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Cirio Celestino Muarapaz
The Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa, Japan 903-0213

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Conference paper
Published: 09 February 2017 in 2016 IEEE Region 10 Conference (TENCON)
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In remote islands in Japan, there is a need to introduce renewable energy to meet the demand, because the power system in these areas are basically composed of internal combustion generators from which the generated energy is expensive and it is not friendly to the environment nowadays. However, the uncertainty of renewable energy sources such as photovoltaic (PV) and wind generator (WG), makes it difficult to predict the output power of these resources. Hence, battery energy storage system (BESS) is being introduced. BESS is very effective equipment because it is possible to prevent the power output variation of renewable energy facilities through the charging and discharging of the BESS. Furthermore, demand response (DR) program is attracting attention as an effective instrument for energy management method. It can be divided into two main categories: time-based program and incentive-based program. This paper addresses real-time pricing (RTP) under the time-based program. It enables power supplier to control the load demand based on electricity prices. This paper presents the optimization method to determine the capacity of PV, WG, and BESS in 100% renewable energy small power systems and also indicates the effectiveness of optimal RTP.

ACS Style

Shota Tobaru; Cirio Celestino Muarapaz; Foday Conteh; Tomonobu Senjyu; Abdul Motin Howlader; Mir Sayed Shah Danish. Design of hybrid renewable energy systems considering optimal real-time pricing. 2016 IEEE Region 10 Conference (TENCON) 2017, 3206 -3209.

AMA Style

Shota Tobaru, Cirio Celestino Muarapaz, Foday Conteh, Tomonobu Senjyu, Abdul Motin Howlader, Mir Sayed Shah Danish. Design of hybrid renewable energy systems considering optimal real-time pricing. 2016 IEEE Region 10 Conference (TENCON). 2017; ():3206-3209.

Chicago/Turabian Style

Shota Tobaru; Cirio Celestino Muarapaz; Foday Conteh; Tomonobu Senjyu; Abdul Motin Howlader; Mir Sayed Shah Danish. 2017. "Design of hybrid renewable energy systems considering optimal real-time pricing." 2016 IEEE Region 10 Conference (TENCON) , no. : 3206-3209.

Journal article
Published: 13 January 2017 in Sustainability
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Recently, the off-grid smart house has been attracting attention in Japan for considering global warming. Moreover, the selling price of surplus power from the renewable energy system by Feed-In Tariff (FIT) has declined. Therefore, this paper proposes an off-grid smart house with the introduced Photovoltaic (PV) system, Solar Collector (SC) system, Hot Water Heat Pump (HWHP), fixed battery and Electric Vehicle (EV). In this research, a multi-objective optimization problem is considered to minimize the introduced capacity and shortage of the power supply in the smart house. It can perform the electric power procurement from the EV charging station for the compensation of a shortage of power supply. From the simulation results, it is shown that the shortage of the power supply can be reduced by the compensation of the EV power. Furthermore, considering the uncertainty for PV output power, reliable simulation results can be obtained.

ACS Style

Yasuaki Miyazato; Shota Tobaru; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House. Sustainability 2017, 9, 117 .

AMA Style

Yasuaki Miyazato, Shota Tobaru, Kosuke Uchida, Cirio Celestino Muarapaz, Abdul Motin Howlader, Tomonobu Senjyu. Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House. Sustainability. 2017; 9 (1):117.

Chicago/Turabian Style

Yasuaki Miyazato; Shota Tobaru; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. 2017. "Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House." Sustainability 9, no. 1: 117.

Original articles
Published: 27 December 2016 in International Journal of Sustainable Energy
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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.

ACS Style

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 Style

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 (5):438-454.

Chicago/Turabian Style

Harun 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.

Journal article
Published: 08 December 2016 in Sustainability
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Distributed generators (DG) using renewable energy sources (RESs) have been attracting special attention within distribution systems. However, a large amount of DG penetration causes voltage deviation and reverse power flow in the smart grid. Therefore, the smart grid needs a solution for voltage control, power flow control and power outage prevention. This paper proposes a decision technique of optimal reference scheduling for a battery energy storage system (BESS), inverters interfacing with a DG and voltage control devices for optimal operation. Moreover, the reconfiguration of the distribution system is made possible by the installation of a loop power flow controller (LPC). Two separate simulations are provided to maintain the reliability in the stable power supply and economical aspects. First, the effectiveness of the smart grid with installed BESS or LPC devices is demonstrated in fault situations. Second, the active smart grid using LCPs is proposed. Real-time techniques of the dual scheduling algorithm are applied to the system. The aforementioned control objective is formulated and solved using the particle swarm optimization (PSO) algorithm with an adaptive inertia weight (AIW) function. The effectiveness of the optimal operation in ordinal and fault situations is verified by numerical simulations.

ACS Style

Ryuto Shigenobu; Ahmad Samim Noorzad; Cirio Muarapaz; Atsushi Yona; Tomonobu Senjyu. Optimal Operation and Management of Smart Grid System with LPC and BESS in Fault Conditions. Sustainability 2016, 8, 1282 .

AMA Style

Ryuto Shigenobu, Ahmad Samim Noorzad, Cirio Muarapaz, Atsushi Yona, Tomonobu Senjyu. Optimal Operation and Management of Smart Grid System with LPC and BESS in Fault Conditions. Sustainability. 2016; 8 (12):1282.

Chicago/Turabian Style

Ryuto Shigenobu; Ahmad Samim Noorzad; Cirio Muarapaz; Atsushi Yona; Tomonobu Senjyu. 2016. "Optimal Operation and Management of Smart Grid System with LPC and BESS in Fault Conditions." Sustainability 8, no. 12: 1282.

Journal article
Published: 07 December 2016 in Sustainability
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A smart house generally has a Photovoltaic panel (PV), a Heat Pump (HP), a Solar Collector (SC) and a fixed battery. Since the fixed battery can buy and store inexpensive electricity during the night, the electricity bill can be reduced. However, a large capacity fixed battery is very expensive. Therefore, there is a need to determine the economic capacity of fixed battery. Furthermore, surplus electric power can be sold using a buyback program. By this program, PV can be effectively utilized and contribute to the reduction of the electricity bill. With this in mind, this research proposes a multi-objective optimization, the purpose of which is electric demand control and reduction of the electricity bill in the smart house. In this optimal problem, the Pareto optimal solutions are searched depending on the fixed battery capacity. Additionally, it is shown that consumers can choose what suits them by comparing the Pareto optimal solutions.

ACS Style

Yasuaki Miyazato; Hayato Tahara; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems. Sustainability 2016, 8, 1273 .

AMA Style

Yasuaki Miyazato, Hayato Tahara, Kosuke Uchida, Cirio Celestino Muarapaz, Abdul Motin Howlader, Tomonobu Senjyu. Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems. Sustainability. 2016; 8 (12):1273.

Chicago/Turabian Style

Yasuaki Miyazato; Hayato Tahara; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. 2016. "Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems." Sustainability 8, no. 12: 1273.

Journal article
Published: 15 March 2016 in International Journal of Emerging Electric Power Systems
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Distributed generators (DG) and renewable energy sources have been attracting special attention in distribution systems in all over the world. Renewable energies, such as photovoltaic (PV) and wind turbine generators are considered as green energy. However, a large amount of DG penetration causes voltage deviation beyond the statutory range and reverse power flow at interconnection points in the distribution system. If excessive voltage deviation occurs, consumer’s electric devices might break and reverse power flow will also has a negative impact on the transmission system. Thus, mass interconnections of DGs has an adverse effect on both of the utility and the customer. Therefore, reactive power control method is proposed previous research by using inverters attached DGs for prevent voltage deviations. Moreover, battery energy storage system (BESS) is also proposed for resolve reverse power flow. In addition, it is possible to supply high quality power for managing DGs and BESSs. Therefore, this paper proposes a method to maintain voltage, active power, and reactive power flow at interconnection points by using cooperative controlled of PVs, house BESSs, EVs, large BESSs, and existing voltage control devices. This paper not only protect distribution system, but also attain distribution loss reduction and effectivity management of control devices. Therefore mentioned control objectives are formulated as an optimization problem that is solved by using the Particle Swarm Optimization (PSO) algorithm. Modified scheduling method is proposed in order to improve convergence probability of scheduling scheme. The effectiveness of the proposed method is verified by case studies results and by using numerical simulations in MATLAB®.

ACS Style

Ryuto Shigenobu; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Atsushi Yona; Tomonobu Senjyu. Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System. International Journal of Emerging Electric Power Systems 2016, 17, 173 -189.

AMA Style

Ryuto Shigenobu, Ahmad Samim Noorzad, Cirio Celestino Muarapaz, Atsushi Yona, Tomonobu Senjyu. Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System. International Journal of Emerging Electric Power Systems. 2016; 17 (2):173-189.

Chicago/Turabian Style

Ryuto Shigenobu; Ahmad Samim Noorzad; Cirio Celestino Muarapaz; Atsushi Yona; Tomonobu Senjyu. 2016. "Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System." International Journal of Emerging Electric Power Systems 17, no. 2: 173-189.