Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework
For modern power plants to be dependable, safe, sustainable, and provide the highest operational efficiency (i.e., enhance dynamic load distribution with a faster response time at reduced reactive losses), there must be an intelligent dynamic load management system based on modern computational tech...
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MDPI AG
2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/12/3001 |
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| author | Khawaja Tahir Mehmood Muhammad Majid Hussain |
| author_facet | Khawaja Tahir Mehmood Muhammad Majid Hussain |
| author_sort | Khawaja Tahir Mehmood |
| collection | DOAJ |
| description | For modern power plants to be dependable, safe, sustainable, and provide the highest operational efficiency (i.e., enhance dynamic load distribution with a faster response time at reduced reactive losses), there must be an intelligent dynamic load management system based on modern computational techniques to prevent overloading of power devices (i.e., alternators, transformers, etc.) in grid systems. In this paper, a co-simulation framework (Panda-SDN Load Balancer) is designed to achieve maximum operational efficiency from the power grid with the prime objective of real-time intelligent load balancing of operational power devices (i.e., power transformers, etc.). This framework is based on the integration of two tools: (a) PandaPower (an open-source Python tool) used for real-time power data (voltage; current; real power, P<sub>Real</sub>; apparent power, P<sub>Apparent</sub>; reactive power, P<sub>Reactive</sub>; power factor, PF; etc.) load flow analysis; (b) Mininet used for the designing of a Software-Defined Network (SDN) with a POX controller for managing the load patterns on power transformers after load flow analysis obtained through PandaPower via the synchronization tool Message Queuing Telemetry Transport (MQTT) and Intelligent Electrical Devices (IEDs). In this research article, the simulation is performed in three scenarios: (a) normal flow, (b) loaded flow without the proposed framework, and (c) loaded flow with the proposed framework. As per simulation results, the proposed framework offered intelligent substation automation with (a) balanced utilization of a transformer, (b) enhanced system power factor in extreme load conditions, and (c) significant gain in system operational efficiency as compared to legacy load management methods. |
| format | Article |
| id | doaj-art-7b6d62c0d7ce44139290d48c3bee7e49 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-7b6d62c0d7ce44139290d48c3bee7e492025-08-20T02:24:25ZengMDPI AGEnergies1996-10732025-06-011812300110.3390/en18123001Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based FrameworkKhawaja Tahir Mehmood0Muhammad Majid Hussain1Department of Electrical Engineering, Bahauddin Zakariya University, Multan 60000, PakistanSchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UKFor modern power plants to be dependable, safe, sustainable, and provide the highest operational efficiency (i.e., enhance dynamic load distribution with a faster response time at reduced reactive losses), there must be an intelligent dynamic load management system based on modern computational techniques to prevent overloading of power devices (i.e., alternators, transformers, etc.) in grid systems. In this paper, a co-simulation framework (Panda-SDN Load Balancer) is designed to achieve maximum operational efficiency from the power grid with the prime objective of real-time intelligent load balancing of operational power devices (i.e., power transformers, etc.). This framework is based on the integration of two tools: (a) PandaPower (an open-source Python tool) used for real-time power data (voltage; current; real power, P<sub>Real</sub>; apparent power, P<sub>Apparent</sub>; reactive power, P<sub>Reactive</sub>; power factor, PF; etc.) load flow analysis; (b) Mininet used for the designing of a Software-Defined Network (SDN) with a POX controller for managing the load patterns on power transformers after load flow analysis obtained through PandaPower via the synchronization tool Message Queuing Telemetry Transport (MQTT) and Intelligent Electrical Devices (IEDs). In this research article, the simulation is performed in three scenarios: (a) normal flow, (b) loaded flow without the proposed framework, and (c) loaded flow with the proposed framework. As per simulation results, the proposed framework offered intelligent substation automation with (a) balanced utilization of a transformer, (b) enhanced system power factor in extreme load conditions, and (c) significant gain in system operational efficiency as compared to legacy load management methods.https://www.mdpi.com/1996-1073/18/12/3001transformer load managementSoftware-Defined Network (SDN)Message Queuing Telemetry Transport (MQTT)load flow analysisIntelligent Electrical Devices (IEDs) |
| spellingShingle | Khawaja Tahir Mehmood Muhammad Majid Hussain Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework Energies transformer load management Software-Defined Network (SDN) Message Queuing Telemetry Transport (MQTT) load flow analysis Intelligent Electrical Devices (IEDs) |
| title | Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework |
| title_full | Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework |
| title_fullStr | Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework |
| title_full_unstemmed | Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework |
| title_short | Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework |
| title_sort | dynamic load management in modern grid systems using an intelligent sdn based framework |
| topic | transformer load management Software-Defined Network (SDN) Message Queuing Telemetry Transport (MQTT) load flow analysis Intelligent Electrical Devices (IEDs) |
| url | https://www.mdpi.com/1996-1073/18/12/3001 |
| work_keys_str_mv | AT khawajatahirmehmood dynamicloadmanagementinmoderngridsystemsusinganintelligentsdnbasedframework AT muhammadmajidhussain dynamicloadmanagementinmoderngridsystemsusinganintelligentsdnbasedframework |