Multi Objective Based Framework for Energy Management of Smart Micro Grid /

Abstract

Micro-grid (MG) provides the promising solution with the help of renewable energy resources (RER), energy storage system and distribution system (DGs) for expansion and advancement of such distribution network which is complex, unfeasible, eco-unfriendly, not economical and has high power loss. This paper deals abovementioned problems with the help of Home Energy Management Controller (HEMC), Energy Market Management Controller (EMMC) and Control Agent (CA) to optimize cost, power and Green House Gasses (GHG) by managing an individuals load and energy market in the presence of local generation, storage system, DGs and Utility, without disturbing end users comfort. Two level energy management is proposed to achieve concern goals, first is to manage load and schedule storage with respect to individuals local generation and market pricing while second is to manage energy market with the help of four different types of priorities and control agent input.Multi objective problems are optimized by one of meta heuristic optimization, Grey Wolf Optimization (GWO), which gave more handsome solution by comparing with particle Swarm Optimization (PSO). Proposed work has been implemented on considerd the community. Homes within that community have different economic conditions and personal priorties. Simulation results demonstrate about the achievement of goals of the proposed work.