Online Decentralized and Cooperative Dispatch for Multi-Microgrids

Online Decentralized and Cooperative Dispatch for Multi-Microgrids
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多微电网在线分散协同调度

DOI:
10.1109/tase.2019.2923986
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发表时间:
2020-01
影响因子:
5.6
通讯作者:
Jiang Wu
Jiang Wu
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yu Lan;Xiaohong Guan;Jiang Wu

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微电网通常与分布式可再生能源相关联,在减少传统能源需求和二氧化碳排放方面发挥着关键作用。将多个微电网连接到电网可以促进更强大和可靠的运行。微电网既需要分散调度,又有安全和隐私的要求,同时又需要相互配合,以满足电网的约束。本文研究了在线分散协同调度问题。为了捕捉风能和太阳能发电的随机性和系统动力学,我们将问题表述为分散的马尔可夫决策过程(Dec-MDP)。通过构造具有合理空间复杂度和时间复杂度的初始可行策略,提出了一种计算近似q值函数的新方法。为了不减慢在线决策速度,将贝叶斯博弈(BGs)应用于具有延迟通信的分散调度模型。同时,基于近似q值函数,采用交替极小化方法求解该问题。数值结果表明,该算法在减少状态空间和计算时间,达到实时调度要求方面非常有效。针对并网模式下多微电网分散调度的问题,我们考虑了在线分散运行,并特别关注电网配线功率波动问题。由于可再生能源发电的随机性、多个微电网的全局约束以及阶段间的相关性,这一问题具有挑战性。我们将分散调度问题建模为滚动地平线Dec-MDP,并给出了一种近似求解方法,即在线阶段不同微网之间交替最小化,离线准备阶段计算近似值函数。近似值函数使在线决策变成一个单阶段的分散决策问题。基于延迟通信的在线决策计算是为了保证所有微电网在接收到相关信息的同时,能够立即开始行动。希望本文能对多个微电网连接到同一互联点时的配线功率波动稳定问题有所启示。
Microgrid usually associated with distributed renewable energy sources plays a key role in reducing the requirement of traditional power sources and the emission of CO2. Connecting multiple microgrids to the electric power grid can facilitate a more powerful and reliable operation. Microgrids need decentralized dispatch with the requirement of security and privacy, and at the same time, they need to cooperate to satisfy the constraints from the power grid. We consider online decentralized and cooperative dispatch problem in this paper. In order to capture the randomness in the wind and solar power generation and the system dynamics, we formulate the problem as a decentralized Markov decision process (Dec-MDP). We propose a new method to calculate the approximate Q-value functions by constructing the initial feasible policy with reasonable space and time complexity. Bayesian games (BGs) is applied to model the decentralized dispatch with delayed communication in order not to slow down the online decision-making. Also, the alternating minimization method is used to solve this BGs based on the approximate Q-value functions. Numerical results demonstrate that the proposed algorithm is very effective in reducing the state space and computing time and achieving the requirement of real-time scheduling. Note to Practitioners—Motivated by the problem of decentralized dispatch of multi-microgrids in grid-connected mode, we consider the online decentralized operation and pay special attention to the grid tie-line power fluctuation. This problem is challenging due to the randomness of the renewable power generation, the global constraints about multiple microgrids, and the correlation among stages. We model the decentralized dispatch problem as a rolling horizon Dec-MDP and provide an approximate solution method, namely, alternately minimizing among different microgrids at the online stage and calculating approximate value functions in the offline preparation process. The approximate value functions make the online decision turn out to be a single-stage decentralized decision problem. Online decision calculation based on delayed communication is to guarantee all the microgrids to start conducting an action immediately while receiving the information related to them. We hope this paper brings insight onto the tie-line power fluctuation stabilization while multiple microgrids connecting to the same point of interconnection.
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