Abstract

In recent year, alarming rate of natural disasters around the world have demanded the need for operative solution in field of power generation, to control polluted energy sources which are major cause of global warming. Microgrid facilitates penetration of renewable energy sources into the existing distribution systems to reduce the overall carbon footprint of the globe by reducing the dependency on the main grid. Efficient but linear microgrid resource scheduling algorithms are gaining interest in present time due to its simplicity and fast computation. This research paper aims to serve the purposes by designing a mixed integer linear programming based microgrid scheduling problem while various types of scenario, minimize the electricity cost for the utilities also maintain the generation and load balance. The strategy is implemented on a small microgrid to prove its efficacy .In this paper mainly optimal scheduling of microgrid has been done in various scenario, and obtained there global minimum electricity cost to the help of mixed integer linear programming (MILP) algorithm. Microgrid is a small scale type of power grid, which provides the energy locally, its offers integration between distributed energy resources and the locally connected loads. Microgrid able to be operated with the main grid and in standalone mode also ability to transitions between these two modes, the mode of operation of microgrid is depends on the system operating condition. The reliability of power grid is improving more when it’s integrated with the Microgrid and works together. Power exchange with the upper stream grid is done through the point of common coupling (PCC). Microgrid having renewable energy resources i.e. PV, Wind and non-renewable energy resources, DG, FC, and MC connected with the Battery storage type system and locally connected loads. So it is a very reliable scenario, main grid with the microgrid, it is more beneficial, economy and stable types of system. Keywords : Optimal Microgrid Scheduling, Linear Programming DOI : 10.7176/APTA/76-05 Publication date :March 31 st 2019

Highlights

  • The microgrid is a combination of different types of energy sources, such as PV, Wind, Battery storage system, Diesel generator, Fuel cell etc

  • The scheduling of microgrid is performed by the microgrid master controller (MGMC) in grid connected and islanded modes, based on reliability, security and economic considerations

  • We know very well the PV and the wind plant are www.iiste.org non- dispachable type of power resources, because it is depends on the environment constraints, but they provide the power in free of cost, there are no any generation cost required for the PV and Wind plants

Read more

Summary

Introduction

The microgrid is a combination of different types of energy sources, such as PV, Wind, Battery storage system, Diesel generator, Fuel cell etc. Presence of binary variables in the formulation makes the non-linear method much more complex in nature All this problem having in the non-linear system, in this work the optimal scheduling of microgrid had been done to use of linear formulation, because of it global minimum optimal solution, if the scheduling of microgrid has been done with the help of linear formulation, its gives most feasible solution, and minimum cost www.iiste.org of electricity, in case of microgrid the scheduling is a big task due to its non-renewable and renewable type of energy sources, but in case of MILP we have done the optimal scheduling of microgrid , with low computation and feasible solution it is a efficient method for the scheduling of microgrid

Scheduling algorithm
System Model
Constraints
Comparisons between all three cases
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.