|
Direct Ranking of Candidate Buses for Distributed Generation Placement Using a Composite Index Based on AC Optimal Power Flow
|
Asma Barani1   , Javad Olamaei *2 , Ali Akhavein3 , Seyed Mahmoud Modaresi4 |
1- Department of Electrical Engineering, ST.C., Islamic Azad University, Tehran, Iran, asma.barani@iau.ac.ir
2- Department of Electrical Engineering, ST.C., Islamic Azad University, Tehran, Iran , javad.olamaei@iau.ac.ir
3- Department of Electrical Engineering, ST.C., Islamic Azad University, Tehran, Iran, a_akhavein@iau.ac.ir
4- Department of Electrical Engineering, ST.C., Islamic Azad University, Tehran, Iran, modaresi@iau.ac.ir |
|
|
Abstract: (9 Views) |
Distributed generation (DG) placement in distribution networks is commonly formulated as a mixed-integer nonlinear programming (MINLP) problem, whose direct solution is computationally burdensome. This paper presents an alternating-current optimal power flow (AC OPF)-based framework for the direct ranking of candidate buses, such that the suitability of each bus is evaluated using techno-economic indicators, thereby reducing the need to solve the placement model directly. Within this framework, three indicators, namely the loss sensitivity factor (LSF), voltage deviation index (VDI), and locational marginal price (LMP), are derived from three AC OPF formulations with an identical network model and operating constraints but different objective functions. These indicators are then normalized using min–max normalization and integrated into a unified composite index (CI) through the inverse accumulated weighting (IAW) method. The resulting CI enables the direct ranking of buses and goes beyond serving merely as a preliminary screening tool. The proposed framework is evaluated on the IEEE 69-bus test system and benchmarked against a reference MINLP model. The results show that the top 14 buses identified by the CI, corresponding to the top 20% of candidate buses, include all 10 buses selected by the reference model, yielding a 100% overlap rate. In addition, a sensitivity analysis of weight confirms the stability of the proposed ranking under reasonable variations in the indicator weights. Therefore, the proposed framework can serve as an effective decision-support tool for the direct ranking of candidate buses in DG placement studies. |
|
| Keywords: Mixed-integer nonlinear programming, AC optimal power flow, Distributed generation placement, Bus ranking, Composite index |
|
|
Full-Text [PDF 985 kb]
(5 Downloads)
|
Type of Study: Research |
Subject:
Special
Received: 2025/12/12 | Accepted: 2026/02/18 | Published: 2026/03/1
|
| * Corresponding Author Address: javad.olamaei@iau.ac.ir |
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
