Model predictive control for load frequency of hybrid power system with wind power and thermal power

Jizhen Liu, Qi Yao and Yang Hu

Energy, 2019, vol. 172, issue C, 555-565

Abstract: With the increase of wind power penetration in generation profile, the contribution of wind power to load frequency control (LFC) has become more significant. To improve the frequency characteristics of a wind-power-contained power system, this paper establishes an analytical linearized model for the frequency response characteristics of wind turbine generator (WTG) during LFC which is helpful to the design of frequency controller. Furthermore, the gap metric measure to the above models under different wind speed ranges is calculated. Under the per unit system, it can be extended as an equivalent model for the whole wind farm. Combining the derived wind farm model and a known thermal power model, an integrated model of hybrid power system can be built. To optimize the frequency-response performance to the power system, an improved LFC method based on model predictive control (MPC) is presented and applied to a multi-areas hybrid system. Then, the wind farms and thermal power plants in the same area can be controlled simultaneously and obtain their reference orders from the predictive controller. The simulation results show that the proposed method can effectively raise the frequency response level of the both power supplies and then improve the frequency performance of power system.

Keywords: Wind power; Load frequency control; Hybrid power system; Model predictive control; Frequency response model; Gap metric (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:172:y:2019:i:c:p:555-565

DOI: 10.1016/j.energy.2019.01.071

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