Volume 21, Issue 4 (JIAEEE Vol.21 No.4 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(4): 23-38 |
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Golzari-kolur H, Bathaee S M, Amraee T. Generation Rescheduling to Ensure Small-Signal Stability in The Presence of Renewable Energy Sources. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (4) :23-38
URL: http://jiaeee.com/article-1-1706-en.html
URL: http://jiaeee.com/article-1-1706-en.html
Generation Rescheduling to Ensure Small-Signal Stability in The Presence of Renewable Energy Sources
K.N. Toosi University of Technology
Abstract: (1111 Views)
With the increasing penetration of renewable energy sources (RES) in power systems, small-signal stability (SSS) is challenged due to the decreasing inertia. This paper proposes a sequential generation rescheduling model considering a generic dynamic model for RES, formulated as an optimal power flow (OPF) with SSS constraints (SSS-OPF) to improve the system damping ratio. The dynamic modeling of wind turbine generators, photovoltaic sources, and energy storage systems is possible using this general dynamic model. The sensitivity of eigenvalues with respect to active and reactive powers of generating units has been used to describe the SSS constraints. By employing the semi-definite programming (SDP) relaxation technique, the SSS-OPF model is converted to a convex optimization model. This leads to enhanced convergence reliability and improved computational efficiency in solving the model, rendering the proposed method suitable and applicable for large-scale power systems. This optimization model can be solved using the SDPT3 solver in MATLAB software. Case studies on the IEEE 9-bus and IEEE 39-bus systems are conducted to validate the proposed algorithm. The proposed generation re-scheduling method increases the damping ratio of the power system with a high penetration of RES.
Keywords: small signal stability, optimal power flow, renewable energy system, generation rescheduling
Type of Article: Research |
Subject:
Power
Received: 2024/03/11 | Accepted: 2024/06/1 | Published: 2025/01/11
Received: 2024/03/11 | Accepted: 2024/06/1 | Published: 2025/01/11
Extended Abstract [PDF 227 KB] (22 Download)
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