Analysis of storage technologies within smart grid framework

Vatu, Ramona; Ceaki, Oana; Golovanov, Nicolae; Porumb, Radu; Serițan, George

doi:10.1109/upec.2014.6934823

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…The SPEER and its control strategy designed and studied in this paper can be well applied in a Smart Grid/Smart House. The access of distributed power equipment to SPEER makes the power supply of the home power system more flexible and diverse and integrates various renewable energy sources [31]. At the same time, its rich electrical interface better meets the increasing demand for electricity in household appliances, and advanced control strategies ensure the power quality of the system.…”

Section: Discussionmentioning

confidence: 99%

Research on the System and Control Strategy of an AC-DC Hybrid Single-Phase Electric Energy Router

2019

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With the extensive development and use of new energy sources, it has become an urgent issue to solve the problem how to effectively use such energy sources. This paper designs a single-phase electric energy router (SPEER) whose main goal is to solve the problem of optimal operation of the home power system under a high penetration rate of new energy. First, a SPEER structure is presented which has an AC-DC hybrid form to meet the power requirements of all household electrical equipment. Compared with the existing structures, its structural design is more suitable for small-capacity systems, such as home power systems. Next, a reasonable, detailed, and feasible control scheme was designed for each part of the SPEER, so that it has the functions of plug and play, power routing, island detection, and synchronous grid connection, and a seamless coordination management scheme between subsystems was designed. Complete functions make it more intelligent in response to various conditions. Finally, the correctness of the designed SPEER and control strategy was verified by experiment.Electronics 2019, 8, 970 2 of 20 consumers was proposed. By using the distributed hierarchical energy management system (HEMS), energy routing could be achieved to obtain different functions, such as peak load shifting, electricity plan following, etc. However, the HEMS mentioned in the article is cumbersome and impractical. For example, it requires that "users use the human-machine interaction interface such as App. in smartphones to arrange the power consumption time and target". This is obviously not practical, since users' electricity use behavior is often random and uncertain. This requirement is a heavy burden on users. Another study [19] proposed a HEMS based on an energy router. By controlling the switch array, the optimal matching of the power supply and the load is realized, so that the renewable energy is used to the maximum extent. However, this method requires that household appliances are classified according to the degree of sensitivity to the power quality, divided into sensitive and non-sensitive loads, and even the same type of household appliance is different for different people, which complicates the previous planning. At the same time, this solution requires a switch array, which greatly increases the cost. Based on the functional requirements of EER, a preliminary analysis of its structural construction was provided [20,21], but it was only a theoretical analysis, and no specific control scheme and result verification was provided.Combined with existing research, this paper proposes a small-capacity household-level electric energy router architecture. It has a rich electrical interface to meet the needs of various household AC and DC load powers and tries to fully develop new energy sources such as rooftop photovoltaics [22]. Because the entire device uses a decentralized control strategy, distributed power generation equipment and various home appliances can be operated by plug-and-play, and the control is simple and co...

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Section: Discussionmentioning

confidence: 99%

Research on the System and Control Strategy of an AC-DC Hybrid Single-Phase Electric Energy Router

2019

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“…Renewable energy was introduced in this field in order to minimize the electrical power production from combustion-based generators. Related technologies were rapidly developed in order to extract the maximum energy from natural sources under extreme conditions [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Aymen

Mahmoudi

2019

Energies

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Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the city’ host’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles and buildings communication for sharing some special information related to the vehicle status and to the road condition. EVs can share their own information related to the energy experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on bi-communication between vehicles and buildings. The principle of this method is established on two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendation, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and the neural network was employed, for giving the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations were discussed in this approach. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, for showing the efficiency of this approach.

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“…Therefore, the renewable energy field was introduced in order to minimize the electrical power production from the combustion‐based generators . So, technologies were quickly developed in order to extract the maximum of energy from the natural sources in severe cases …”

Section: Introductionmentioning

confidence: 99%

“…4 So, technologies were quickly developed in order to extract the maximum of energy from the natural sources in severe cases. [5][6][7][8] In the transportation systems, electrical energy is necessary especially for electric vehicles and high-speed train. ,However, the power saving problem, for the electric vehicle, still the drawback of this transport system.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Aymen

Mahmoudi

2019

Int J Energy Res

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Summary The communication technologies were evolving rapidly and making everything connected. Peoples, vehicles, and buildings become connected everywhere. Concentrating on the targets that vehicle can be connected with, the present paper exposes a new power management approach applicable for three kinds of connected vehicles. Vehicle to buildings or infrastructure, vehicle to network, and vehicle to vehicle are the three communication protocols between vehicle and external targets. The proposed approach is designed for implementing all of these three communication cases. It is based on the principle of vehicle data sharing. Each vehicle will share a package of data, which contain information related to the vehicle status and the road condition. This information will be collected in a database and used for managing the power inside these cars. This approach is built on two stages; the first one is related to vehicles' classification, and the second one is attached to the recommendation, and this is according to the car position and according to the communication protocol case. The first stage was resolved using the support vector classification method. The second stage was treated using the artificial intelligence principle, and the neural network was employed. So the optimal decision will be outputted. According to the vehicle communication method, the optimal decision will be identified inside the building, infrastructure, vehicle, or the cloud database. This will be related to the vehicle position using the old vehicle's data. So the obtained decission will be transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding area. Different possibilities and situations were discussed in this approach. The power management methodology was verified and confirmed. For showing the efficiency of this approach, a comparison of the obtained results in relation to the battery state of charge and the consumed energy results will be done. Matlab simulink was used for doing the necessary tests.

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Analysis of storage technologies within smart grid framework

Cited by 12 publications

References 8 publications

Research on the System and Control Strategy of an AC-DC Hybrid Single-Phase Electric Energy Router

Research on the System and Control Strategy of an AC-DC Hybrid Single-Phase Electric Energy Router

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

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