Economic Storage Sharing Framework: Asymmetric Bargaining-Based Energy Cooperation

Cui, Shichang; Wang, Yan-Wu; Liu, Xiao-Kang; Wang, Zhuo; Xiao, Jiang‐Wen

doi:10.1109/tii.2021.3053296

Cited by 55 publications

(21 citation statements)

References 30 publications

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“…The theoretical basis of non-cooperative games is individual rationality, where the interests of the alliance cannot constrain individual decisions. The main goal of non-cooperative games is to solve the Nash equilibrium, and common modeling methods include master-slave games (Tushar et al, 2016;Mediwaththe et al, 2020;Kuang et al, 2020;Huang et al, 2022;Shuai et al, 2022), auctions (Brijs et al, 2016;Zaidi et al, 2018;Sun et al, 2020;Wu et al, 2021;Wu et al, 2022), and other models (Cui et al, 2021a;Xiao et al, 2022;Zheng et al, 2022). The master-slave game describes the optimal strategy between the shared energy storage operator (master) and participant (slave).…”

Section: Allocation Based On Non-cooperative Gamesmentioning

confidence: 99%

Battery energy scheduling and benefit distribution models under shared energy storage: A mini review

2023

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Energy storage solutions are strategically important for achieving carbon neutrality and carbon peaking goals. However, high installation costs, demand mismatch, and low equipment utilization have prevented the large-scale commercialization of traditional energy storage. The shared energy storage mode that relies on sharing economy can effectively overcome these problems and has recently attracted widespread attention. In this mini-review, firstly, the concept of shared energy storage is discussed and its application in different countries is illustrated. Second, two core issues in the shared energy storage research—optimal energy scheduling and rational profit distribution—are sorted out and the common modeling approaches and solving algorithms are summarized. Additionally, the dilemma of balancing energy efficiency with distribution fairness faced by the practical application of shared energy storage is pointed out. On this basis, blockchain technology is pointed out to solve the above dilemma of shared energy storage and key directions are given for future research.

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Section: Allocation Based On Non-cooperative Gamesmentioning

confidence: 99%

Battery energy scheduling and benefit distribution models under shared energy storage: A mini review

2023

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“…Firstly, calculate the total trading electricity amount of each participant according to (). Furthermore, an exponential function () is selected to form a non‐linear mapping function to describe the negotiation ability d v of each participant according to the contribution, which is a common approach widely used in previous researches [32]

\begin{equation}E = \sum_{t = 1}^T {\left[ {s_tP_{buy,t} + (1 - s_t)P_{sell,t}} \right]} \end{equation}

\begin{equation} {d}_v = \exp \left({E}_v/\sum_{v = 1}^V {{E}_v}\right )\end{equation}

…”

Section: Design and Implementation Of The Coordinated Dispatch Frameworkmentioning

confidence: 99%

“…The dispatch scheme of the power system can be seen as a security-constrained economic dispatch (ED) model, which can be described by (28) to (32). Here, (28) represents the sum of electricity and wind power generation costs and curtailment penalty costs.…”

Section: Optimal Dispatch Scheme Of the Power Systemmentioning

confidence: 99%

“…In fact, wind power curtailment penalty costs are widely used in dispatched model [22,23]. Equation ( 29) represents constraints of unit commitment, which is written in a compact form to distinguish from constraints associated with self-served power plants; (30) represents constraints of line power; (31) represents the constraints of power balance considering uncertainties of both source and load sides; (32) represents the constraint of system rotation reserve.…”

Section: Optimal Dispatch Scheme Of the Power Systemmentioning

confidence: 99%

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Enhanced flexibility utilization and coordinated dispatch method of energy‐intensive enterprises in power systems under time of use prices

Niu,

Li,

Fang

2023

IET Renewable Power Gen

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Power system can utilize the flexibility provided by energy‐intensive enterprises (EIEs) for large‐scale renewable energy penetration. However, system operators cannot obtain the manufacture scheme of EIEs due to business privacy protection. Furthermore, highly regulated electricity prices further restrict the flexible utilization of EIEs. To overcome these issues, a coordinated dispatch framework between power system and EIEs under the intrinsic time of use (TOU) prices is designed in this paper, which requires only several boundary information for interaction. Firstly, the mathematical formulation of EIEs is given based on the inherent features analysis of typical production equipment and the optimal operation scheme of EIEs can be obtained. Then, considering uncertainties of both source and loads, the purchasing energy of EIEs from the network can be adjusted through the designed framework to track renewable energy dynamics and the clear equivalence class method is used to solve fuzzy chance constrained programming. Next, the improved Asymmetric Nash Bargaining (ANB) method is adopted to carry out the distribution of benefits. Finally, a modified IEEE‐30 test system is given to verify the feasibility of the proposed method, which can effectively improve the regional consumption level of renewable energy and ensure interests of all sides.

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“…To circumvent the possibly heavy computation of Shapley value and nucleolus, [81][82][83][84][85] adopted the Nash bargaining model. Ad hoc designs were also made for the sharing of energy storage [86] or among aggregator-managed agents [87].…”

Section: Referencesmentioning

confidence: 99%

Review of energy sharing: Business models, mechanisms, and prospects

Chen

Zhao

2022

IET Renewable Power Gen

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The development of distributed generation technology is endowing consumers the ability to produce energy and transforming them into "prosumers". This transformation shall improve energy efficiency and pave the way to a low-carbon future. However, it also exerts critical challenges on system operations, such as the wasted backups for volatile renewable generation and the difficulty to predict behaviour of prosumers with conflicting interests and privacy concerns. An emerging business model to tackle these challenges is energy sharing, whose concepts, structures, applications, models, and designs are thoroughly reviewed in this paper, with an outlook of future research to better realise its potentials.

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Economic Storage Sharing Framework: Asymmetric Bargaining-Based Energy Cooperation

Cited by 55 publications

References 30 publications

Battery energy scheduling and benefit distribution models under shared energy storage: A mini review

Battery energy scheduling and benefit distribution models under shared energy storage: A mini review

Enhanced flexibility utilization and coordinated dispatch method of energy‐intensive enterprises in power systems under time of use prices

Review of energy sharing: Business models, mechanisms, and prospects

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