Dynamic Energy management with renewable Energy And Storage System in smart Grid

Pricing schemes have gained a valuable research area after the introduction of smart grid. Different from the traditional power grid, in smart grids, the supply and demand side interacts with each other by exchanging the price and demand information, aiming to minimize over-provision at the supply s

Project Title

Dynamic Energy management with renewable Energy And Storage System in smart Grid

Project Area of Specialization

Artificial Intelligence

Project Summary

Pricing schemes have gained a valuable research area after the introduction of smart grid. Different from the traditional power grid, in smart grids, the supply and demand side interacts with each other by exchanging the price and demand information, aiming to minimize over-provision at the supply side. To improve efficiency, reduce peak load and balance the demand and supply dynamic pricing has been advocated a promising technology [1].The concept of dynamic pricing is a basic component of smart grid in which supplierprovides a time varying electricity price. In such scheme much preference is given to consumer where he can control various appliances according to its requirement. Moreover a locally generated power using renewable energy resources can be integrated with the storage system so that surplus energy can be sold back with small recompense. The power generated at the local level and the use of power through renewable sources of energy aids to reduce the greenhouse emission [2].

We are developing a unique model using the concept of piece wise pricing with renewable energy source and storage system to make the overall system more reliable. Renewable energy with storage system provide flexibility but overall management and control of the system becomes complex[3].Energy storage only has been considered for power balancing to pledge the variability of renewable generation and increase grid dependability and steadiness and for customers to decrease electricity cost. Renewable energy generation is assumed known ahead and basic information about load statistics is assumed [4].

Integrating renewableenergywithstoragesystemhascomplicatedthesimulationsbutsystem stabilitywillincrease.Inourworkthekeyobjectiveistoretaintheconstantsupply to all the users without much affecting their cost and comfort especially theusers who have high demand. Incentives will be given to the users who have fixed demand and instead of penalty for the users who have high demand battery will provide supply at lower cost. Proposed work has been implemented using MATLAB.ForonedaythebillforindividualuserwithoutRES&ESSis650PKR and when RES&ESS is integrated with the module the bill becomes 474.5 PKR. Results illustrate that there is 8.5% reduction in bill after running the proposed algorithm with RES& ESS. Moreover, comfort of users and grid stability is also achieved. The results show effectiveness of the proposedscheme.

Project Objectives

The main objective is to reduce demand supply gap along with cost minimization, user comfort and grid stability. In [9] the author has discussed practical closed-loop dynamic pricing using piece wise pricing function. The goal of this pricing scheme is to provide incentive to the users who have low and guaranteed demand and penalty to the users who have variable and exceed demand. This pricing scheme is divided into three categories low price for guaranteed demand, a bit higher price for flexible demand and penalty to the exceed demand. Our main goal is to reduce the penalty factor for the users whose demand is greater than supply for that we are using a renewable source integrated with storage system to make grid more stable. Although the integrated system will be complex but it will greatly increase the system stability, maintain user comfort and provide power at low cost. The pricing scheme for renewable will be completely independent and will be less than the cost of electricity provided by the grid at peak hours. Control center will be established that will communicate between suppliers and users and will set the prices automatically. Moreover battery can be charged by the renewable source as well as grid. Battery charging and discharging will be scheduled by the control center.

Project Implementation Method

Till now, different techniques have been used for dynamic energy management. For our work we are using multiple Knapsack problem (MKP) solving technique for dynamic energy management integrated with energy storage system. MATLAB will be used for modeling and simulation of whole work. In this proposed model we have three classes of users A, B and C having prices p1, p2 &p3  respectively. User “A”,”B”& “C “has fixed, flexible and exceed demand respectively. The total demand is “D” and total supply is “S” such that S?D for Class A and class B. Class C have the users who have variable load and their demand is sometimes greater than supply (D?S) for that we have an energy storage system having energy ?mj .it is assumed that  ?mj>dc  where dc  is the maximum demand of class “C”. Foreasiness we consider ‘n’ classes of users that have to be reserved in “m” time slots. The pricefunctioncost(t)  is  piece wise continualfunction that shows the cost of power depletion at  time slot “t”.Class “A” will provide its fixed demand to the supplier in advance; in return supplier will provide energy to this user at lowest possible cost. Class “B” has flexible demand, for fixed demand supplier will provide energy at low cost and will ask the user to fix its demand further to get low price as an incentive. If user disagrees with the supplier then energy will be provided at high rate and process continues for the specific period of time. Class “C” has variable and exceed demand for that supplier will impose penalty as high price .As long as the supplier can provide power to this user without penalty grid continues to supply but when (D?S) then supply from the grid is disconnected and battery will provide the required energy. So in this way renewable energy integrated with storage system will not only maintain the user comfort and price but also maintains grid stability.

Benefits of the Project

1. Reduction in consumers Electricity bill
2. Grid's stability
3. Grid's realiablity
4. Maximum User's comfort
5. Integration of renewable Energy resouces into exsisting grids
6. Effective use of storage systems
7. To get rid of fossils fuels
8. Reduction in emission of carbon monoxide and other pollutant gases

Technical Details of Final Deliverable

We aim to minimize the randomness of demand and to reduce demand supply gap with cost minimization. Though the renewable source with integrated storage system will make the system complex but we did it.

Proposed work has been implemented using MATLAB.ForonedaythebillforindividualuserwithoutRES&ESSis650PKR and when RES&ESS is integrated with the module the bill becomes 474.5 PKR. Results illustrate that there is 8.5% reduction in bill after running the proposed algorithm with RES& ESS. Moreover, comfort of users and grid stability is also achieved. The results show effectiveness of the proposedscheme

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Energy

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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