Open Access Open Access  Restricted Access Subscription Access

A Review of Improving Power Quality in Smart Grid

Pawan R. Mule, Radharaman Shaha

Abstract


For remote or localised places, a microgrid can provide electrical power through a combination of distributed generation and local loads. One of the most recent developments in Egypt is the integration of microgrids with the power grid. Power quality issues such as voltage drops, growing usage of distributed generation, deep energy, and power loss can be solved by integrating smart microgrids and utility systems. Some common and serious power quality concerns connected with the integration of smart microgrids and utility systems such as voltage fluctuation and total harmonic distortion (THD) at varied solar irradiance and load situations are being investigated in this study. A MATLAB and Simulink code built for this study was used to model and assess the integration of smart microgrids and utility systems and the power quality issue at varying loads. At various irradiance levels, this study examines five voltage analysis scenarios and two THD situations. While the voltage drop % decreases with high solar irradiance, it increases with low solar irradiance at all load levels, according to the results. In addition, at both high and low loads, THD reduces as solar irradiation increases, and the reverse is true.

 

Keywords: Power quality issues, integration of smart microgrids and utility systems, voltage fluctuation, solar photovoltaic system

 


Full Text:

PDF

References


Nwankpa, C., Miu, K., Niebur, D., Yang, X., & Carullo, S. P. (2005, June). Power transmission and distribution system laboratories at Drexel University. In IEEE Power Engineering Society General Meeting, 2005 (pp. 1198-1205). IEEE.

Bagdadee, A. H. (2016, October). Imitation intellect techniques implement for improving power quality in supply network. In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (pp. 1095-1099). IEEE.

Cioc, I. B., Lita, I., Visan, D. A., & Bostan, I. (2009, May). FPAA implementation of signal processing circuits for radiation sensors. In 2009 32nd International Spring Seminar on Electronics Technology (pp. 1-4). IEEE.

Sharaf, A. M., & Abdelsalamy, A. A. (2011, May). A novel facts based dynamic voltage compensation scheme for smart electric grid stabilization and efficient utilization. In 2011 24th Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 000042-000047). IEEE.

Santacana, E., Rackliffe, G., Tang, L., & Feng, X. (2010). Getting smart. IEEE power and energy magazine, 8(2), 41-48.

Brooks, A., Lu, E., Reicher, D., Spirakis, C., & Weihl, B. (2010). Demand dispatch. IEEE Power and Energy Magazine, 8(3), 20-29.

Banos, R., Manzano-Agugliaro, F., Montoya, F. G., Gil, C., Alcayde, A., & Gómez, J. (2011). Optimization methods applied to renewable and sustainable energy: A review. Renewable and sustainable energy reviews, 15(4), 1753-1766.

Bagdadee, A. H. (2014). Using A Battery Storage Wind/PV Hybrid Power Supply System Based Stand-Alone PSO To Determine The Most Appropriate. Am J. Eng Res, 3(8), 234-242.

Ilic, M. D., Xie, L., & Joo, J. Y. (2011). Efficient coordination of wind power and price-responsive demand—Part I: Theoretical foundations. IEEE Transactions on Power Systems, 26(4), 1875-1884.

Choi, I. H., Lee, J. H., & Hong, S. H. (2011, May). Implementation and evaluation of the apparatus for intelligent energy management to apply to the smart grid at home. In 2011 IEEE International Instrumentation and Measurement Technology Conference (pp. 1-5). IEEE.

Peng, L., & Yan, G. S. (2011). Clean energy grid-connected technology based on smart grid. Energy Procedia, 12, 213-218.

Hou, H., Zhou, J., Zhang, Y., & He, X. (2011, October). A brief analysis on differences of risk assessment between smart grid and traditional power grid. In 2011 Fourth International Symposium on Knowledge Acquisition and Modeling (pp. 188-191). IEEE.

Sanya. (2011). Fourth International Symposium on Knowledge Acquisition and Modeling, 188-191.

Alvial-Palavicino, C., Garrido-Echeverría, N., Jiménez-Estévez, G., Reyes, L., & Palma-Behnke, R. (2011). A methodology for community engagement in the introduction of renewable based smart microgrid. Energy for sustainable development, 15(3), 314-323.

Bagdadee, A. H. (2016). To reduce impact of the variation of power from renewable energy by using super capacitor in Smart grid. WSEAS transactions on power systems, 11, 2016.

Peng, L., & Yan, G. S. (2011). Clean energy grid-connected technology based on smart grid. Energy Procedia, 12, 213-218.

Hou, H., Zhou, J., Zhang, Y., & He, X. (2011, October). A brief analysis on differences of risk assessment between smart grid and traditional power grid. In 2011 Fourth International Symposium on Knowledge Acquisition and Modeling (pp. 188-191). IEEE.

Agrell, P. J., Bogetoft, P., & Mikkers, M. (2013). Smart-grid investments, regulation and organization. Energy Policy, 52, 656-666.

Moretti, M., Djomo, S. N., Azadi, H., May, K., De Vos, K., Van Passel, S., & Witters, N. (2017). A systematic review of environmental and economic impacts of smart grids. Renewable and Sustainable Energy Reviews, 68, 888-898.

Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: Communication technologies and standards. IEEE transactions on Industrial informatics, 7(4), 529-539.

Irfan, M., Iqbal, J., Iqbal, A., Iqbal, Z., Riaz, R. A., & Mehmood, A. (2017). Opportunities and challenges in control of smart grids–Pakistani perspective. Renewable and Sustainable Energy Reviews, 71, 652-674.

Bagdadee, A. H. (2017). Power quality analysis by the ripple technique. Journal of Applied and Advanced Research, 2(4), 227-234.

Bhattacharyya, S., & Cobben, S. (2011, April). Consequences of poor power quality–An overview. In Power Quality. IntechOpen.

Bhattacharyya, S., van LUMIG, M., Cobben, S., Myrzik, J., & Kling, W. (2009, June). Consequences of poor power quality for grid operators. In CIRED 2009-20th International Conference and Exhibition on Electricity Distribution-Part 1 (pp. 1-4). IET.

Maharjan, S., Zhu, Q., Zhang, Y., Gjessing, S., & Başar, T. (2015). Demand response management in the smart grid in a large population regime. IEEE Transactions on Smart Grid, 7(1), 189-199.

Li, W. T., Yuen, C., Hassan, N. U., Tushar, W., Wen, C. K., Wood, K. L., ... & Liu, X. (2015). Demand response management for residential smart grid: From theory to practice. IEEE Access, 3, 2431-2440.


Refbacks

  • There are currently no refbacks.