Distributed control strategy for transactive energy prosumers in real-time markets

Chen Yin, Ran Ding, Haixiang Xu, Gengyin Li, Xiupeng Chen, Ming Zhou
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引用次数: 5

Abstract

The increasing penetration of distributed energy resources (DERs) has led to increasing research interest in the cooperative control of multi-prosumers in a transactive energy (TE) paradigm. While the existing literature shows that TE offers significant grid flexibility and economic benefits, few studies have addressed the incorporation of security constraints in TE. Herein, a market-based control mechanism in real-time markets is proposed to economically coordinate the TE among prosumers while ensuring secure system operation. Considering the dynamic characteristics of batteries and responsive demands, a model predictive control (MPC) method is used to handle the constraints between different time intervals and incorporate the following generation and consumption predictions. Owing to the computational burden and individual privacy issues, an efficient distributed algorithm is developed to solve the optimal power flow problem. The strong coupling between prosumers through power networks is removed by introducing auxiliary variables to acquire locational marginal prices (LMPs) covering energy, congestion, and loss components. Case studies based on the IEEE 33-bus system demonstrated the efficiency and effectiveness of the proposed method and model.

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实时市场中能源生产用户的分布式控制策略
随着分布式能源(DERs)的日益普及,在交易能源(TE)范式下对多生产消费者的合作控制的研究日益引起人们的兴趣。虽然现有文献表明TE提供了显著的电网灵活性和经济效益,但很少有研究涉及TE中安全约束的合并。本文提出了一种基于市场的实时市场控制机制,在保证系统安全运行的同时,经济地协调产消者之间的TE。考虑到电池的动态特性和响应需求,采用模型预测控制(MPC)方法处理不同时间间隔之间的约束,并结合下一代和消耗预测。考虑到计算量大和个人隐私问题,提出了一种高效的分布式算法来求解最优潮流问题。通过引入辅助变量来获取覆盖能源、拥堵和损耗成分的位置边际价格(LMPs),消除了产消者之间通过电网产生的强耦合。基于IEEE 33总线系统的实例研究证明了该方法和模型的有效性。
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