Next Article in Journal
Effect of Blade Pitch Angle on the Aerodynamic Characteristics of a Straight-bladed Vertical Axis Wind Turbine Based on Experiments and Simulations
Previous Article in Journal
Experimental Investigation of the Use of Waste Mineral Oils as a Fuel with Organic-Based Mn Additive
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Energies 2018, 11(6), 1513; https://doi.org/10.3390/en11061513

Jaya based Optimization Method with High Dispatchable Distributed Generation for Residential Microgrid

1
Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
2
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Islamabad 44000, Pakistan
3
Department of Electronics and Communication Engineering, Kwangwoon University, Seoul 01897, Korea
4
Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan
5
CIS, Higher Colleges of Technology, Fujairah 4114, United Arab Emirates
*
Author to whom correspondence should be addressed.
Received: 17 May 2018 / Revised: 29 May 2018 / Accepted: 1 June 2018 / Published: 11 June 2018
View Full-Text   |   Download PDF [533 KB, uploaded 11 June 2018]   |  

Abstract

This paper presents a model for optimal energy management under the time-of-use (ToU) and critical peak price (CPP) market in a microgrid. The microgrid consists of intermittent dispatchable distributed generators, energy storage systems, and multi-home load demands. The optimal energy management problem is a challenging task due to the inherent stochastic behavior of the renewable energy resources. In the past, medium-sized distributed energy resource generation was injected into the main grid with no feasible control mechanism to prevent the waste of power generated by a distributed energy resource which has no control mechanism, especially when the grid power limit is altered. Thus, a Jaya-based optimization method is proposed to shift dispatchable distributed generators within the ToU and CPP scheduling horizon. The proposed model coordinates the power supply of the microgrid components, and trades with the main grid to reduce its fuel costs, production costs, and also maximize the monetary profit from sales revenue. The proposed method is implemented on two microgrid operations: the standalone and grid-connected modes. The simulation results are compared with other optimization methods: enhanced differential evolution (EDE) and strawberry algorithm (SBA). Finally, simulation results show that the Jaya-based optimization method minimizes the fuel cost by up to 38.13%, production cost by up to 93.89%, and yields a monetary benefit of up to 72.78% from sales revenue. View Full-Text
Keywords: Jaya algorithm; Smart Grid; optimal energy management; residential microgrid; distributed generation; microgrid; optimal scheduling Jaya algorithm; Smart Grid; optimal energy management; residential microgrid; distributed generation; microgrid; optimal scheduling
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Samuel, O.; Javaid, N.; Ashraf, M.; Ishmanov, F.; Afzal, M.K.; Khan, Z.A. Jaya based Optimization Method with High Dispatchable Distributed Generation for Residential Microgrid. Energies 2018, 11, 1513.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top