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Peer-to-Peer Multi-Energy Trading Among Heterogeneous Building Prosumers via asynchronous distributed algorithm

IEEE TRANSACTIONS ON SMART GRID 2025年第2期16卷 1590-1603页

作者： Jin, Xiaolong Wang, Xiaoyu Jia, Hongjie Mu, Yunfei Wu, Qiu-Wei Wei, Wei Tianjin Univ Key Lab Smart Grid Minist Educ Key Lab Smart Energy & Informat Technol Tianjin Mu Tianjin 300072 Peoples R China StateGrid Jibei Elect Power Co Ltd Res Inst Dept Smart Grid & New Energy Beijing 100045 Peoples R China

Smart buildings in the integrated community energy system (ICES) are normally equipped with distributed energy resources (DERs), thereby creating building prosumers with both energy production and consumption. Peer-to-peer (P2P) energy trading among building prosumers can bring higher economic benefits for them. Therefore, a P2P multi-energy trading scheme among building prosumers is proposed, which fully explores the flexibility of buildings' heating loads based on the thermal dynamics of buildings with different thermal insulation properties. Each building prosumer is heterogeneous in terms of its computation and communication infrastructures. This results in a heavy computation burden with the traditional centralized method. To improve the computational efficiency for P2P trading among heterogeneous building prosumers, an asynchronous distributed algorithm based on alternating direction method of multipliers (ADMM) is developed to enable each prosumer to trade energy asynchronously instead of waiting for the trading information from others with poor infrastructure. This asynchronous procedure integrated with the prediction and anomaly detection steps can further accelerate the convergence speed of P2P trading. Simulation results verify the effectiveness of the proposed trading scheme and the feasibility and solution optimality of the proposed algorithm.

关键词： Buildings Heating systems Resistance heating Water heating Optimization Indexes Insulation Electricity distributed algorithms Convex functions P2P multi-energy trading buildings' heating loads heterogeneous asynchronous distributed algorithm ADMM

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Convergence Analysis of distributed Generalized Nash Equilibria Seeking algorithm With Asynchrony and Delays

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2025年第1期70卷 642-648页

作者： Li, Huaqing Ran, Liang Zheng, Lifeng Li, Zhe Hu, Jinhui Li, Jun Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China Cent South Univ Dept Automat Changsha 410083 Peoples R China City Univ Hong Kong Dept Biomed Engn Kowloon Hong Kong Peoples R China Shenzhen Univ Adv Technol Fac Comp Sci & Control Engn Shenzhen 518055 Peoples R China

This article considers a class of noncooperative games in which the feasible decision sets of all players are coupled together by a coupled inequality constraint. Adopting the variational inequality formulation of the game, we first introduce a new local edge-based equilibrium condition with full information. Considering challenges when communication delays occur, we then devise an asynchronous distributed algorithm to seek a generalized Nash equilibrium. This asynchronous scheme arbitrarily activates one player to start new computations independently at different iteration instants, which means that the picked player can use the involved outdated information from itself and its neighbors to perform new updates. In theoretical aspect, we provide explicit conditions on algorithm parameters, for instance, the step-sizes to establish a sublinear convergence rate for the synchronous version. Next, the asynchronous algorithm guarantees almost sure convergence in expectation under the same step-size conditions and some standard assumptions. Finally, the viability and performance of the proposed algorithm are demonstrated by numerical studies on the Cournot competition.

关键词： Games Convergence Vectors Heuristic algorithms Delays Standards distributed algorithms asynchronous distributed algorithm delay communication generalized Nash equilibria (GNE) noncooperative games operator splitting

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asynchronous distributed Downlink Beamforming and Power Control in Multi-Cell Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2014年第7期13卷 3892-3902页

作者： Shen, Siduo Lok, Tat-Ming Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

In this paper, we consider a multi-cell network where every base station (BS) serves multiple users with an antenna array. Each user is associated with only one BS and has a single antenna. Assume that only long-term channel state information (CSI) is available in the system. The objective is to minimize the network downlink transmission power needed to meet the users' signal-to-interference-plus-noise ratio (SINR) requirements. For this objective, we propose an asynchronous distributed beamforming and power control algorithm, which provides the same optimal solution as given by centralized algorithms. To design the algorithm, the power minimization problem is formulated mathematically as a non-convex problem. For distributed implementation, the non-convex problem is cast into the dual decomposition framework. Resorting to the theory about matrix pencil, a novel asynchronous iterative method is proposed for solving the dual of the non-convex problem. The methods for beamforming and power control are obtained by investigating the primal problem. Finally, simulation results are provided to demonstrate the convergence and performance of the algorithm.

关键词： asynchronous distributed algorithm coordinated beamforming coordinated multipoint (CoMP) transmission dual decomposition matrix pencil

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asynchronous distributed Joint Optimization in Wireless Multi-Hop Networks

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IEEE COMMUNICATIONS LETTERS 2015年第9期19卷 1620-1623页

作者： Liu, Jain-Shing Lin, Chun-Hung Richard Providence Univ Dept Comp Sci & Informat Engn Taichung 433 Taiwan Natl Sun Yat Sen Univ Dept Comp Sci & Engn Kaohsiung 804 Taiwan Natl Sun Yat Sen Univ Elect Commerce Res Ctr Kaohsiung 804 Taiwan

In this work, we resolve a cross-layer distributed optimization problem in wireless multi-hop networks that can jointly maximize network lifetime and optimize system utility. For this problem, even a synchronous distributed algorithm would be unacceptable due to simultaneous computations required and a global order of transmission to be known in advance. Therefore, we derive an edge-based formulation for consensus agreement on the variables involved, and develop an asynchronous decentralized algorithm specific to the joint optimization problem based on alternating direction method of multipliers (ADMM). Our numerical results show that the ADMM-based algorithm can make a good trade-off between the heterogeneous optimization objectives with excellent computational efficiency, and exhibit that the algorithm can converge faster to a stable solution than a gossip-based algorithm for the same aim, and as efficiently as the synchronous counterpart.

关键词： Cross-layer optimization alternating direction method of multipliers asynchronous distributed algorithm

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asynchronous Decomposition Method for the Coordinated Operation of Virtual Power Plants

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IEEE TRANSACTIONS ON POWER SYSTEMS 2023年第1期38卷 767-782页

作者： Wang, Qi Wu, Wenchuan Wang, Bin Wang, Guannan Xi, Yanna Liu, Haitao Wang, Shu Zhang, Jun Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China State Grid Jibei Elect Power Co Ltd Beijing 100054 Peoples R China State Grid Beijing Elect Power Co Ltd Beijing 100031 Peoples R China

Virtual Power Plant (VPP) aggregates and coordinates community-owned renewable distributed generations (DGs) and flexibility resources for participating in power system operation. In this paper, the coordinated operation problem of VPPs and the distribution system operator (DSO) is formulated as minimizing the total operational cost constrained by linearized three-phase power flow equations and operational constraints. To preserve the VPPs' privacy, the DSO needs to coordinate the VPPs in a distributed manner. However, conventional synchronous distributed methods may suffer from communication delays or failures because of the flimsy communication conditions between DSO and VPPs. We propose an asynchronous distributed algorithm that is robust against communication uncertainties. Firstly, a hybrid alternative direction method of multipliers (ADMM) algorithm is developed, which can be applied to convex problems with promising convergence performance. In the hybrid ADMM framework, the delayed or missing data that transmitted from VPPs are compensated by a novel predicting algorithm combining the multi-parameter quadratic programming (MPQP) and autoregressive integrated moving average model (ARIMA). We prove that the proposed algorithm can converge under imperfect communication condition with some mild assumptions. Numerical tests on IEEE 33-bus and IEEE 123-bus systems indicate that the proposed method has more reliable and faster convergence performance than existing asynchronous methods in all cases.

关键词： Virtual power plant asynchronous distributed algorithm multi-parameter programming

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distributed algorithms for a Replication Problem of Popular Network Data

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JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT 2016年第1期24卷 34-56页

作者： Jiang, Xiaofeng Li, Jun Xi, Hongsheng Univ Sci & Technol China Dept Automat Hefei 230021 Peoples R China

The replication of popular data objects can effectively reduce the access time and bandwidth requirements of network services. We study the replication problem in the model of distributed replication groups and propose two distributed algorithms: an approximation optimal replication algorithm, which is an asynchronous distributed algorithm as it takes more time to be completed. However its performance approaches the optimal algorithm, and a fast replication algorithm that is very suitable as the initial algorithm of the approximation optimal algorithm. We give a proof of the complexity of the algorithms, and show that the time and communication complexities of the algorithms are polynomial with respect to the number of objects and the maximum storage capacities of the servers. Finally, simulation experiments are performed to investigate the performance of the algorithms, and the results show that the two algorithms can effectively solve the replication problem.

关键词： Replication of popular data Access cost distributed replication group asynchronous distributed algorithm

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An asynchronous Peer-to-Peer Energy Trading among Heterogeneous Low-Carbon Building Prosumers

An Asynchronous Peer-to-Peer Energy Trading among Heterogene...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Wang, Xiaoyu Jia, Hongjie Jin, Xiaolong Mu, Yunfei Wei, Wei Yu, Xiaodan Liang, Shuo Tang, Wanxin Tianjin Univ Minist Educ Key Lab Smart Grid Tianjin 30072 Peoples R China Tianjin Univ Key Lab Smart Energy & Informat Technol Tianjin M Tianjin 30072 Peoples R China

ISBN: (纸本)9798350381849;9798350381832

Low-carbon buildings (LCBs) are normally equipped with distributed energy resources (DERs), thereby creating LCB prosumers with capacities for energy production and consumption. Peer-to-Peer (P2P) energy trading among LCB prosumers could bring higher economic benefits for themselves. To fully harness the potential benefits of LCBs in P2P energy trading, an asynchronous P2P energy trading method among heterogeneous LCB prosumers is proposed in this paper. The flexibility of heating loads of LCBs is fully exploited to benefit LCB prosumers in P2P energy trading by using the thermal dynamics of LCBs. Additionally, each LCB prosumer is heterogeneous in terms of the energy resources configuration and communication network infrastructure, which causes the heavy computation and communication burden using the traditional solution method. To improve the computational efficiency, an asynchronous distributed algorithm based on alternating direction method of multipliers (ADMM) is introduced to enable each LCB prosumer to trade energy asynchronously with no need to wait for the trading information from other LCB prosumers with poor communication network infrastructure. This asynchronous procedure significantly reduces the computation time of P2P energy trading. Simulation results verify the effectiveness of the proposed method and the feasibility of the proposed algorithm.

关键词： P2P energy trading low-carbon buildings heterogenous LCB prosumers asynchronous distributed algorithm ADMM

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