Optimal Energy Management for Smart Grid System Considering Battery Characteristics

Mukai, Tatsuya; Igari, Shunsuke; Namerikawa, Toru

doi:10.1002/eej.22774

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…DoD is defined as the total amount of energy discharged from a battery divided by the rated capacity. Hence, the battery is rarely fully discharged to maintain its lifetime [38]- [41]. In order to extend the lifetime, the cut-off voltage is set to 11.5V for the training batteries in the electronic load and the testing batteries in the golf cart.…”

Section: Experimental Setup and Proceduresmentioning

confidence: 99%

“…The memory cell is the past time data bridge to the currently available data [36], [37]. The capacity to recall past information makes this method especially useful in solving problems that require long sequential data or time series, such as the SoC and SoH of the battery [38]. LSTM operating principles refer to works [42]- [45], as shown in Figure 4(c) and are described below.…”

Section: B Long Short-term Memory (Lstm) Modelmentioning

confidence: 99%

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Available Capacity Computation Model Based on Long Short-Term Memory Recurrent Neural Network for Gelled-Electrolyte Batteries in Golf Carts

Lai

Kuo

2022

IEEE Access

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A deep neural network model for the investigation of the discharging voltage, temperature, cycle, and state of charge-dependent behavior of gel batteries is presented in this paper. The proposed model utilizes a long short-term memory recurrent neural network to investigate the estimation of the state of charge and the state of health. The model could serve as a management strategy for the Vehicle Service Management Centers to reduce maintenance costs by regulating the battery status, managing the driving paths, adjusting the driving areas, and replacing the batteries in batches. The management strategy utilizes the state of charge and the state of health of gel batteries as key variables in assigning driving paths and areas to golf carts. In the actual on-road experiment, the model successfully tested and verified the state of charge of the gel batteries in the golf cart with a mean absolute error of 0.376% which was better than the feedforward neural network of 2.8% and the recurrent neural network of 1.7%. These results indicate that the model can accurately estimate the state of charge and the remaining service life of batteries which provide clear indicators for the vehicle service management systems. INDEX TERMSVehicle service management system, gelled-electrolyte battery, state of charge (SoC), state of health (SoH), long short-term memory recurrent neural network (LSTM), golf cart. NOMENCLATURE Acronyms: AGM Absorbed Glass Mat. ANN Artificial Neural Network. BMS Battery Management System. CC − CV Constant-Current and Constant-Voltage. DoD Depth of Discharge. EV s Electric Vehicles. FNN Feedforward Neural Network. LEV s Light Electric Vehicles. LSTM Long Short-Term Memory. MAE Mean absolute error. mSoH Measured SoH of the battery system. pSoH Predicted SoH of the battery system.The associate editor coordinating the review of this manuscript and approving it for publication was Wei Liu.

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Section: Experimental Setup and Proceduresmentioning

confidence: 99%

Section: B Long Short-term Memory (Lstm) Modelmentioning

confidence: 99%

Available Capacity Computation Model Based on Long Short-Term Memory Recurrent Neural Network for Gelled-Electrolyte Batteries in Golf Carts

Lai

Kuo

2022

IEEE Access

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“…[4][5][6] Like the central grid, a micro grid can be viewed as a small-scale version of the central electricity system, targeted to meet certain specific goals like consistency, energy supervision, and tariff reduction. 9,10 To effectively implement the smart grid, a model of operation and functionality of the grid must be visualized prior to its implementation; Multi-agent system is one such promising technology that could facilitate the need. 7,8 They provide a more conducive system for the renewable resources to get integrated with the grids and provide accessibility in real time for the customers.…”

mentioning

confidence: 99%

“…7,8 They provide a more conducive system for the renewable resources to get integrated with the grids and provide accessibility in real time for the customers. 9,10 To effectively implement the smart grid, a model of operation and functionality of the grid must be visualized prior to its implementation; Multi-agent system is one such promising technology that could facilitate the need. It has been field trailed in certain applications of smart grid development.…”

mentioning

confidence: 99%

Design and implementation of intelligent energy control for tariff management using multi‐agent system in smart/micro grid

Kumar¹,

Nagarajan²

2018

Concurrency and Computation

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Incorporation of the renewable resources (RR) with regular grid has many challenges like location difference between the renewable energy source and energy distribution point, and characteristic constraints like variability in weather may reduce wind energy, and reduced rain may result in lower hydroelectric energy and so on. In this work, an efficient method is proposed to integrate the RR energy in to the regular power grid. By integrating the RR with conventional energy grid, the user consumption charges can be considerably reduced and, the exploitation of fossil fuels can be gradually reduced. The work also proposes an efficient mechanism to employ real-time tariff management by demand control center that collects the usage information in real-time scale. Experimental simulations are performed using MATLAB/SIMULINK environment. For real-time simulations, fuzzy controller-and TCP/IP-based communication technologies are used. The results show that the proposed work exhibit a better performance against SCADA system, and it shows effective implementation of tariff and energy utility management. KEYWORDS energy control center (ECC) and MATLAB/SIMULINK, fuzzy logic controller (FLC), multi-agent (MA), TCP/IP INTRODUCTIONA key factor in building up a nation's economy and strength is its energy resource. Being a fast growing nation, India's thirst for electric power grows ever increasingly. But in contrary the produced current could not be effectively utilized due to lack of power transmission and distribution infrastructure, in India it is estimated that up to 21% of the energy produced is not being utilized due to this particular constraint. This necessitates the need to develop more efficient and intelligent mechanisms to connect the generating sources with the distribution points, further the efficient distribution of energy reduces the power cost factor and ensures more even functioning of the power system. 1,2Technical advancements in the area of power management systems are growing at large in the recent years. Integration of modern technology in the area of power control, measurement and analysis together with the inclusion of IT and communication technologies had made the power management system to provide more reliable, stable and quality infrastructure. For the record the India's gross power production with respect to the installed capacity as on 30.4.2017 is about 3,29,205 MW out of which 2,20,570 MW is conventional energy and the rest 1,08,635 MW is from renewable energy sources, ie, around 33% is from renewable energy sources and 67% from conventional sources. This clearly indicates the need for research and development in the area of renewable resources. Further in order to capacitate the renewable energy sources with pertinent to restrictions imposed by the government acts, intelligent systems with integrated IT-based communication systems are incorporated to decrease the greenhouse gas emissions and provide a pollution free environment. 3 It is also an important consideration that the power distributi...

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Research on Key Technology of State Evaluation and Replacement Acquisition System of Intelligent Electric Energy Meter Based on Smart Grid

Li¹,

Zheng²,

Chen³

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

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Based on big data technology, the smart meter operation status analysis system uses distributed storage, distributed analysis and calculation, and data mining to integrate the mass of energy meter information in the electricity information collection system, measurement and production scheduling platform, and marketing business system. The data is converted into a smart meter operation status report, which guides the staff to calibrate or rotate the meter, and solves the problem of wasting human and material resources in the current meter management method. The concepts and key technologies of big data technology and data mining are expounded, and the big data platform of the hierarchical structure smart meter operation status analysis system is introduced in detail.

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Optimal Energy Management for Smart Grid System Considering Battery Characteristics

Cited by 5 publications

References 9 publications

Available Capacity Computation Model Based on Long Short-Term Memory Recurrent Neural Network for Gelled-Electrolyte Batteries in Golf Carts

Available Capacity Computation Model Based on Long Short-Term Memory Recurrent Neural Network for Gelled-Electrolyte Batteries in Golf Carts

Design and implementation of intelligent energy control for tariff management using multi‐agent system in smart/micro grid

Research on Key Technology of State Evaluation and Replacement Acquisition System of Intelligent Electric Energy Meter Based on Smart Grid

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