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| 1 | Fully distributed control to coordinate charging efficiencies for energy storage systems显示文摘This study proposes a novel fully distributed coordination control(DCC) strategy to coordinate charging efficiencies of energy storage systems(ESSs). To realize this fully DCC strategy in an active distribution system(ADS) with high penetration of intermittent renewable generation, a two-layer consensus algorithm is proposed and applied. It collects global information in the first layer and achieves pinning-based DCC in the second layer. Basic objectives of the proposed DCC for ESSs are: à to coordinate the ESSs and improve efficiency using associated marginal charging costs(MCCs) in a fully distributed manner; ` to reduce local power mismatch and power transmission losses; ′ to adapt to unintentional communication topology changes. The effectiveness and adaptability of the proposed DCC approach are both validated by simulation results. | Wei LIU Wei GU Xiaodong YUAN Kaifeng ZHANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，5： | 4 |
| 2 | ADMM-based Distributed Algorithm for Economic Dispatch in Power Systems With Both Packet Drops and Communication Delays显示文摘By virtue of alternating direction method of multipliers(ADMM), Newton-Raphson method, ratio consensus approach and running sum method, two distributed iterative strategies are presented in this paper to address the economic dispatch problem(EDP) in power systems. Different from most of the existing distributed ED approaches which neglect the effects of packet drops or/and time delays, this paper takes into account both packet drops and time delays which frequently occur in communication networks. Moreover, directed and possibly unbalanced graphs are considered in our algorithms, over which many distributed approaches fail to converge. Furthermore, the proposed schemes can address the EDP with local constraints of generators and nonquadratic convex cost functions, not just quadratic ones required in some existing ED approaches. Both theoretical analyses and simulation studies are provided to demonstrate the effectiveness of the proposed schemes. | Qing Yang Gang Chen Ting Wang | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，3： | 4 |
| 3 | Asynchronous consensus for optimal power flow control in smart grid with zero power mismatch显示文摘The heterogeneous nature of smart grid components and the desire for smart grids to be scalable,stable and respect customer privacy have led to the need for more distributed control paradigms. In this paper we provide a distributed optimal power flow solution for a smart distribution network with separable global costs, separable non-convex constraints, and inseparable linear constraints,while considering important aspects of network operation such as distributed generation and load mismatch, and nodal voltage constraints. An asynchronous averaging consensus protocol is developed to estimate the values of inseparable global information. The consensus protocol is then combined with a fully distributed primal dual optimization utilizing an augmented Lagrange function to ensure convergence to a feasible solution with respect to power flow and power mismatch constraints. The presented algorithm uses only local and neighbourhood communication to simultaneously find the mismatch between power generation, line loss and loads, to calculate nodal voltages,and to minimize distributed costs, leading to a completely distributed solution of the global problem. An IEEE test feeder system with a reasonable number of nodes is used to illustrate the proposed method and efficiency. | Benjamin S.MILLAR Danchi JIANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，3： | 0 |
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