Real time voltage stabilization in microgrid

• Autorzy: Jangjoo M. A. , Seifi A. R.

Identyfikatory

DOI

10.2478/aee-2014-0021

• Języki publikacji: EN

Abstrakty

EN

This study suggests a new algorithm based on a combination of fuzzy logic and genetic algorithm (GA) to improve voltage profile in a microgrid. The considered microgrid includes control variables such as onload tap changer (OLTC), active power output from distributed generators (DG) and reactive power output from feeder switched capacitors that are controlled in a microgrid controller (MGC) by communication links. The proposed method was used to obtain the optimum value of control variables to establish voltage stabilization in varying load condition as online. For establishing voltage stabilization at the microgrid, an objective function is defined and is tried to minimize it by control variables. The control variables were changed based on fuzzy logic and the GA was employed for finding the optimum shape of membership functions. In order to verify the proposed method, a 34 buses microgrid in varying load condition was analyzed and was compared with previous works.

Słowa kluczowe

EN

capacitor; distributed generation (DG); on load tap changer (OLTC); voltage stabilization; microgrid

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2014
• Tom: Vol. 63, nr 2
• Strony: 273--293
• Opis fizyczny: Bibliogr. 14 poz., rys., wz.

Twórcy

autor

Jangjoo M. A.

• Department of Power & Control, Shiraz University, Shiraz, Iran

autor

Seifi A. R.

• Department of Power & Control, Shiraz University, Shiraz, Iran

Bibliografia

• [1] Kumar K.V., Selvan M.P., Planning and operation of distributed generators in distribution systems for improved voltage profile. Power System Conf., pp. 1-7 (2009).
• [2] Quezada V.H.M., Abbad J.R., Roman T.G.S., Assessment of Energy Distribution Losses for Increasing Penetration of Distributed Generation. Power Systems, IEEE Transactions 21: 533-540 (2006).
• [3] Leeton U., Ratniyomchai T., Kulworawanichpong T., Optimal Reactive Power Flow with Distributed Generating Plants in Electric Power Distribution Systems. IEEE conf Power Deliv., pp. 166-169 (2010).
• [4] Thomson M., Automatic-voltage-control relays and embedded generation. Power Engineering Journal., IET Journals & Magazines, pp. 71-76 (2000).
• [5] Viawan F.A., Karlsson D., Voltage and Reactive Power Control in Systems with Synchronous Machine-Based Distributed Generation. Power Delivery, IEEE Transactions 23: pp. 1079-1087 (2008).
• [6] Viawan F.A., Karlsson D., Voltage and Reactive Power Control in Closed Loop Feeders with Distributed Generation. Power Tech, 2007 IEEE Lausanne, pp. 549-554 (2007).
• [7] Katiraei F., Iravani M.R., Power Management Strategies for a Micro-grid With Multiple Distributed Generation Units. Power System IEEE Transaction on, pp. 1821-1831 (2006).
• [8] Junior M., Filho M., Optimal Power Flow in Distribution Networks by Newton’s Optimization Methods. IEEE International Symposium 3: 505-509 (1998).
• [9] Chiang H.D., Wang J.C., Darling G., Optimal Capacitor Placement, Replacement and Control in Large-Scale Unbalanced Distribution Systems: Systems Solution Algorithms and Numerical Studies. IEEE Winter Meeting pp. 180-186 (1994).
• [10] Chakravorty M., Das D., Voltage stability analysis of radial distribution networks. International Journal of Electrical Power & Energy Systems 23(2): 129-135 (2001).
• [11] Seifi A.R., Hesamzadeh M.R., A hybrid optimization approach for distribution capacitor allocation considering varying load conditions. International Journal of Electrical Power & Energy Systems 31: 589-595 (2009).
• [12] Taghavi R., Seifi A.R., Pourahmadi-Nakhli M., Fuzzy reactive power optimization in hybrid power systems. International Journal of Electrical Power & Energy Systems 42: 375-383 (2012).
• [13] Mekhamer S.F., Soliman S.A., Moustafa M.A., El-Hawary M.E., Application of fuzzy logic for reactive-power compensation of radial distribution feeders. IEEE Trans. Power Syst. 18(1): 206-213 (2003).
• [14] Ding Shuying, Zhang Qingyu, Guo Hui, A modeling study on environmental costs of fire power generation. Shanghai Environmental Science 26(2): 58-61 (2007).