Grid Secondary Frequency Control by Fuzzy PI–PD Controller

Author:

Rapolu Ganesh,Dola Gobinda Padhan,Chandra Prakash D.,Hussain Muhamed

Abstract

This paper develops a new approach for controlling the frequency in a two-area power system using a fuzzy PI PD controller. Frequency stabilization is one of the important factors for any power system to operate efficiently and reliably. The fluctuating characteristics of RES, like solar PV and wind energy, due to changing atmospheric conditions, require additional reserves to compensate for fluctuations in generated power. With growing application of EVs and their charging requirement, charting huge loads may add to the power grid and lead to stability problems if not properly regulated. This paper coordinates EV charging into the secondary frequency regulation, aided by an enhanced fuzzy controller designed for dealing with fluctuating imbalances between electricity demand and generation. In this context, a control technique is suggested that incorporates the flexibility of fuzzy logic with the accurate PI and PD methods for control. The controller continuously monitors changes in frequency at each node in the power system network. The fuzzy logic works on uncertain input data in terms of prescribed linguistic variables and rules that allow it to achieve a reasoned output. The difference between the desired and actual frequencies alters the control variable through the PI component of the controller, while the PD component considers the rate of change of this error to make the system's response time better. The effectiveness of the fuzzy PI PD controller is proven through detailed simulation experiments under different operational conditions and disturbances. It can be rundown that the controller efficiently reduces these frequency deviations, which guarantees smooth and reliable operation of the two-area power system network. In addition, it can be seen that the controller has robust performance but is rather reactive to dynamical changes in system parameters. Case studies are included in the research to test the performance of the proposed control approach in reducing frequency deviations; simulation findings always prove its efficacy. This paper therefore presents a complex method of frequency regulation in power systems using fuzzy logic and combined PI PD control to deal with problems caused by RES integration and EV charging. The proposed technique enhances the frequency stability in order to enhance both the reliability and efficiency of power grid operations due to the ever-changing energy demands and conditions.

Publisher

EDP Sciences

Reference16 articles.

1. Provision of Load Frequency Control by PHEVs, Controllable Loads, and a Cogeneration Unit

2. Wang R.T., “Title of Chapter”, in Classic Physiques, edited by Hamil R.B. (Publisher Name, Publisher City, 1999), pp. 212–213.

3. Dan A., Farkas C., Prikler L., “V2Geffects on frequency regulation and under-frequency load shedding in a quasiislanded grid”, PowerTech, 2013 IEEE Grenoble, pp. 1–6, 2013. B.R. Jackson and T. Pitman, U.S. Patent No. 6, 345, 224 (8 July 2004)

4. Garcia-Valle R., Pecas Lopes J.A., “Electric vehicle integration into modern power networks”, 1st ed., New York: Springer, 2013.

5. Pillai J.R., “Electric vehicle based battery storages for large scale wind power integration in Denmark,” PhD dissertation, Dept. Energy Technology, Univ. Aalborg, Denmark, December 2010.

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