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Hirotaka Takano
Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan

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Journal article
Published: 26 July 2021 in Applied Sciences
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Demand response programs (DRs) can be implemented with less investment costs than those in power plants or facilities and enable us to control power demand. Therefore, they are highly expected as an efficient option for power supply–demand-balancing operations. On the other hand, DRs bring new difficulties on how to evaluate the cooperation of consumers and to decide electricity prices or rebate levels with reflecting its results. This paper presents a theoretical approach that calculates electricity prices and rebate levels in DRs based on the framework of social welfare maximization. In the authors’ proposal, the DR-originated changes in the utility functions of power suppliers and consumers are used to set a guide for DR requests. Moreover, optimal electricity prices and rebate levels are defined from the standpoint of minimal burden in DRs. Through numerical simulations and discussion on their results, the validity of the authors’ proposal is verified.

ACS Style

Hirotaka Takano; Naohiro Yoshida; Hiroshi Asano; Aya Hagishima; Nguyen Tuyen. Calculation Method for Electricity Price and Rebate Level in Demand Response Programs. Applied Sciences 2021, 11, 6871 .

AMA Style

Hirotaka Takano, Naohiro Yoshida, Hiroshi Asano, Aya Hagishima, Nguyen Tuyen. Calculation Method for Electricity Price and Rebate Level in Demand Response Programs. Applied Sciences. 2021; 11 (15):6871.

Chicago/Turabian Style

Hirotaka Takano; Naohiro Yoshida; Hiroshi Asano; Aya Hagishima; Nguyen Tuyen. 2021. "Calculation Method for Electricity Price and Rebate Level in Demand Response Programs." Applied Sciences 11, no. 15: 6871.

Journal article
Published: 02 May 2021 in Applied Sciences
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The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and a discussion of their results.

ACS Style

Hirotaka Takano; Junichi Murata; Kazuki Morishita; Hiroshi Asano. Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information. Applied Sciences 2021, 11, 4169 .

AMA Style

Hirotaka Takano, Junichi Murata, Kazuki Morishita, Hiroshi Asano. Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information. Applied Sciences. 2021; 11 (9):4169.

Chicago/Turabian Style

Hirotaka Takano; Junichi Murata; Kazuki Morishita; Hiroshi Asano. 2021. "Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information." Applied Sciences 11, no. 9: 4169.

Journal article
Published: 27 April 2021 in Energies
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Operation scheduling in electric power grids is one of the most practical optimization problems as it sets a target for the efficient management of the electric power supply and demand. Advancement of a method to solve this issue is crucially required, especially in microgrids. This is because the operational capability of microgrids is generally lower than that of conventional bulk power grids, and therefore, it is extremely important to develop an appropriate, coordinated operation schedule of the microgrid components. Although various techniques have been developed to solve the problem, there is no established solution. The authors propose a problem framework and a solution method that finds the optimal operation schedule of the microgrid components considering the uncertainty in the available data. In the authors’ proposal, the objective function of the target problem is formulated as the expected cost of the microgrid’s operations. Since the risk of imbalance in the power supply and demand is evaluated as a part of the objective function, the necessary operational reserve power is automatically calculated. The usefulness of the proposed problem framework and its solution method was verified through numerical simulations and the results are discussed.

ACS Style

Hirotaka Takano; Ryota Goto; Ryosuke Hayashi; Hiroshi Asano. Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data. Energies 2021, 14, 2487 .

AMA Style

Hirotaka Takano, Ryota Goto, Ryosuke Hayashi, Hiroshi Asano. Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data. Energies. 2021; 14 (9):2487.

Chicago/Turabian Style

Hirotaka Takano; Ryota Goto; Ryosuke Hayashi; Hiroshi Asano. 2021. "Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data." Energies 14, no. 9: 2487.

Chapter
Published: 12 March 2020 in Springer Tracts in Nature-Inspired Computing
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This chapter introduces problem frameworks to determine coordinated operation schedules of microgrid components including controllable generation systems (CGs), energy storage systems (ESSs) and controllable loads (CLs). The aim of this study is to design a profitable and stable operation of microgrids based on optimization theory and methods, and it has been attracting significant attention in the electric power field. Discussions of the problem frameworks include electricity trade with the conventional power grids and uncertainty originated from variable renewable energy sources and/or electric consumption. As the basis of solution method, particle swarm optimization (PSO), which is one of the most popular nature-inspired metaheuristic algorithms, is selected. In addition, with a view to improving compatibility of the problem frameworks and the solution methods, the authors transform the target optimization problems into lower dimensional problems. By this strategy, binary particle swarm optimization (BPSO) is applicable in corporation with quadratic programming (QP). Through numerical simulations on a typical microgrid model, validity of the problem frameworks and usefulness of the PSO-based solution methods are verified.

ACS Style

Hirotaka Takano; Hiroshi Asano; Neeraj Gupta. Application Example of Particle Swarm Optimization on Operation Scheduling of Microgrids. Springer Tracts in Nature-Inspired Computing 2020, 215 -239.

AMA Style

Hirotaka Takano, Hiroshi Asano, Neeraj Gupta. Application Example of Particle Swarm Optimization on Operation Scheduling of Microgrids. Springer Tracts in Nature-Inspired Computing. 2020; ():215-239.

Chicago/Turabian Style

Hirotaka Takano; Hiroshi Asano; Neeraj Gupta. 2020. "Application Example of Particle Swarm Optimization on Operation Scheduling of Microgrids." Springer Tracts in Nature-Inspired Computing , no. : 215-239.

Journal article
Published: 11 March 2020 in Energies
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In this paper, the seven traditional models of photovoltaic (PV) modules are reviewed comprehensively to find out the appropriate model for reliability. All the models are validated using the Matlab code and graphical comparisons between models are made. The accuracy and convergence of each model is evaluated using the data of manufactured PV panels. Then, a novel model is proposed showing its consistent performance. The three most key parameters of the single-diode model are self-revised to adapt to various types of PV modules. This new method is verified in three types of PV panels’ data measured by the National Renewable Energy Laboratory (NREL), USA. The validated data show promising results when the error RMSEs’ range of the proposed model is under 0.36.

ACS Style

Tuyen Nguyen-Duc; Huy Nguyen-Duc; Thinh Le-Viet; Hirotaka Takano. Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model. Energies 2020, 13, 1296 .

AMA Style

Tuyen Nguyen-Duc, Huy Nguyen-Duc, Thinh Le-Viet, Hirotaka Takano. Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model. Energies. 2020; 13 (6):1296.

Chicago/Turabian Style

Tuyen Nguyen-Duc; Huy Nguyen-Duc; Thinh Le-Viet; Hirotaka Takano. 2020. "Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model." Energies 13, no. 6: 1296.

Preprint
Published: 05 March 2020
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In this paper, the seven traditional models of PV modules are reviewed comprehensively to find out the appropriate model to be reliable. All the models are validated using the Matlab code and make a graphical comparison. The accuracy and convergence of each model are evaluated using data of manufactured PV panels. Then, a novel model is proposed showing its consistent performance. The most three key parameters of single-diode model are self revised to adapt to various type of PV modules. This new method is verified in three types of PV panels' data measured by National Renewable Energy Laboratory (NREL), US. The validated data show promising results when the error RMSEs' range of the proposed model is under 0.36.

ACS Style

Tuyen Nguyen-Duc; Huy Nguyen-Duc; Thinh Le-Viet; Hirotaka Takano. Single-diode Models of PV Modules: A Comparison of Conventional Approaches and Propose a Novel Model. 2020, 1 .

AMA Style

Tuyen Nguyen-Duc, Huy Nguyen-Duc, Thinh Le-Viet, Hirotaka Takano. Single-diode Models of PV Modules: A Comparison of Conventional Approaches and Propose a Novel Model. . 2020; ():1.

Chicago/Turabian Style

Tuyen Nguyen-Duc; Huy Nguyen-Duc; Thinh Le-Viet; Hirotaka Takano. 2020. "Single-diode Models of PV Modules: A Comparison of Conventional Approaches and Propose a Novel Model." , no. : 1.

Conference info
Published: 01 February 2020 in Energy Reports
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Operation schedule for microgrids has an important role to manage the electric power supply and demand efficiently. This paper presents a problem formulation and its solution method to obtain a coordinated operation schedule of controllable components in the microgrids. In the problem formulation, uncertainty originated from variable renewable energy sources is introduced. By utilizing characteristics of the formulated problem, dimension of its solution space is reduced, and thus a combined solution method of binary particle swarm optimization and quadratic programming is applicable in the proposed solution method. Validity of the authors’ proposal is verified through discussions on numerical results.

ACS Style

Hirotaka Takano; Ryota Goto; Thin Zar Soe; Hiroshi Asano. Coordinated operation schedule of microgrids in consideration of penetration of variable renewable energy sources. Energy Reports 2020, 6, 330 -336.

AMA Style

Hirotaka Takano, Ryota Goto, Thin Zar Soe, Hiroshi Asano. Coordinated operation schedule of microgrids in consideration of penetration of variable renewable energy sources. Energy Reports. 2020; 6 ():330-336.

Chicago/Turabian Style

Hirotaka Takano; Ryota Goto; Thin Zar Soe; Hiroshi Asano. 2020. "Coordinated operation schedule of microgrids in consideration of penetration of variable renewable energy sources." Energy Reports 6, no. : 330-336.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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Distribution system operators (DSOs) inspect electrical components in distribution systems and decide necessary actions for the inspection results to sustain the reliability of power supply. These results have been accumulated in databases as the inspection and the maintenance records. The authors propose to utilize the inspection and the maintenance records in estimation of operating lifetime of newly constructed electrical components in the distribution systems. A decision tree learning analyzes the relationship between attributes of the target components and the operating lifetime obtained by the inspection and the maintenance records, and as a result, constructs a tree-like classification or regression model. The resulting model can estimate the operating lifetime of newly constructed components using the initial information (the set of the attributes) only. Usefulness of the estimation method is verified on actual records stored in a Japanese electric power company. In addition, factors that have strong influence on the operating lifetime are specified by the feature of decision tree.

ACS Style

Hirotaka Takano; Kan Nakae; Tatsuya Tokunaga; Toshihiro Hayashi. Simple Estimation of Operating Lifetime for Electrical Distribution Components Utilizing Their Inspection and Maintenance Records. IFAC-PapersOnLine 2020, 53, 12207 -12212.

AMA Style

Hirotaka Takano, Kan Nakae, Tatsuya Tokunaga, Toshihiro Hayashi. Simple Estimation of Operating Lifetime for Electrical Distribution Components Utilizing Their Inspection and Maintenance Records. IFAC-PapersOnLine. 2020; 53 (2):12207-12212.

Chicago/Turabian Style

Hirotaka Takano; Kan Nakae; Tatsuya Tokunaga; Toshihiro Hayashi. 2020. "Simple Estimation of Operating Lifetime for Electrical Distribution Components Utilizing Their Inspection and Maintenance Records." IFAC-PapersOnLine 53, no. 2: 12207-12212.

Journal article
Published: 24 October 2019 in Future Internet
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Operation scheduling is one of the most practical optimization problems to efficiently manage the electric power supply and demand in microgrids. Although various microgrid-related techniques have been developed, there has been no established solution to the problem until now. This is because the formulated problem becomes a complicated mixed-integer programming problem having multiple optimization variables. The authors present a framework for this problem and its effective solution to obtain an operation schedule of the microgrid components considering their coordination. In the framework, trading electricity with traditional main power grids is included in the optimization target, and uncertainty originating from variable renewable energy sources is considered. In the solution, the formulated problem is reformulated to reduce the dimensions of its solution space, and, as a result, a combined algorithm of binary particle swarm optimization and quadratic programming is applicable. Through numerical simulations and discussions of their results, the validity of the authors’ proposal is verified.

ACS Style

Hirotaka Takano; Ryota Goto; Thin Zar Soe; Nguyen Duc Tuyen; Hiroshi Asano. Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components. Future Internet 2019, 11, 223 .

AMA Style

Hirotaka Takano, Ryota Goto, Thin Zar Soe, Nguyen Duc Tuyen, Hiroshi Asano. Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components. Future Internet. 2019; 11 (11):223.

Chicago/Turabian Style

Hirotaka Takano; Ryota Goto; Thin Zar Soe; Nguyen Duc Tuyen; Hiroshi Asano. 2019. "Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components." Future Internet 11, no. 11: 223.

Articles
Published: 01 January 2019 in Journal of International Council on Electrical Engineering
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This paper presents an estimation method of operating lifetime for electric power components, such as electric poles and pole transformers, utilizing massive records on their inspection and maintenance. The proposed method analyzes initial information, which is easily available, and real historical records of the inspection and measures for the inspection (maintenance) storing the database in an electric power company (e.g. 1.4 million and 53.4 thousand cases in the concrete electric poles). Subsequently, lifetime estimation models on each component are constructed using relationship between the initial conditions and the taking measures in the maintenance record. This method is aiming to apply on expansion planning phase of the power grid, and therefore the initial conditions are only used as its input in estimation process. Through numerical simulations, it was confirmed that accuracy of the lifetime estimation exceeds 70% (approximately 7 years). In addition, factors, which have an influence on the operating lifetime of the target component in process of lifetime estimation were clarified.

ACS Style

Ryuhei Shiomi; Hironobu Shimasaki; Hirotaka Takano; Hisao Taoka. A study on operating lifetime estimation for electrical components in power grids on the basis of analysis of maintenance records. Journal of International Council on Electrical Engineering 2019, 9, 45 -52.

AMA Style

Ryuhei Shiomi, Hironobu Shimasaki, Hirotaka Takano, Hisao Taoka. A study on operating lifetime estimation for electrical components in power grids on the basis of analysis of maintenance records. Journal of International Council on Electrical Engineering. 2019; 9 (1):45-52.

Chicago/Turabian Style

Ryuhei Shiomi; Hironobu Shimasaki; Hirotaka Takano; Hisao Taoka. 2019. "A study on operating lifetime estimation for electrical components in power grids on the basis of analysis of maintenance records." Journal of International Council on Electrical Engineering 9, no. 1: 45-52.

Articles
Published: 01 January 2019 in Journal of International Council on Electrical Engineering
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Wind turbine generation systems (WTs) normally do not have mechanisms to control their output, so that the growth in WT penetration has brought difficulty in the frequency control operation of power grids. This paper presents a frequency adjustment mechanism for the WTs consisting of the following controllers: an active power controller, a governor controller, a pseudo synchronization controller and a pitch angle controller. The governor and the synchronization controllers calculate a correction value to make variability of the WT output in response to its share of power generation. Besides, the pitch angle controller is customized from a viewpoint of relaxing restraint in the frequency adjustment mechanism. By these controllers, the proposed mechanism supplies the frequency adjustability to the power grid in consideration of the actual WT output while effectively suppressing the rapid change of rotor angular speed. Through numerical simulations and discussions on their results, validity of the authors’ proposal is verified.

ACS Style

Ryo Yawata; Hirotaka Takano; Shunya Tanaka; Hisao Taoka; Takashi Yasuhara; Yan Qingyuan; Mutsumi Aoki. A study on frequency adjustment mechanism for wind turbine generation systems. Journal of International Council on Electrical Engineering 2019, 9, 113 -122.

AMA Style

Ryo Yawata, Hirotaka Takano, Shunya Tanaka, Hisao Taoka, Takashi Yasuhara, Yan Qingyuan, Mutsumi Aoki. A study on frequency adjustment mechanism for wind turbine generation systems. Journal of International Council on Electrical Engineering. 2019; 9 (1):113-122.

Chicago/Turabian Style

Ryo Yawata; Hirotaka Takano; Shunya Tanaka; Hisao Taoka; Takashi Yasuhara; Yan Qingyuan; Mutsumi Aoki. 2019. "A study on frequency adjustment mechanism for wind turbine generation systems." Journal of International Council on Electrical Engineering 9, no. 1: 113-122.

Articles
Published: 01 January 2019 in Journal of International Council on Electrical Engineering
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Electric power companies are storing massive records such as results of inspection and maintenance through their daily operations. Although the massive records have been expecting to utilize for efficiency improvement of the power grid operations and planning, applications of the massive records have been limited in a small portion until now. The authors analyse 3.0 million sets of inspection scores and 0.9 million cases of their measures (need follow-up observation, or need repair or replacement) that have been actually stored in an electric power company. Moreover, based on the analysis results, a decision support model is constructed for judging maintenance necessity (need repair or replacement) in response to the inspection scores. A decision tree analysis, which represents its decisions and decision-making process visually and explicitly, is applied in the process. Usefulness of the authors’ proposal is verified through numerical simulations and discussions on their results.

ACS Style

Hironobu Shimasaki; Shiomi Ryuhei; Hirotaka Takano; Hisao Taoka. A study on maintenance decision support for power grid components using their inspection and maintenance records. Journal of International Council on Electrical Engineering 2019, 9, 38 -44.

AMA Style

Hironobu Shimasaki, Shiomi Ryuhei, Hirotaka Takano, Hisao Taoka. A study on maintenance decision support for power grid components using their inspection and maintenance records. Journal of International Council on Electrical Engineering. 2019; 9 (1):38-44.

Chicago/Turabian Style

Hironobu Shimasaki; Shiomi Ryuhei; Hirotaka Takano; Hisao Taoka. 2019. "A study on maintenance decision support for power grid components using their inspection and maintenance records." Journal of International Council on Electrical Engineering 9, no. 1: 38-44.

Journal article
Published: 12 December 2018 in IFAC-PapersOnLine
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Demand response program (DR) is expected as one of the most effective alternatives to the traditional power supply-demand operations because it does not require additional investment in power plants and equipment. However, there is still room for discussion on setting of electricity price and rebate level with ensuring resources. This paper presents a pricing method for the DRs based on an idea of social welfare maximization. In the proposed method, decrement of the consumers’ comfort, which is caused by the DR cooperation, is calculated as the appropriate incentive payment. That is, the authors evaluate the negative consumer surplus, and convert it into the incentive payment in the DRs. Meanwhile, the limit of DR requirement is estimated in accordance with the resulting decrement of suppliers’ benefit. Through discussions on numerical results, usefulness of the authors’ proposal is verified.

ACS Style

Takano Hirotaka; Tanonaka Naoto; Kikuda Shou; Ohara Atsumi. A Design Method for Incentive-based Demand Response Programs Based on a Framework of Social Welfare Maximization. IFAC-PapersOnLine 2018, 51, 374 -379.

AMA Style

Takano Hirotaka, Tanonaka Naoto, Kikuda Shou, Ohara Atsumi. A Design Method for Incentive-based Demand Response Programs Based on a Framework of Social Welfare Maximization. IFAC-PapersOnLine. 2018; 51 (28):374-379.

Chicago/Turabian Style

Takano Hirotaka; Tanonaka Naoto; Kikuda Shou; Ohara Atsumi. 2018. "A Design Method for Incentive-based Demand Response Programs Based on a Framework of Social Welfare Maximization." IFAC-PapersOnLine 51, no. 28: 374-379.

Journal article
Published: 01 January 2018 in Journal of International Council on Electrical Engineering
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This paper presents a problem framework and its solution method to determine the cooperative operation plan of controllable generators (CGs) and batteries in microgrids. In the problem formulation, the authors emphasize the operational penalty of microgrids’ operation, and then provide additional alternatives for microgrid operators. Specifically, the supply-demand balancing constraint is relaxed and integrated into the objective function as a penalty term. Here, the penalty means the amount of electricity trading with the main power grid. The objective function is designed as to minimize the total operation costs which consist of the sum of the operation costs of microgrid and the extra cost for compensating the imbalance. Moreover, the optimal operation plan is determined by an enumeration-based binary particle swarm optimization algorithm (enumeration-based BPSO). In the results of simulations, it is confirmed that the batteries perform the load shifting and reduce reserve shortfalls together with incurred fuel costs for minimizing the total operation costs.

ACS Style

Thin Zar Soe; Hirotaka Takano; Shiomi Ryuhei; Hisao Taoka. Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators. Journal of International Council on Electrical Engineering 2018, 8, 104 -111.

AMA Style

Thin Zar Soe, Hirotaka Takano, Shiomi Ryuhei, Hisao Taoka. Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators. Journal of International Council on Electrical Engineering. 2018; 8 (1):104-111.

Chicago/Turabian Style

Thin Zar Soe; Hirotaka Takano; Shiomi Ryuhei; Hisao Taoka. 2018. "Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators." Journal of International Council on Electrical Engineering 8, no. 1: 104-111.

Journal article
Published: 01 January 2018 in Journal of International Council on Electrical Engineering
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Demand response programs (DRs) have been getting more active as one of the effective demand-side management methods (DSMs), which can contribute to the power supply-demand balancing operations in electric power grids. In particular, peak-time-rebate-DR (PTR-DR) is expected to penetrate further because it brings benefit both electric power suppliers and consumers with smaller burden on the consumer-side in comparison with the other DR types. Although several demonstrative field tests on the DRs have been promoted, there is room for discussion yet how to set the appropriate incentive payment for the cooperation of DR requirement from the power suppliers. This paper presents a pricing method of incentive payment in the DRs based on a problem framework of social optimization. In the authors’ proposal, decrement of the consumers’ comfort, which is caused by the DR cooperation, is converted into the price. That is, the proposed pricing method calculates the negative consumers’ surplus as the appropriate incentive payment in the DRs.

ACS Style

Hirotaka Takano; Asuka Kudo; Hisao Taoka; Atsumi Ohara. A basic study on incentive pricing for demand response programs based on social welfare maximization. Journal of International Council on Electrical Engineering 2018, 8, 136 -144.

AMA Style

Hirotaka Takano, Asuka Kudo, Hisao Taoka, Atsumi Ohara. A basic study on incentive pricing for demand response programs based on social welfare maximization. Journal of International Council on Electrical Engineering. 2018; 8 (1):136-144.

Chicago/Turabian Style

Hirotaka Takano; Asuka Kudo; Hisao Taoka; Atsumi Ohara. 2018. "A basic study on incentive pricing for demand response programs based on social welfare maximization." Journal of International Council on Electrical Engineering 8, no. 1: 136-144.