Mathematical Modeling and Control Algorithm Development for Bidirectional Power Flow in CCS-CNT System

作     者：Sinqobile Wiseman Nene Sinqobile Wiseman Nene

作者机构：Department of Electrical Engineering Tshwane University of Technology EMalahleni South Africa 

出 版 物：《Journal of Power and Energy Engineering》 (电力能源（英文）)

年 卷 期：2024年第12卷第9期

页      面：131-143页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Capacitor Couple Substation Ferroresonance Power Flow Control Controllable Network Controller Capacitor-Coupled Substation Incorporating Controllable Network Transformer (CCS-CNT) System System Modeling 

摘      要：As the demand for more efficient and adaptable power distribution systems intensifies, especially in rural areas, innovative solutions like the Capacitor-Coupled Substation with a Controllable Network Transformer (CCS-CNT) are becoming increasingly critical. Traditional power distribution networks, often limited by unidirectional flow capabilities and inflexibility, struggle to meet the complex demands of modern energy systems. The CCS-CNT system offers a transformative approach by enabling bidirectional power flow between high-voltage transmission lines and local distribution networks, a feature that is essential for integrating renewable energy sources and ensuring reliable electrification in underserved regions. This paper presents a detailed mathematical representation of power flow within the CCS-CNT system, emphasizing the control of both active and reactive power through the adjustment of voltage levels and phase angles. A control algorithm is developed to dynamically manage power flow, ensuring optimal performance by minimizing losses and maintaining voltage stability across the network. The proposed CCS-CNT system demonstrates significant potential in enhancing the efficiency and reliability of power distribution, making it particularly suited for rural electrification and other applications where traditional methods fall short. The findings underscore the system s capability to adapt to varying operational conditions, offering a robust solution for modern power distribution challenges.