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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >Automatic Generation Control of Multi-area Power System with Network Constraints and Communication Delays
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Automatic Generation Control of Multi-area Power System with Network Constraints and Communication Delays

机译：具有网络约束和通信时延的多区域电力系统的自动发电控制

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摘要

Newly proposed power system control methodologies combine economic dispatch (ED) and automatic generation control (AGC) to achieve the steady-state cost-optimal solution under stochastic operation conditions. However, a real power system is subjected to continuous demand disturbance and system constraints due to the input saturation, communication delays and unmeasurable feed-forward load disturbances. Therefore, optimizing the dynamic response under practical conditions is equally important. This paper proposes a state constrained distributed model predictive control (SCDMPC) scheme for the optimal frequency regulation of an interconnected power system under actual operation conditions, which exist due to the governor saturation, generation rate constraints (GRCs), communication delays, and unmeasured feed-forward load disturbances. In addition, it proposes an algorithm to handle the solution infeasibility within the SCDMPC scheme, when the input and state constraints are conflicting. The proposed SCDMPC scheme is then tested with numerical studies on a three-area interconnected network. The results show that the proposed scheme gives better control and cost performance for both steady state and dynamic state in comparison to the traditional distributed model predictive control (MPC) schemes.
机译：最新提出的电力系统控制方法结合了经济调度（ED）和自动发电控制（AGC），可在随机运行条件下实现稳态成本最优解决方案。但是，由于输入饱和，通信延迟和不可测量的前馈负载干扰，实际的电力系统会受到连续的需求干扰和系统约束。因此，在实际条件下优化动态响应同样重要。本文提出了一种状态约束分布模型预测控制（SCDMPC）方案，用于在实际运行条件下优化互联频率的最优频率调节，这是由于调速器饱和，发电速率约束（GRC），通信延迟和不可测馈电而存在的-前向负载干扰。此外，当输入约束和状态约束冲突时，提出了一种算法来处理SCDMPC方案中的解决方案不可行问题。然后，在三区域互连网络上通过数值研究对提出的SCDMPC方案进行了测试。结果表明，与传统的分布式模型预测控制（MPC）方案相比，该方案在稳态和动态状态下均具有更好的控制和成本性能。

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