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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.
In this work we had presented a power system electricity frequency control approach of 100% renewable energy sources isolated power grid by applying model predictive control (MPC). As the PV panel and storage battery price had dramatically dropped in these years, large capacity of PV generation and storage battery had been introduced base on an original 100% renewable energy power system. MPCs had been design for each of the model (Photovoltaic Generation, Wind turbine Generation, Storage Battery, Fuel Cell and Seawater Electrolyzer) to suppress the consumption and generation balance. In addition, in order to suppress the load frequency, demand response (real-time pricing) also had been applied in this scheme by adjust the controllable loads. All of the control approach proposed in this work had been verified by [email protected]/[email protected] And by discuss and analysis the simulation results, the stability, robustness, reliability and effectiveness of this scheme had been examined.
Lei Liua; Tomonobu Senjyua; Takeyoshi Katob; Abdul Motin Howlader; Paras Mandald; Mohammed ElsayedLotfyea. Load frequency control for renewable energy sources for isolated power system by introducing large scale PV and storage battery. Energy Reports 2020, 6, 1597 -1603.
AMA StyleLei Liua, Tomonobu Senjyua, Takeyoshi Katob, Abdul Motin Howlader, Paras Mandald, Mohammed ElsayedLotfyea. Load frequency control for renewable energy sources for isolated power system by introducing large scale PV and storage battery. Energy Reports. 2020; 6 ():1597-1603.
Chicago/Turabian StyleLei Liua; Tomonobu Senjyua; Takeyoshi Katob; Abdul Motin Howlader; Paras Mandald; Mohammed ElsayedLotfyea. 2020. "Load frequency control for renewable energy sources for isolated power system by introducing large scale PV and storage battery." Energy Reports 6, no. : 1597-1603.
Following a rise in population, load demand is increasing even in the remote areas and islands of Bangladesh. Being an island that is also far from the mainland of Bangladesh, St. Martin’s is in need of electricity. As it has ample renewable energy resources, a renewable energy-based microgrid system seems to be the ultimate solution, considering the ever-increasing price of diesel fuel. This study proposes a microgrid system and tests its technical and economic feasibility in that area. All possible configurations have been simulated to try and find the optimal system for the island, which would be eco-friendly and economical with and without considering renewable energy options. The existing power supply configuration has also been compared to the best system after analyzing and investigating all technical and economic feasibility. Sensitivity and risk analysis between different cases provide added value to this study. The results show that the current diesel-based system is not viable for the island’s people, but rather a heavy burden to them due to the high cost of per unit electricity and the net present cost. In contrast, a PV /Wind/Diesel/Battery hybrid microgrid appeared to be the most feasible system. The proposed system is found to be around 1.5 times and 28% inexpensive considering the net present cost and cost of energy, respectively, with a high (56%) share of renewable energy which reduces 23% carbon dioxide.
Hasan Masrur; Harun Or Rashid Howlader; Mohammed Elsayed Lotfy; Kaisar R. Khan; Josep M. Guerrero; Tomonobu Senjyu. Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh. Sustainability 2020, 12, 2880 .
AMA StyleHasan Masrur, Harun Or Rashid Howlader, Mohammed Elsayed Lotfy, Kaisar R. Khan, Josep M. Guerrero, Tomonobu Senjyu. Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh. Sustainability. 2020; 12 (7):2880.
Chicago/Turabian StyleHasan Masrur; Harun Or Rashid Howlader; Mohammed Elsayed Lotfy; Kaisar R. Khan; Josep M. Guerrero; Tomonobu Senjyu. 2020. "Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh." Sustainability 12, no. 7: 2880.
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.
The need for innovative pathways for future zero-emission and sustainable power development has recently accelerated the uptake of variable renewable energy resources (VREs). However, integration of VREs such as photovoltaic and wind generators requires the right approaches to design and operational planning towards coping with the fluctuating outputs. This paper investigates the technical and economic prospects of scheduling flexible demand resources (FDRs) in optimal configuration planning of VRE-based microgrids. The proposed demand-side management (DSM) strategy considers short-term power generation forecast to efficiently schedule the FDRs ahead of time in order to minimize the gap between generation and load demand. The objective is to determine the optimal size of the battery energy storage, photovoltaic and wind systems at minimum total investment costs. Two simulation scenarios, without and with the consideration of DSM, were investigated. The random forest algorithm implemented on scikit-learn python environment is utilized for short-term power prediction, and mixed integer linear programming (MILP) on MATLAB® is used for optimum configuration optimization. From the simulation results obtained here, the application of FDR scheduling resulted in a significant cost saving of investment costs. Moreover, the proposed approach demonstrated the effectiveness of the FDR in minimizing the mismatch between the generation and load demand.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet 2019, 11, 219 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Theophilus Amara, Keifa Vamba Konneh, Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet. 2019; 11 (10):219.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. 2019. "Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning." Future Internet 11, no. 10: 219.
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.
This paper focuses on the optimal unit commitment (UC) scheme along with optimal power trading for the Northeast Power System (NEPS) of Afghanistan with a penetration of 230 MW of PV power energy. The NEPS is the biggest power system of Afghanistan fed from three main sources; 1. Afghanistan’s own power generation units (three thermal units and three hydro units); 2. imported power from Tajikistan; 3. imported power from Uzbekistan. PV power forecasting fluctuations have been handled by means of 50 scenarios generated by Latin-hypercube sampling (LHS) after getting the point solar radiation forecast through the neural network (NN) toolbox. To carry out the analysis, we consider three deterministic UC and two stochastic UC cases with a two-stage programming model that indicates the day-ahead UC as the first stage and the intra-day operation of the system as the second stage. A binary-real genetic algorithm is coded in MATLAB software to optimize the proposed cases in terms of thermal units’ operation costs, import power tariffs, as well as from the perspective of the system reliability risks expressed as the reserve and load not served costs. The results indicate that in the deterministic UC models, the risk of reserve and load curtailment does exist. The stochastic UC approaches including the optimal power trading are superior to the deterministic ones. Moreover, the scheduled UC costs and reserves are different from the actual ones.
Mohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability 2019, 11, 4504 .
AMA StyleMohammad Masih Sediqi, Mohammed Elsayed Lotfy, Abdul Matin Ibrahimi, Tomonobu Senjyu, Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability. 2019; 11 (16):4504.
Chicago/Turabian StyleMohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. 2019. "Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty." Sustainability 11, no. 16: 4504.
Oludamilare Bode Adewuyi; Mohammed E. Lotfy; Benjamin Olabisi Akinloye; Harun Or Rashid Howlader; Tomonobu Senjyu; Krishna Narayanan. Security-constrained optimal utility-scale solar PV investment planning for weak grids: Short reviews and techno-economic analysis. Applied Energy 2019, 245, 16 -30.
AMA StyleOludamilare Bode Adewuyi, Mohammed E. Lotfy, Benjamin Olabisi Akinloye, Harun Or Rashid Howlader, Tomonobu Senjyu, Krishna Narayanan. Security-constrained optimal utility-scale solar PV investment planning for weak grids: Short reviews and techno-economic analysis. Applied Energy. 2019; 245 ():16-30.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Mohammed E. Lotfy; Benjamin Olabisi Akinloye; Harun Or Rashid Howlader; Tomonobu Senjyu; Krishna Narayanan. 2019. "Security-constrained optimal utility-scale solar PV investment planning for weak grids: Short reviews and techno-economic analysis." Applied Energy 245, no. : 16-30.
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.
Desalination process is an essential demand to overcome the lack of drinking water in remote areas in Egypt. Hybrid energy system drives desalination techniques to provide potable water for islands and coastal zones where there is no electrical grid. This paper analyzes the technical configuration, sizing and economic optimization of off-grid hybrid energy system powered reverse osmosis plant. The hybrid system consists of wind turbines, photovoltaic panels, converters, storage batteries, and a diesel generator. The objective of this study is to satisfy the electrical energy demand of the reverse osmosis (RO) plant with a freshwater capacity of 100 m3/day for use at Nakhl, North Sinai, Egypt. This simulation studied eleven different configurations of energy sources to select the optimal case at the proposed location. Homer package is used to select the cost-effective, sustainable and socially accepted system. The simulation is based on calculating the net present cost (NPC), excess system electricity, cost of energy (COE) and carbon dioxide emissions (CO2). Through the study, the optimal configuration consists of 160 kW photo-voltaic (PV) panels, 19 strings of lead-acid batteries and a 50 kW diesel generator system. The optimal case achieves the lowest cost of energy ($0.107/kWh) and net present cost ($502,662).
Mohamed Osman Atallah; M.A. Farahat; Mohammed Elsayed Lotfy; Tomonobu Senjyu. Operation of conventional and unconventional energy sources to drive a reverse osmosis desalination plant in Sinai Peninsula, Egypt. Renewable Energy 2019, 145, 141 -152.
AMA StyleMohamed Osman Atallah, M.A. Farahat, Mohammed Elsayed Lotfy, Tomonobu Senjyu. Operation of conventional and unconventional energy sources to drive a reverse osmosis desalination plant in Sinai Peninsula, Egypt. Renewable Energy. 2019; 145 ():141-152.
Chicago/Turabian StyleMohamed Osman Atallah; M.A. Farahat; Mohammed Elsayed Lotfy; Tomonobu Senjyu. 2019. "Operation of conventional and unconventional energy sources to drive a reverse osmosis desalination plant in Sinai Peninsula, Egypt." Renewable Energy 145, no. : 141-152.
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.
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.
Due to the interconnected scheme of multiple components, such as distributed generators, storage systems, and loads through converters to a common bus in DC microgrids, the possibility of fault occurrence is increasing significantly. Meanwhile, due to the huge and rapid increase of short-circuit currents, the development of a small- and large-scale DC system requires a reliable and fast protection system to ensure fault clearance and maintain safety for the rest of the system. Thus, fault protection has been focused on as one of the most critical issues in a direct current network. The application of traditional circuit-breakers for DC fault protection has the drawback of slow operation, which requires a high rating power equipment. Recently, the high speed and excellent performance capabilities of semiconductor breakers have attracted a lot of attention and been considered as an optimal solution for fast DC fault interruption. In this study, a bidirectional Insulated-Gate Bipolar Transistor (IGBT) semiconductor breaker, suitable for the fault protection of low-voltage DC networks, is proposed. The operating characteristics of this breaker are based on changes in the circuit current and terminal voltage of IGBTs. It detects the abrupt change of the terminal voltage as an abnormal condition and isolates the faulted branch in a short time to prevent the operation disturbance in the healthy part of the network. Therefore, for the entire protection of a typical 400V DC-microgrid cluster, breakers need to be integrated and examined in each branch and the interconnected lines. The proposed protection method in this study is examined in a Simulink®/MATLAB environment to analyze and assess its operation.
Mohammad Aman Yaqobi; Hidehito Matayoshi; Mir Sayed Shah Danish; Mohammed Elsayed Lotfy; Abdul Motin Howlader; Senjyu Tomonobu. Low-Voltage Solid-State DC Breaker for Fault Protection Applications in Isolated DC Microgrid Cluster. Applied Sciences 2019, 9, 723 .
AMA StyleMohammad Aman Yaqobi, Hidehito Matayoshi, Mir Sayed Shah Danish, Mohammed Elsayed Lotfy, Abdul Motin Howlader, Senjyu Tomonobu. Low-Voltage Solid-State DC Breaker for Fault Protection Applications in Isolated DC Microgrid Cluster. Applied Sciences. 2019; 9 (4):723.
Chicago/Turabian StyleMohammad Aman Yaqobi; Hidehito Matayoshi; Mir Sayed Shah Danish; Mohammed Elsayed Lotfy; Abdul Motin Howlader; Senjyu Tomonobu. 2019. "Low-Voltage Solid-State DC Breaker for Fault Protection Applications in Isolated DC Microgrid Cluster." Applied Sciences 9, no. 4: 723.
The quest for economic growth has led to increase in world's energy consumption and to meet this continuously widening energy gap, high penetration of variable energy resources (VER) into the energy mix of countries all over the world is being encouraged. However, there is a limitation on the capacity of existing transmission facilities and the power system is more susceptible to voltage instability issues and the number of outages caused by voltage collapse has increased greatly. In this paper, a capacity factor based approach for optimal penetration of utility-scale PV solar power into the Nigerian power system considering voltage stability is discussed and compared with the line loss minimization approach. Multi-objective particle swarm optimization algorithm on MATLAB® is used to compute sufficient capacity of solar PV that the power system can accommodate while maintaining the stability of the system. An additional constraint based on voltage stability margin is included to keep the system within the stability margin. The proposed approach with the added constraint is found to perform better for both line loss reduction and voltage stability improvement than the line loss minimization approach. Two optimization algorithms are used to verify the accuracy of the approach for techno-economic planning.
Oludamilare Bode Adewuyi; Ryuto Shigenobu; Tomonobu Senjyu; Mohammed E. Lotfy; Abdul Motin Howlader. Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study. Electric Power Systems Research 2018, 168, 269 -282.
AMA StyleOludamilare Bode Adewuyi, Ryuto Shigenobu, Tomonobu Senjyu, Mohammed E. Lotfy, Abdul Motin Howlader. Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study. Electric Power Systems Research. 2018; 168 ():269-282.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Ryuto Shigenobu; Tomonobu Senjyu; Mohammed E. Lotfy; Abdul Motin Howlader. 2018. "Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study." Electric Power Systems Research 168, no. : 269-282.
The need for Sierra Leone, like every other country in Sub-Saharan Africa, to improve its electricity supply in order to enhance energy access for all thereby improving economic growth has become imminent. With a small population of about 7 million, the daily supply is not guaranteed and is far below the demand. With the huge renewable energy potential of Solar (1600kWh/m2/year), hydro (more than 2500MW for 27 sites), and biomass, (about 2500 GWh/year) that the country boasts of for its small population, urgent environmentally friendly and cost effective measures have to be taken to improve on the current socio economic conditions. In this work, Multi-objective Particle Swarm Optimization (MOPSO) technique was used to optimally size governmental rooftop and ground-mounted grid connected Photovoltaic (PV) panels and Battery Energy Storage System (BESS) in a bid to reduce the supply deficit in the capital, Freetown. The objectives considered in this contribution are maximizing daily generation and minimizing daily hybrid generation cost.
David Abdul Konneh; Mohammed Lotfy; Ryuto Shigenobu; Tomonobu Senjyu. Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone. IFAC-PapersOnLine 2018, 51, 191 -196.
AMA StyleDavid Abdul Konneh, Mohammed Lotfy, Ryuto Shigenobu, Tomonobu Senjyu. Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone. IFAC-PapersOnLine. 2018; 51 (28):191-196.
Chicago/Turabian StyleDavid Abdul Konneh; Mohammed Lotfy; Ryuto Shigenobu; Tomonobu Senjyu. 2018. "Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone." IFAC-PapersOnLine 51, no. 28: 191-196.
Renewable energy sources (RESs), as clean, abundant, and inexhaustible source of energy, have developed quickly in recent years and played more and more important roles around the world. However, RESs also have some disadvantages, such as the weakness of stability, and by the the estimated increase of utilizing RESs in the near future, researchers began to give more attention to these issues. This paper presents a novel output power fluctuate compensation scheme in the small-scale power system, verifying the effect of output power control using storage battery, demand-response and RESs. Four scenarios are considered in the proposed approach: real-time pricing demand-response employment, RESs output control use and both of demand-response and RESs output control implementation. The performance of the proposed control technique is investigated using the real 10-bus power system model of Okinawa island, Japan. Moreover, the system stability is checked using the pole-zero maps for all of the control loops associated with the proposed scheme. The robustness and effectiveness of the proposed method was verified by simulation using Matlab ® /Simulink ® .
Lei Liu; Hidehito Matayoshi; Mohammed Elsayed Lotfy; Manoj Datta; Tomonobu Senjyu. Load Frequency Control Using Demand Response and Storage Battery by Considering Renewable Energy Sources. Energies 2018, 11, 3412 .
AMA StyleLei Liu, Hidehito Matayoshi, Mohammed Elsayed Lotfy, Manoj Datta, Tomonobu Senjyu. Load Frequency Control Using Demand Response and Storage Battery by Considering Renewable Energy Sources. Energies. 2018; 11 (12):3412.
Chicago/Turabian StyleLei Liu; Hidehito Matayoshi; Mohammed Elsayed Lotfy; Manoj Datta; Tomonobu Senjyu. 2018. "Load Frequency Control Using Demand Response and Storage Battery by Considering Renewable Energy Sources." Energies 11, no. 12: 3412.
Robust control methodology for two-area load frequency control model is proposed in this paper. The paper presents a comparative study between the performance of model predictive controller (MPC) and optimized proportional–integral–derivative (PID) controller on different systems. An objective function derived from settling time, percentage overshoot and percentage undershoot is minimized to obtain the gains of the PID controller. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to tune the parameters of the PID controller through performance optimization of the system. System performance characteristics were compared to another controller designed based on MPC. Detailed comparison was performed between the performances of the MPC and optimized PID. The effectiveness and robustness of the proposed schemes were verified by the numerical simulation in MATLAB environment under different scenarios such as load and parameters variations. Moreover, the pole-zero map of each proposed approach is presented to investigate their stability.
Komboigo Charles; Naomitsu Urasaki; Tomonobu Senjyu; Mohammed Elsayed Lotfy; Lei Liu. Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers. Energies 2018, 11, 3070 .
AMA StyleKomboigo Charles, Naomitsu Urasaki, Tomonobu Senjyu, Mohammed Elsayed Lotfy, Lei Liu. Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers. Energies. 2018; 11 (11):3070.
Chicago/Turabian StyleKomboigo Charles; Naomitsu Urasaki; Tomonobu Senjyu; Mohammed Elsayed Lotfy; Lei Liu. 2018. "Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers." Energies 11, no. 11: 3070.
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.
This paper proposes the load frequency control method using model predictive control for isolated power system without thermal generator. Two control approaches are presented for generation and demand sides to achieve the generation/load balance and hence damp frequency fluctuations. First, five model predictive controllers are designed for wind power generator, photovoltaic generator, storage battery, fuel cell, and seawater electrolyzer to control their output power. Moreover, real-time pricing scheme is utility modify the controllable loads according to the value of frequency error.
Lei Liu; Mohammed Elsayed Lotfy; Hidehito Matayoshi; Tomonobu Senjyu; Manoj Datta. Load Frequency Control for Renewable Energy Sources for Isolated Power System. 2018 5th International Conference on Electric Power and Energy Conversion Systems (EPECS) 2018, 1 -6.
AMA StyleLei Liu, Mohammed Elsayed Lotfy, Hidehito Matayoshi, Tomonobu Senjyu, Manoj Datta. Load Frequency Control for Renewable Energy Sources for Isolated Power System. 2018 5th International Conference on Electric Power and Energy Conversion Systems (EPECS). 2018; ():1-6.
Chicago/Turabian StyleLei Liu; Mohammed Elsayed Lotfy; Hidehito Matayoshi; Tomonobu Senjyu; Manoj Datta. 2018. "Load Frequency Control for Renewable Energy Sources for Isolated Power System." 2018 5th International Conference on Electric Power and Energy Conversion Systems (EPECS) , no. : 1-6.