Cost-efficient multi-energy management with flexible complementarity strategy for energy internet

Si, Fangyuan; Wang, Jinkuan; Han, Yinghua; Zhao, Qiang; Han, Peng; Li, Yan

doi:10.1016/j.apenergy.2018.09.152

Cited by 59 publications

(16 citation statements)

References 35 publications

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“…where, E transfer (t) is network controller imposed maximum limit of energy transfer over the network at t such that the node voltage does not violate the recommended limit for reliability and security of the network. Note that the parameters in (7) and (8) for each prosumer needs to be chosen carefully to ensure that prosumers can reap maximum benefits from trading without violating any network limits. These could be decided by a regulatory body for prosumers of particular communities that want to involve in P2P trading.…”

Section: ) Utility Of Prosumer At Statementioning

confidence: 99%

A coalition formation game framework for peer-to-peer energy trading

et al. 2020

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This paper studies social cooperation backed peer-to-peer energy trading technique by which prosumers can decide how they can use their batteries opportunistically for participating in the peer-to-peer trading. The objective is to achieve a solution in which the ultimate beneficiaries are the prosumers, i.e., a prosumer-centric solution. To do so, a coalition formation game is designed, which enables a prosumer to compare its benefit of participating in the peer-to-peer trading with and without using its battery and thus, allows the prosumer to form suitable social coalition groups with other similar prosumers in the network for conducting peer-to-peer trading. The properties of the formed coalitions are studied, and it is shown that 1) the coalition structure that stems from the social cooperation between participating prosumers at each time slot is both stable and optimal, and 2) the outcomes of the proposed peerto-peer trading scheme is prosumer-centric. Case studies are conducted based on real household energy usage and solar generation data to highlight how the proposed scheme can benefit prosumers through exhibiting prosumer-centric properties.

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Section: ) Utility Of Prosumer At Statementioning

confidence: 99%

A coalition formation game framework for peer-to-peer energy trading

et al. 2020

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“…Operational strategy of Energy Internet was proposed as a day-ahead energy market to facilitate interaction between energy cells [14,15]. Further, Si et al [25] have proposed an Energy Internet model to optimally schedule energy flow between energy prosumers. They considered electricity and gas coupling model for residential and industrial prosumers participating in the energy market.…”

Section: Energy Internet: Evolution Current Status and Global Contextmentioning

confidence: 99%

Energy Internet, the Future Electricity System: Overview, Concept, Model Structure, and Mechanism

Joseph

Balachandra

2020

Energies

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Energy Internet, a futuristic evolution of electricity system, is conceptualized as an energy sharing network. Its features, such as plug-and-play mechanism, real-time bidirectional flow of energy, information, and money can lead to significant benefits and innovation in electricity production and utilization. Energy Internet integrates small-scale renewable energy systems, electric loads, storage devices, and electric vehicles for effective transaction of power backed by emerging technologies such as Internet of Things, vehicle-to-grid, and blockchain. At present, there is no scaled-up working model of Energy Internet, and literature is scarce, which makes the research in this domain significant, novel, and timely. Given this, an attempt is made to develop the conceptual model of an Energy Internet, elaborate its structure and components, and discuss its operational principles. First, a comprehensive overview of Energy Internet is presented along with its aptness as a future evolution of electricity system. Second, concepts, architectures, and features that underpin Energy Internet are outlined. Third, concept of ‘Energy Intranet’ is introduced to denote the scaled-down version of Energy Internet, which embodies energy prosumers and local energy markets to form a local energy cluster. Finally, discussion is presented on the network structure of Energy Internet, relevance of emerging technologies and innovative operational mechanisms.

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“…Based on the Energy Management System (EMS) for Electric power systems (EPSs), Guo et al (2018) [9] proposed the Integrated Energy Management System (IEMS) as the brain of the EI to manage the multi-energy flow such as electricity, heating, cooling, gas, and transportation. To solve the increasing complexities of energy internet integrated with distributed renewable energy resources, Si et al (2018) [10] deployed a more effective multi-energy management method based on the complementarity of multi-energy demand to explore optimal energy scheduling problems of prosumers. The simulation results of an urban multi-energy system exhibited that the proposed multi-energy management method could efficiently resolve the optimal energy scheduling problems to establish a win-win relationship for prosumers and generate substantial benefits for the whole system.…”

Section: B Smart Energy Network and Problems Solving: Challenges And Enablingmentioning

confidence: 99%

Designing Smart Energy Network Ecosystem for Integrated energy services in urban areas

Dai

Tang

Liu

et al. 2020

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)

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Technologies such as electrification, informatization, and intelligence will reshape the energy form of cities in the future. Energy will become a key link in sustainable development and be integrated into sustainable urban development. Starting from the key elements of the energy system for sustainable urban development, considering urban resource endowment and energy demand, combining future urban forms and technological development, from the perspective of P2C (production to consumption) & C2P (consumption to production), a smart energy network ecosystem created by global partners and stakeholders is proposed. The features of the proposed ecosystem are: (1) the wisdom of various participants, the consideration of the renewable energy resources available in cities and towns, and the waste heat and wastewater available in urban are integrated; (2) the integrated integration of smart grid and energy storage applications; considering the integration of big data, artificial intelligence and other technical means are considered; (3) focusing on the energy supply and consumption needs of the prosumers, we will jointly customize the smart energy network ecosystem, realize the complementary use of multiple clean energy sources and the coordinated response of the source, network, and storage to provide fair and diversified comprehensive energy services for urban users. This paper demonstrates the ecosystem's modelling ideas, principles, methods and logical framework. Based on the case of the Smart Otaniemi project in Espoo, Finland, it analyses the implementation plan of the smart energy network ecosystem to provide support for the sustainable development of towns. I. INTRODUCTIONCoping with megatrends such as climate change and accelerating urbanization, and the development of new technologies such as electrification, informatization, and intelligence, which will reshape the energy form of cities in the future. The large-scale, high-proportion of renewable clean and clean energy with significant randomness, intermittent news, and volatility are connected to the power grid at the energy supply side, which brings new challenges to the energy system's balanced regulation and safe and stable operation. At the energy demand side, the access of a large number of distributed power sources, micro-grids, electric vehicles, and new interactive energy-using equipment has turned energy consumers into producers and consumers and changed the traditional one-way flow pattern of source-grid-charge-user.

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Cost-efficient multi-energy management with flexible complementarity strategy for energy internet

Cited by 59 publications

References 35 publications

A coalition formation game framework for peer-to-peer energy trading

A coalition formation game framework for peer-to-peer energy trading

Energy Internet, the Future Electricity System: Overview, Concept, Model Structure, and Mechanism

Designing Smart Energy Network Ecosystem for Integrated energy services in urban areas

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