Total views : 200

Fuzzy-based Strategy for Voltage and Reactive Power Scheduling

Affiliations

  • Annamalai University, Annamalai Nagar, Chidambaram - 608002, Tamil Nadu, India
  • Department of EEE, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, India
  • Bin Salim Enterprises, Sultanate of Oman, Oman

Abstract


Background / Objectives: This paper narrates a novel strategy employing fuzzy logic for voltage profile enhancement and loss minimization in power systems. Linearized model is utilized and limit violations of control variables translated into fuzzy set notation. Methods/Statistical Analysis: The method adopted here for the voltage profile enhancement consists of certain number of load buses with definite VAR compensation schemes. In this work, it is mainly aimed to enhance the system voltage profile and thereby reducing power losses in it. Here, the linearization of objective functions and constraints is done about the current operating point. Findings: The equality and inequality constraints include dependent and independent variables. Later, power flow studies are used to calculate the limit violations of bus voltage magnitude and thereby a viable solution set that aims for voltage profile improvement as well as power loss reduction is finally obtained using appropriate operations of the fuzzy sets. In order to demonstrate the efficacy of this approach, IEEE 14 –bus test system is implemented. Application/Improvement: Due to the application of fuzzy logic, the control of variables in the problem is global and it involves less computational time and the results can have more accuracy.

Keywords

Fuzzy-based Strategy, Fuzzification and Membership Functions, Linearized Model, Reactive Power Scheduling, Voltage Profile Enhancement.

Full Text:

 |  (PDF views: 187)

References


  • Qiu J, Shahidehpour S. A new approach for minimizing power losses and improving voltage profile. IEEE Trans on Power Systems. 1987; 2(2):287–95.
  • Exposito AG, Ramos JLM, Macias JLR, Sulinas YC. Sensitivity-based reactive power control for voltage profile improvement. IEEE Trans on Power Systems. 1993; 8(3):937–45.
  • Rahman AKB, Shahidehpour SM. A fuzzy based optimal reactive power control. IEEE Trans on Power Systems. 1993; 8(2):662–70.
  • Hano L, Tamura Y, Narita S Matsumoto K. Real time control of system voltage and reactive power. IEEE Trans on PAS. 1969; 8(5):1544–58.
  • Jang JSR. Neuro Fuzzy and Soft Computing. Prentice Hall of India. 1997.
  • Timothy J, Ross R. Fuzzy Logic with Engineering Applications. McGraw Hill Publishing Company. 1997.
  • Carson W, Taylor T. Power System Voltage Stability. McGraw Hill Publishing Company. T.J.E. Miller, Reactive Power Control in Electric System. John Wile and sons.1992; 1–3.
  • Kiran SH, Dash SS, Subramani C, Pathy S, An efficient swarm optimization technique for stability analysis in IEEE 14 bus system. Indian Journal of Science and Technology. 2016; 9(13):1–6.
  • Kanagavardhini K, Mahalakshimi TS. A review on nature based swarm intelligence optimization techniques and its current research directions. Indian Journal of Science and Technology. 2013; 9(10):1–13.
  • Eghbalpour H, Rad MN, Hassani R. A Multi operator imperialist competitive algorithm for solving non convex economic dispatch problem. Indian Journal of Science and Technology. 2016; 9(6):1–9.
  • Balasubramanium KP, Santhi KR. Best Compromised Schedule for Multi – Objective Unit Commitment Problems. Indian Journal of Science and Technology. 2016; 9(2):1–10.

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.