, it is impeding the introduction of EV. In this research, an EV charging station attached to a convenience store is proposed. The effectiveness of the business model of the EV charging station that sells to general low pressure customers by cooperating among multiple EV charging stations has been shown. Simulation results show that profits are obtained in both case with and without cooperation, the sum of profits becomes larger in the case of cooperation, and the effectiveness of the proposed business model is confirmed.
Yuta Susowake; Huang Yongyi; Tomonobu Senjyu; Abdul Motin Howlader; Paras Mandal. Optimum Operation Plan for Multiple Existing EV Charging Stations. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2018, 611 -615.
AMA StyleYuta Susowake, Huang Yongyi, Tomonobu Senjyu, Abdul Motin Howlader, Paras Mandal. Optimum Operation Plan for Multiple Existing EV Charging Stations. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). 2018; ():611-615.
Chicago/Turabian StyleYuta Susowake; Huang Yongyi; Tomonobu Senjyu; Abdul Motin Howlader; Paras Mandal. 2018. "Optimum Operation Plan for Multiple Existing EV Charging Stations." 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) , no. : 611-615.
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.
This research proposes the methodology of multi-objective design of renewable energy system which consists of photvoltaic, wind generator, battery energy storage system, fuel cell, and seawater electrolysis plant. Furthermore, the power system has realized with minimum investment cost, as the operation plans of each source have optimized simultaneously. SEP has been introduced to solve the economic problem of power system on remote islands in Japan. Finally, the result has been compared with conventional renewable energy system to check the validity of the proposed renewable power system.
Yuta Susowake; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Tomonobu Senjyu; Abdul Motin Howlader; Paras Mandal. Multi-Objective Design of Power System Introducing Seawater Electrolysis Plant for Remote Island. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2018, 909 -911.
AMA StyleYuta Susowake, Abdul Matin Ibrahimi, Mir Sayed Shah Danish, Tomonobu Senjyu, Abdul Motin Howlader, Paras Mandal. Multi-Objective Design of Power System Introducing Seawater Electrolysis Plant for Remote Island. 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2018; ():909-911.
Chicago/Turabian StyleYuta Susowake; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Tomonobu Senjyu; Abdul Motin Howlader; Paras Mandal. 2018. "Multi-Objective Design of Power System Introducing Seawater Electrolysis Plant for Remote Island." 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 909-911.