A FUZZY BASED PARAMETRIC MONITORING AND CONTROL ALGORITHM FOR DISTINCTIVE LOADS TO ENHANCE THE STABILITY IN RURAL ISLANDED MICROGRIDS

Fawad Azeem, Ghous Bakhsh Narejo

DOI Number
https://doi.org/10.2298/FUEE2002227A
First page
227
Last page
241

Abstract


Effective monitoring and control of isolated rural microgrid in the developing world is challenging. The modern communication and monitoring is difficult to handle in such communities due to a complicated approach to the area, lack of modern facilities and unavailability of skilled manpower. Implementation of a microgrid in such areas using intermittent renewable sources and limited storage is challenging. Uncontrolled load consumption leads to the system-wide outages due to prolonged storage utilization in peak hours and is referred here as battery storage stress hours (BSSH). This research is focused to study and analyze the behavior of parametric load monitoring and control algorithm that could control the distinctive load of the microgrid during BSSH. In the proposed algorithm, the residential loads are distinctively controlled while utilizing the three locally available parameters that are the state of the charge of storage, solar irradiations and ambient temperature. In other words, the natural parameter variations have been uniquely utilized as a monitoring tool for load control. The fuzzy controller takes a decision for the activation or deactivation of any load based on the three parameters variation ranges. It is observed from the simulation and experimental results that while only utilizing locally available parameters the effective load control is possible.


Keywords

Microgrid, stability and control, Algorithms, renewable energy, fuzzy logic, load

Full Text:

PDF

References


P. Alstone, D. Gershenson, D..M. Kammen, “Decentralized energy systems for clean electricity access”, Nature Climate Change, vol. 5, no. 4, p. 305, 2015.

G.B. Narejo, F. Azeem, M.Y. Ammar, “A survey of control strategies for implementation of optimized and reliable operation of renewable energy based microgrids in islanded mode”, vol. 2015, 2015.

D. Burmester, “A review of nanogrid topologies and technologies”, Renewable and Sustainable Energy Reviews, vol. 67, pp. 760–775, 2017.

A. Burgio, “A compact nanogrid for home applications with a behaviour-treebased central controller”, Applied Energy, vol. 225, pp. 14–26, 2018.

S. Sheng, “Optimal power flow management in a photovoltaic nanogrid with batteries”, In Proceedings of the Energy Conversion Congress and Exposition (ECCE), 2015, vol. 2015.

D. Burmester, R. Rayudu, W. Seah, “Use of Maximum Power Point Tracking Signal for Instantaneous Management of Thermostatically Controlled loads in a DC Nanogrid”, IEEE Transactions on Smart Grid, 2017.

T.L. Nguyen, G. Griepentrog, “A self-sustained and flexible decentralized control strategy for DC nanogrids in remote areas/islands”, 2017.

M. Nasir, “A Decentralized Control Architecture applied to DC Nanogrid Clusters for Rural Electrification in Developing Regions”, IEEE Transactions on Power Electronics, 2018.

A. Werth, N. Kitamura, K. Tanaka, “Conceptual study for open energy systems: distributed energy network using interconnected DC nanogrids”, IEEE Transactions on Smart Grid, vol. 6, no. 4, pp. 1621–1630, 2015.

M.A.F. Ghazvini, J. Soares, O. Abrishambaf, R. Castro, Z. Vale, “Demand response implementation in smart households”, Energy and Buildings, vol. 143, pp.129–148, 2017.

B. Soltowski, S. Strachan, O. Anaya-Lara, D. Frame, M. Dolan, “Using smart power management control to maximize energy utilization and reliability within a microgrid of interconnected solar home systems”, In Proceedings of the 7th Annual IEEE Global Humanitarian Technologies Conference, GHTC 2017, pp. 1–7.

R.K. Chauhan, B.S. Rajpurohit, F.M. Gonzalez-Longatt, S.N. Singh, “Intelligent energy management system for PV-battery-based microgrids in future DC homes”, International Journal of Emerging Electric Power Systems, vol. 17, no. 3, pp. 339–350, 2016.

A. Manur, L. Shaver, A. Sivit, G. Venkataramanan, S. Subbarao, “MEM: Energy management system for low voltage DC microgrids”, In Proceedings of the IEEE International Conference on Sustainable Green Buildings and Communities (SGBC), 2016, pp. 1–6.

M. GraellsSobré, “Cooperative energy management for a cluster of household’s prosumers”, IEEE transactions on consumer electronics, vol. 62, no. 3, pp. 235–242, 2016.

J. Gouveia, C. Gouveia, J. Rodrigues, R. Bessa, A.G. Madureira, R. Pinto, C.L. Moreira, J.P. Lopes, “Microgrid energy balance management for emergency operation”, In Proceedings of the IEEE PowerTech IEEE Manchester, 2017, pp. 1–6.

D. Akinyele, J. Belikov, Y. Levron, “Challenges of Microgrids in Remote Communities: A STEEP Model Application”, Energies, vol. 11, no. 2, p. 432, 2018.

K. Salemink, D. Strijker, G. Bosworth, “Rural development in the digital age: A systematic literature review on unequal ICT availability, adoption, and use in rural areas”, Journal of Rural Studies, vol. 54, pp. 360–371, 2017.

F. Azeem, G.B. Narejo, U.A. Shah, “Integration of renewable distributed generation with storage and demand side load management in rural islanded microgrid”, Energy Efficiency, pp.1–19, 2018.

Eun-Kyu Lee, et al., “Design and implementation of a microgrid energy management system”, Sustainability, vol. 8, no. 11, p. 1143, 2016.

T.R. Ayodele, A.S.O. Ogunjuyigbe, K.O. Akpeji, and O.O. Akinola, “Prioritized rule based load management technique for residential building powered by PV/battery system”, Engineering science and technology, an international journal, vol. 20, no. 3, pp. 859–873, 2017.

A. Adeli, N. Mehdi, “A fuzzy expert system for heart disease diagnosis,” In Proceedings of International Multi Conference of Engineers and Computer Scientists, Hong Kong, 2010, vol. 1.

S.T. Cady, A.D. Domínguez-García, C.N. Hadjicostis, “A distributed generation control architecture for islanded AC microgrids”, IEEE Transactions on Control Systems Technology, vol. 23, no. 5, pp. 1717–1735, 2015.

A. Mezouari, R. Elgouri, M. Alareqi, K. Mateur, H. Dahou, and L. Hlou, “A New Photovoltaic Blocks Mutualization System for Micro-Grids Using an Arduino Board and Labview”, International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 9, no. 1, pp. 98–104, 2018.

F. Issi, K. Orhan, “The Determination of Load Profiles and Power Consumptions of Home Appliances”, Energies, vol. 11, no. 3, p. 607, 2018.

T. R. A. N. Tuan, et al., “Control algorithms for micro-grid local controllers”, 2018.

A. M. Tripathi, A. Kumar Singh, A. Kumar, “Information and communication technology for rural development”, International Journal on Computer Science and Engineering, vol. 4, no. 5, p. 824, 2012.

C. Gamarra, J. M. Guerrero, “Computational optimization techniques applied to microgrids planning: A review”, Renewable and Sustainable Energy Reviews, vol. 48, pp. 413–424, 2015.


Refbacks

  • There are currently no refbacks.


ISSN: 0353-3670 (Print)

ISSN: 2217-5997 (Online)

COBISS.SR-ID 12826626