Optimal design of probabilistically robust PIλDμ controller to improve small signal stability of PV integrated power system. Issue 13 (September 2019)

• Record Type: Journal Article
• Authors: Shahsavari, Hossein; Nateghi, Alireza
• Is Part Of: Journal of the Franklin Institute. Volume 356:Issue 13(2019)
• Page Start: 7183
• Page End: 7209
• Publication Date: 2019-09
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2019.03.035
• Languages: English
• ISSNs: 0016-0032

Abstract

Highlights: A comprehensive dynamic model of PV power plant has been developed to study small signal stability. The optimal probabilistically robust P PI λ D μ controller is proposed for damping of oscillations. The NSGA-II is employed to search for PI λ D μ controller parameters in the presence of PV connected to single-machine system. The uncertainty of probabilistically solar irradiation and temperature modeled by Monte Carlo simulation. Abstract: With the rapidly increasing penetration level of power generated by large scale photovoltaic (PV) units into the power systems, the effect of the variable output power of the PV unit on the stability of the system cannot be ignored. This paper presents a mathematical approach to study the effect of high infiltration of PV power plant on the small signal stability of a power network and design of optimal fractional order PID ( PI λ D μ ) controller for improving the probabilistic small signal stability of the power systems, taking into consideration the uncertainty of system operating conditions. Due to the probabilistic characteristics of large scale PV power generation, deterministic analysis approaches are not able to fully reveal the impact of high-level PV penetration. At first, this work introduces the main module and mathematical modeling of the large scale PV generation jointly with the single-machine infinite-bus power system. In the following, the paper proposes an efficient method that tunes power system stabilizer (PSS) to have the robustness for damping electro-mechanical oscillations in power systems with incorporated random PV power. For this reason, a robust PSS based on hybridization of PI λ D μ controller and Non-dominated Sorting Genetic Algorithm (NSGAII) is designed. This paper targets at finding the optimal gain scheduling of the PI λ D μ through the use of the advanced heuristic optimization technique with two objective functions in PV-grid connected systems. The performance of the proposed NSGAII-based PI λ D μ controller (NSGAII- PI λ D μ ) under different solar irradiation, temperature conditions and disturbances is tested. Simulation results illustrate that the model presented can be used in designing of essential controllers for large scale PV power plant.