Optimal output-constrained control of medium-voltage DC shipboard power systems for pulsed power load accommodation

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2023-10-30 DOI:10.1049/stg2.12138
Zhenghong Tu, Jiangkai Peng, Bo Fan, Liming Liu, Wenxin Liu
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Abstract

For pulsed power load (PPL) accommodation in a medium-voltage DC (MVDC) shipboard power system (SPS), the charging control of energy storage systems (ESSs) and the generation control of distributed generators (DGs) need to be properly coordinated. Targeting the important but not well-studied problem, an optimal output-constrained control algorithm for the offline PPL accommodation strategy is presented. Three control objectives including realising the generation and charging control references, maintaining the DC bus and supercapacitor voltages within the safe operating ranges, and minimising the total generation cost of DGs, are fulfilled concurrently. First, an SPS model with multiple DGs, a supercapacitor ESS, and regular loads is developed. By restricting the DC bus and supercapacitor voltages within pre-defined constraints, both the transient- and steady-state performances of the SPS are guaranteed. Furthermore, by incorporating the cost minimisation objective into designed virtual control signals, the third control objective on energy efficiency is realised. The stability of the presented algorithm is rigorously proven based on the Lyapunov method. Finally, detailed case studies are conducted to validate the performance of the designed algorithm.

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中压直流船载电力系统脉冲功率负载优化控制
在中压直流(MVDC)船载电力系统(SPS)中安置脉冲功率负载(PPL)时,需要适当协调储能系统(ESS)的充电控制和分布式发电机(DG)的发电控制。针对这一重要但尚未得到充分研究的问题,本文提出了离线 PPL 调节策略的最优输出约束控制算法。同时实现三个控制目标,包括实现发电和充电控制参考值、将直流母线和超级电容器电压保持在安全运行范围内,以及最大限度降低 DGs 的总发电成本。首先,建立了一个包含多个 DG、一个超级电容器 ESS 和常规负载的 SPS 模型。通过将直流母线和超级电容器电压限制在预定义的约束条件内,保证了 SPS 的瞬态和稳态性能。此外,通过将成本最小化目标纳入设计的虚拟控制信号,实现了能效的第三个控制目标。基于 Lyapunov 方法,提出的算法的稳定性得到了严格证明。最后,还进行了详细的案例研究,以验证所设计算法的性能。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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