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Real Time Energy Storage Management for Renewable Integration in Microgr id: An Off Line Optimization
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Real-Time Energy Storage Management for Renewable Integration in Microgr id: An Off-Line Optimization

Category : Embedded

Sub Category : Energy management

Project Code : ITEEE01

Project Abstract

Microgrid (MG) is a promising component for future smart grid (SG) deployment. The balance of supply and demand of electric energy is one of the most important requirements of MG management. In this paper, we present a novel framework for smart energy management based on the concept of quality-of-service in electricity (QoSE). Specifically, the resident electricity demand is classified into basic usage and quality usage. The basic usage is always guaranteed by theMG, while the quality usage is controlled based on the MG state. The microgrid control center (MGCC) aims to minimize the MG operation cost and maintain the outage probability of quality usage, i.e., QoSE, below a target value, by scheduling electricity among renewable energy resources, energy storage systems, and macrogrid. The problem is formulated as a constrained stochastic programming problem. The optimization technique is then applied to derive an adaptive electricity scheduling algorithm by introducing the QoSE virtual queues and energy storage virtual queues. The proposed algorithm is an online algorithm. We derive several “hard” performance bounds for the proposed algorithm, and evaluate its performance with trace-driven simulations. The simulation results demonstrate the efficacy of the proposed electricity scheduling Algorithm.

Existing System

Proposed System

     Now days, the nonrenewable energy only used for home appliance.

     There is no scheduling method is available.


Drawbacks of existing system

     The manual work is needed.

     Power consumption.


     emand for Nonrenewable energy source.

 In proposed system, we can propose a new adaptive energy scheduling system.

  Here we use the renewable energy source like solar panel.

Advantages of proposed system

  Low cost

  Reduce the power demand.

  Efficient power distribution


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