An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining

Wei, Chun; Shen, Zhuzheng; Xiao, Dongliang; Wang, Licheng; Bai, Xiaoqing; Chen, Haoyong

doi:10.1016/j.apenergy.2021.117024

Cited by 87 publications

(25 citation statements)

References 24 publications

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“…Initial parameters of the impedance model can be obtained by solving the minimization problem of the performance criterion and the critical damping condition of the robot-environment interaction system [14]. Uncertainties of the above problem can be considered by the optimization methods, such as robust optimization [15] or stochastic optimization [16]. Then, the parameters can be adjusted online by using intelligent algorithms, such as neural network [14] or adaptive control [17], in practical applications.…”

Section: Introductionmentioning

confidence: 99%

Novel Voltage-Based Weighted Hybrid Force/Position Control for Redundant Robot Manipulators

2022

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Existing hybrid force/position control algorithms mostly explicitly contain a dynamic model. Moreover, force and position controllers will be switched frequently. To solve the above problems, a novel voltage-based weighted hybrid force/position control algorithm is proposed for redundant robot manipulators. Firstly, mapping between voltage and terminal position and orientation is established so that the designed controller can be simplified by adopting the motor current as the feedback to replace the tedious calculation of the dynamic model. Secondly, a voltage-based weighted hybrid force/position control algorithm is proposed to eliminate the selection matrix. Force and position control laws are summed directly through a weighted way to avoid the problems of space decomposition and switching. Thirdly, the stability is proven using Lyapunov stability theory, then the selection method for weighted coefficient is provided. Fourthly, comparative simulations are performed. Results show that the proposed algorithm is suitable for impedance control and hybrid force/position control and can compensate for their deficiencies. Lastly, the transport experiment in the YZ plane is conducted. Results show that position and force accuracies in the Y- and Z-axis directions are 3.489 × 10−4 and 7.313 × 10−4 m and 1.238 × 10−1 and 1.997 × 10−1 N, respectively. Accordingly, it can effectively improve the operation capability and control accuracy.

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Section: Introductionmentioning

confidence: 99%

Novel Voltage-Based Weighted Hybrid Force/Position Control for Redundant Robot Manipulators

2022

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“…MG can operate as an island or be connected to the grid or to other MGs. Moreover, multiple microgrids can also be interconnected to support and trade with each other, as described in [6]. Nowadays, in most countries, there is no possibility, or it is not easy, to implement for the MG to operate as an island.…”

Section: Introductionmentioning

confidence: 99%

Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter

2022

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The growing penetration of Renewable Energy Sources (RES) due to the transition to future smart grid requires a huge number of power converters that participate in the power flow. Each of these devices needs the use of a complex control and communication system, thus a platform for testing real-life scenarios is necessary. Several test techniques have been so far proposed that are subject to a trade-off between cost, test coverage, and test fidelity. This paper presents an approach for testing microgrids, by developing an emulator, with emphasis on the micro-inverter unit and the possibility of flexible configuration for different grid topologies. In contrast to other approaches, our testbed is characterized by small volume and significantly scaled-down voltages for safety purposes. The examination is concentrated specifically on the inverter behavior. The test scenarios include behaviors in case of load changes, transition between grid-tied and islanded mode, connection and removal of subsequent inverters, and prioritization of inverters.

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“…The cheating behaviors are considered in the Nash bargaining-based energy cooperation process and a cheating equilibrium-based solution is also proposed for all participants to ensure that negotiated cooperation can proceed in a stable manner [24]. A generalized Nash bargaining-based solution for peer-to-peer energy trading framework in active distribution network [25] and in interconnected microgrids [26] are deeply studied. In [27], a bargaining-based energy trading framework is proposed, where the participating players are an integrated energy system and electric vehicle charging stations.…”

Section: Introductionmentioning

confidence: 99%

“…In [28], a residual benefit allocation mechanism based on the Nash bargaining game is provided for joint planning between electric vehicle charging stations and the distribution network. The above-mentioned works [20][21][22] mainly focus on the interest relationship between multiple agents and works [24][25][26] mainly focus on the peer-to-peer energy trading framework for prosumers. The remaining works [23,27,28] focuses on the application of the Nash bargaining game to the trading of green certificates or joint planning of distribution grids and so on.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Operation Framework for a Wind-Solar-CCHP Multi-Energy System Based on Nash Bargaining Solution

et al. 2021

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A multi-energy system can supply both electric and thermal energy simultaneously to the end-users to achieve a high energy use-efficiency. However conventional operational strategies for multienergy systems, in the existing works, do not consider renewable energy generation plants and CCHP plants as belonging to different interests. To cope with this problem, this article studies a cooperative operation framework model for a Wind-Solar-CCHP Multi-energy system. Instead of the conventional noncooperative solution-based method, the optimal operation scheduling problem of a multi-energy system is described as an optimization problem of Nash Bargaining. Then the optimization problem of Nash Bargaining for the multi-energy system decomposed into two subproblems: social welfare maximization problem (P1) and energy trading payment problem (P2). The optimal energy transaction profiles can be obtained by solving the P1 problem and the problem of payment of energy trading between PV, WT plant agents and the CCHP plant agent can be obtained by solving the P2 problem. Both problems P1 and P2 can be formulated into mixed-integer linear programming problems and solved by the alternating directional multiplier method. Numerical studies demonstrate the correctness and effectiveness of the proposed cooperative operation framework and distributed algorithm for solving the two subproblems. Moreover, the bargaining-based cooperative operation method can further induce the multi-energy system to improve the operating profit with the reduced feed-in tariff of distributed generation.

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An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining

Cited by 87 publications

References 24 publications

Novel Voltage-Based Weighted Hybrid Force/Position Control for Redundant Robot Manipulators

Novel Voltage-Based Weighted Hybrid Force/Position Control for Redundant Robot Manipulators

Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter

Cooperative Operation Framework for a Wind-Solar-CCHP Multi-Energy System Based on Nash Bargaining Solution

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