International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

Application of the Power Division Theorem for Network Loss Formula Correction, Back Power Flow Tracking, and Validating Superposition Theorem Applicability in Automated EMS Grid Optimization

Author(s) Prof. Dr. Kannan Perumal Subbiah
Country India
Abstract Accurate determination of individual component sharing of system loads and grid losses has been a long-standing challenge in power systems engineering. Traditional loss formulations based on net branch currents introduce cross-product errors that obscure physical accountability during bidirectional power flows. This paper utilizes the Power Division Theorem (PDT) to establish a rigorous, flow-aware framework that corrects the element loss formula. By converting quadratic power dependencies into a linearized inner-product format, this approach provides definitive mathematical validation for the applicability of the Superposition Theorem in active power loss calculations. The theorem defines an exact mathematical approach to trace back power flows and apportion discrete generator contributions to specific loads and network losses. Furthermore, this paper provides mathematical proof that operating a grid under Equal Source Node Voltage conditions yields absolute minimum network losses without iterative numerical optimization. Designed with low computational overhead, this framework can be easily integrated into modern real-time SCADA/EMS systems utilizing industry-standard protocols.
Keywords Back power flow (BPF) tracing, energy management systems (EMS), equal source node voltage, loss formula correction, network loss minimization, power division theorem (PDT), superposition theorem validation, supervisory control and data acquisition (SCADA
Field Engineering
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-04
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.83028

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