Model predictive control for voltage restoration in microgrids using temporal logic specifications
Model predictive control for voltage restoration in microgrids using temporal logic specifications
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DOI：
10.1049/iet-esi.2019.0135
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发表时间：
2020-04
影响因子：
2.4
通讯作者：
F. Z. Taousser;M. Olama;S. Djouadi;K. Tomsovic;Yichen Zhang;Yaosuo Xue
中科院分区：
文献类型：
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作者：
F. Z. Taousser;M. Olama;S. Djouadi;K. Tomsovic;Yichen Zhang;Yaosuo Xue
随着可再生能源的不断普及，电力系统的运行将遇到许多电压变化。实时监测和通信技术可以通过快速检测电压偏差和实施纠正措施来提高电压稳定性。只有以及时和可扩展的方式选择这些纠正措施，才能有效地恢复稳定。本研究考虑电力系统的负荷电压控制问题，以同时解决幅度和时间电压规格。为了满足电网规范的要求，避免不必要的继电保护动作，提出了一种基于模型预测控制的时序逻辑规范控制策略。的TLS策略作为一种形式主义，以控制电压变化在一个关键的负载总线对操作的界限随着时间的推移。控制目标是从可用的支持能量存储系统，提供无功功率注入，导致满足指定的有限时间恢复描述的TLS与最小的控制工作，以调度最佳的控制输入信号。仿真结果表明，该策略对电力系统电压控制综合具有重要意义。
Power system operation will encounter numerous voltage variabilities as the proliferation of renewable energy continues. Real-time monitoring and communication technologies can potentially improve voltage stability by enabling the rapid detection of voltage deviations and the implementation of corrective actions. These corrective actions will only be effective in restoring stability if they are chosen in a timely and scalable manner. This study considers the problem of power systems’ load voltage control in order to simultaneously address both magnitude and time voltage specifications. In order to comply with grid codes and avoid unnecessary relay protection actions, a model predictive control-based control strategy employing temporal logic specifications (TLSs) is proposed. The TLSs strategy is introduced as a formalism to control the voltage variation at a critical load bus against operational bounds over time. The control objective is to schedule optimal control input signals from the available supportive energy storage systems, which provide reactive power injections, leading to satisfying the specified finite-time restoration described by the TLSs with minimal control efforts. The simulation results display that the TLSs strategy for power systems’ voltage control synthesis is extremely significant.