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Optimal sizing of power systems has a tremendous effective role in reducing the total system cost by preventing unneeded investment in installing unnecessary generating units. This paper presents an optimal sizing and planning strategy for a completely hybrid renewable energy power system in a remote Japanese island, which is composed of photovoltaic (PV), wind generators (WG), battery energy storage system (BESS), fuel cell (FC), seawater electrolysis plant, and hydrogen tank. Demand response programs are applied to overcome the performance variance of renewable energy systems (RESs) as they offer an efficient solution for many problems such as generation cost, high demand peak to average ratios, and assist grid reliability during peak load periods. Real-Time Pricing (RTP), which is deployed in this work, is one of the main price-based demand response groups used to regulate electricity consumption of consumers. Four case studies are considered to confirm the robustness and effectiveness of the proposed schemes. Mixed-Integer Linear Programming (MILP) is utilized to optimize the size of the system’s components to decrease the total system cost and maximize the profits at the same time.
Mahmoud M. Gamil; Makoto Sugimura; Akito Nakadomari; Tomonobu Senjyu; Harun Or Rashid Howlader; Hiroshi Takahashi; Ashraf M. Hemeida. Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs. Energies 2020, 13, 3666 .
AMA StyleMahmoud M. Gamil, Makoto Sugimura, Akito Nakadomari, Tomonobu Senjyu, Harun Or Rashid Howlader, Hiroshi Takahashi, Ashraf M. Hemeida. Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs. Energies. 2020; 13 (14):3666.
Chicago/Turabian StyleMahmoud M. Gamil; Makoto Sugimura; Akito Nakadomari; Tomonobu Senjyu; Harun Or Rashid Howlader; Hiroshi Takahashi; Ashraf M. Hemeida. 2020. "Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs." Energies 13, no. 14: 3666.
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.
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.
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.
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.
Nowadays, the installations of photovoltaics (PVs) in the smart grid have been growing dramatically because the price of PVs is falling drastically. Undoubtedly, this is a great achievement for the recent smart grid technology. However, the colossal penetration of PVs’ power at the day-time changes the load demand of thermal generations (TGs) of a smart grid which creates duck shape load curve called duck curve. In a duck curve, peak and off-peak gaps are very large which increase the start-up cost (SUC) of TGs because the units of TGs must be turned on and turned-off frequently. Therefore, it is very significant to run TGs units optimally. Only an optimization technique is not enough to bring a good solution. This research considers concentrated solar power (CSP) and pumped storage hydroelectricity (PSH) as the energy storages. Also, fuel cells (FCs) are considered as the controllable loads in the demand side’s smart houses. In addition, this paper considers the real-time price-based demand response. The optimal unit commitment (UC) of TGs, PSHs and other generators is introduced for saving the fuel cost and SUC of TGs. The optimal results of the proposed model are determined by using MATLAB® INTLINPROG optimization toolbox. To evaluate the effectiveness of the proposed method, simulation results have been compared with some other methods.
Harun Or Rashid Howlader; Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Tomonobu Senjyu. Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response. IEEE Access 2018, 6, 4834 -4844.
AMA StyleHarun Or Rashid Howlader, Mohammad Masih Sediqi, Abdul Matin Ibrahimi, Tomonobu Senjyu. Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response. IEEE Access. 2018; 6 (99):4834-4844.
Chicago/Turabian StyleHarun Or Rashid Howlader; Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Tomonobu Senjyu. 2018. "Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response." IEEE Access 6, no. 99: 4834-4844.
This paper proposes energy management systems for micro-grids. In recent years, the use of renewable energy sources in micro-grids has become an effective means of power decentralization especially in remote areas where the extension of the main power grid is an impediment. But a mixture of renewable energy sources and conventional generation poses serious challenges in the operation and control of micro-grids as a result of the uncertainty associated with renewable sources. Therefore, excellent energy management with regards to the power production, control, reliability, and consumption is needed in the power system. The main objective of the energy management system is to minimize the system cost as well as meeting the demand. In order to take into account the uncertainties of distributed generators (DGs) and load consumption, demand response participation and load shedding is taken into account. Two different types of algorithms are used to solve the smart energy management system of the micro-grid. To minimize system costs, which includes unit commitment and demand response, a genetic algorithm is used. To further balance the supply and demand during extreme cases, load shedding is employed through the use of the artificial neural network. The simulation results displayed corroborate the merit of the proposed method.
Foday Conteh; Shota Tobaru; Harun Or Rashid Howlader; Atsushi Yona; Tomonobu Senjyu. Energy management systems for hybrid distributed generation sources in grid connected and stand-alone micro-grids. Journal of Renewable and Sustainable Energy 2017, 9, 065301 .
AMA StyleFoday Conteh, Shota Tobaru, Harun Or Rashid Howlader, Atsushi Yona, Tomonobu Senjyu. Energy management systems for hybrid distributed generation sources in grid connected and stand-alone micro-grids. Journal of Renewable and Sustainable Energy. 2017; 9 (6):065301.
Chicago/Turabian StyleFoday Conteh; Shota Tobaru; Harun Or Rashid Howlader; Atsushi Yona; Tomonobu Senjyu. 2017. "Energy management systems for hybrid distributed generation sources in grid connected and stand-alone micro-grids." Journal of Renewable and Sustainable Energy 9, no. 6: 065301.
Afghanistan is a key country between energy surplus areas (Central Asian Republics andIran) and energy deficit regions (Pakistan and India). It is in a position that can facilitate and launchregional electricity trade for the benefit of the region also derive significant gains for its own economyfrom energy imports and exports. On the other hand, Afghanistan is endowed with large renewableenergy resources (RERs), which it could exploit not only to satisfy its domestic power demand butalso to earn significant export revenue. This paper firstly explains the methodology and framework forthe power trade and then presents an optimization framework for profit maximization in the short-runtrading and cost minimization in the long-run trading. The proposed methodology is applied to a realcase between Afghanistan and Pakistan. The objective functions, parameters, variables and constraintsare described for both optimization models. System sizing, simulation and optimization are carriedout using genetic algorithm (GA) technique. The results in the short-run model represent optimalityof about 2654 MW electricity export from Afghanistan to Pakistan during summer. Moreover, resultsderived from running long-run model depict that by utilizing its RERs such as solar, wind and hydro,Afghanistan can not only meet its power demand but also can export to Pakistan during its deficitperiods and gain remarkable energy profits
Mohammad Masih Sediqi; Harun Or Rashid Howlader; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Najib Rahman Sabory; Tomonobu Senjyu. Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading. AIMS Energy 2017, 5, 691 -717.
AMA StyleMohammad Masih Sediqi, Harun Or Rashid Howlader, Abdul Matin Ibrahimi, Mir Sayed Shah Danish, Najib Rahman Sabory, Tomonobu Senjyu. Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading. AIMS Energy. 2017; 5 (4):691-717.
Chicago/Turabian StyleMohammad Masih Sediqi; Harun Or Rashid Howlader; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Najib Rahman Sabory; Tomonobu Senjyu. 2017. "Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading." AIMS Energy 5, no. 4: 691-717.
This paper presents a smart house-based power system for thermal unit commitment programme. The proposed power system consists of smart houses, renewable energy plants and conventional thermal units. The transmission constraints are considered for the proposed system. The generated power of the large capacity renewable energy plant leads to the violated transmission constraints in the thermal unit commitment programme, therefore, the transmission constraint should be considered. This paper focuses on the optimal operation of the thermal units incorporated with controllable loads such as Electrical Vehicle and Heat Pump water heater of the smart houses. The proposed method is compared with the power flow in thermal units operation without controllable loads and the optimal operation without the transmission constraints. Simulation results show the validation of the proposed method.
Harun Or Rashid Howlader; Hidehito Matayoshi; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Tomonobu Senjyu. Smart house-based optimal operation of thermal unit commitment for a smart grid considering transmission constraints. International Journal of Sustainable Energy 2016, 37, 438 -454.
AMA StyleHarun Or Rashid Howlader, Hidehito Matayoshi, Ahmad Samim Noorzad, Cirio Celestino Muarapaz, Tomonobu Senjyu. Smart house-based optimal operation of thermal unit commitment for a smart grid considering transmission constraints. International Journal of Sustainable Energy. 2016; 37 (5):438-454.
Chicago/Turabian StyleHarun Or Rashid Howlader; Hidehito Matayoshi; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Tomonobu Senjyu. 2016. "Smart house-based optimal operation of thermal unit commitment for a smart grid considering transmission constraints." International Journal of Sustainable Energy 37, no. 5: 438-454.
This paper deals with an optimal battery energy storage capacity for the smart grid operation. Distributed renewable generator and conventional thermal generator are considered as the power generation sources for the smart grid. Usually, a battery energy storage system (BESS) is used to satisfy the transmission constraints but installation cost of battery energy storage is very high. Sometimes, it is not possible to install a large capacity of the BESS. On the other hand, the competition of the electricity market has been increased due to the deregulation and liberalization of the power market. Therefore, the power companies are required to reduce the generation cost in order to maximize the profit. In this paper, a thermal units commitment program considers the demand response system to satisfy the transmission constraints. The BESS capacity can be reduced by the demand response system. The electric vehicle (EV) and heat pump (HP) in the smart house are considered as the controllable loads of the demand side. The effectiveness of the proposed method is validated by extensive simulation results which ensure the reduction of BESS capacity and power generation cost, and satisfy the transmission constraints.
Harun Or Rashid Howlader; Hidehito Matayoshi; Tomonobu Senjyu. Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid. Renewable Energy 2016, 99, 107 -117.
AMA StyleHarun Or Rashid Howlader, Hidehito Matayoshi, Tomonobu Senjyu. Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid. Renewable Energy. 2016; 99 ():107-117.
Chicago/Turabian StyleHarun Or Rashid Howlader; Hidehito Matayoshi; Tomonobu Senjyu. 2016. "Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid." Renewable Energy 99, no. : 107-117.