Abstract
This article introduces a group search optimization (GSO) based tuning model for modelling and managing Smart Micro-Grids connected system. In existing systems, typically tuned PID controllers are engaged to point out the load frequency control (LFC) problems through different tuning techniques. Though, inappropriately tuned PID controller may reveal pitiable dynamical reply and also incorrect option of integral gain may even undermine the complete system. This research is used to explain about an optimized energy management system through Group Search Optimization (GSO) for building incorporation in smart micro-grids (MGs) with zero grid-impact. The essential for this technique is to develop the MG effectiveness, when the complete PI controller requires to be tuned. Consequently, we proposed that the proposed GSO based algorithm with appropriate explanation or member representation, derivation of fitness function, producer process, scrounger process, and ranger process. An entire and adaptable design of MATLAB/SIMULINK also proposed. The related solutions and practical test verifications are given. This paper verified that the proposed method was effective in Micro-Grid (MG) applications. The comparison results demonstrate the advantage of the proposed technique and confirm its potential to solve the problem.
Highlights
Many changes have occurred in the electricity sector to improve the energy efficiency and environmental sus-How to cite this paper: Bhagawath, S. and Rajan, S.E. (2016) Managing of Smart Micro-Grid Connected Scheme Using Group Search Optimization
It is well known that the chaotic phenomena in the existing distribution grids will occur when the distributed generation (DG) penetration reach a high level compared to the net energy, causing network congestion and so compromising the energy quality by voltage and frequency disturbances
group search optimization (GSO) is used to resolve non-convex economic transmit issue [10], distribution network reconfiguration [11], mutual heat and power economic transmit issue [12], etc., because of its high effectiveness. Attraction of these studies, in this paper, we proposed an energy management approach using GSO that provides a new concept for buildings integration in smart grids
Summary
Many changes have occurred in the electricity sector to improve the energy efficiency and environmental sus-How to cite this paper: Bhagawath, S. and Rajan, S.E. (2016) Managing of Smart Micro-Grid Connected Scheme Using Group Search Optimization. Many changes have occurred in the electricity sector to improve the energy efficiency and environmental sus-. How to cite this paper: Bhagawath, S. and Rajan, S.E. E. Rajan tainability of generation, transport and final use segments, involving the need to update and improve the electric grids [1]-[3] in past years. Transport and final use segments, involving the need to update and improve the electric grids [1]-[3] in past years Another significant change regards the spread of the so-said dispersed or distributed generation (DG), including renewable sources generation plants (such as PV or wind micro-turbine) and high efficiency production systems (such as gas micro-turbine or CHP) [4]. It is well known that the chaotic phenomena in the existing distribution grids will occur when the DG penetration reach a high level compared to the net energy, causing network congestion and so compromising the energy quality by voltage and frequency disturbances
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