An efficient energy consumption scheduler for energy optimization of a smart grid integrated with renewable energy sources.

There are many inaccessible areas around the world where the main power grid cannot function due to economic/technical constraints. Also, many new places will be built without access to the main grid due to rising popularity of renewable energy and the Micro Grid based solution. Till date, many remo

Project Title

An efficient energy consumption scheduler for energy optimization of a smart grid integrated with renewable energy sources.

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

There are many inaccessible areas around the world where the main power grid cannot function due to economic/technical constraints. Also, many new places will be built without access to the main grid due to rising popularity of renewable energy and the Micro Grid based solution. Till date, many remote areas mainly rely on burning fossil fuels to independently manage their energy demands. Such remote systems and the future new localities (will) function as a stand-alone Micro Grid. A Micro Grid is an interconnected group of distributed energy storage, distributed generators, and controllable loads within a local and clearly defined area operating independently. Micro Grid evolution also helps in reduction of fossil fuel usage and carbon emission.

Smart grid technology is changing the way utilities and customers interact, and providing support for the integration of renewable resources and energy storage to the grid. The electric utility industry is undergoing a transformation, and it’s more than a reduced role for fossil fuels and an increased emphasis on renewable resources for power generation. Energy companies are looking at ways to lower the cost of power, and the decentralization of generation is bringing about new business models and processes.

The motivation of our work will be to propose an optimal home energy management (HEM) scheme to manage the smart home activities and each user is connected with the microgrid. In our work, we will investigate a residential sector with microgrid; consisting of Renewable energy source (e.g. WT and solar panel), which is connected to the commercial grid. A backup source will also be installed for fuel cost and carbon emission minimization. Our work will tackle appliances scheduling problem to attenuate the peak to average ratio (PAR) and electricity bills in the residential sector. Based on the proposed Enhanced Lyapunov Optimization based scheme, efficient integration of microgrid will be achieved.

Project Objectives

• This study proposes an efficient energy management method to systematically manage the energy consumption.
• To alleviate the peak to average ratio and mitigate electricity cost along with user comfort maximization.
• To propose such a scheme so that consumer is able to generate its own energy from micro grid consisting of renewable energy sources.
• To reduce the carbon emissions by moving to greener and efficient energy systems from the traditional systems.
• The smart grid system is automated and does not require direct intervention from human beings.
• This work helps the system operator in reducing the energy losses on the network and lines, which may reduce drastically the indirect distribution electricity cost.
• The end-users will be able to better manage their load demand and reduce their electricity bills.
• Improving reliability ef?ciency and safety of the distribution grid through actions towards decreasing peak demand.

Project Implementation Method

First of all, we have read all the research papers related to our work and then we have taken the idea of implementation from various research papers. We gathered the main ideas from the research papers that will help us in the methodology of implementing our proposed idea. The working concepts in our work include the integration of renewable energy sources such as solar energy, wind energy.  Then we will be having some energy storage system (ESS) for storing of renewable energy. In addition to developments on the generation side advanced management, optimization concepts, algorithms and approaches on the consumer side will be taken into account in out proposed study. And as an example we have taken the system model from [1].

 [1] Aslam, Sheraz, Adia Khalid, and Nadeem Javaid. "Towards efficient energy management in smart grids considering microgrids with day-ahead energy forecasting." Electric Power Systems Research 182 (2020): 106232.       

Benefits of the Project

The traditional power system totally relies on fossil fuel-based plants and energy is   produced at a single place that is far from consumers. Also the traditional power system bears energy losses because of a huge distance among energy users and generation. Therefore, transmission and distribution lines are the key reason for blackouts. Therefore, to tackle these situations, electricity plants are needed that are near to the consumption areas. This definitely refers to the greener energy sources like smart grid. When a maximum portion of electricity consumption is produced from the smart grid, the high carbon emission problem is automatically solved, where approximately, 41% carbon footprint is emitted by the energy sector and transport sector produces 23% of total greenhouse gases around the globe. That is why the traditional power system is not feasible to fulfill the future requirements of electricity consumers. The existing power systems also cause high carbon emissions due to the heavy dependence on fossil fuels. On the other hand, the rising global demand of energy has resulted in high prices for electricity and also caused the growing environmental concern due to excess carbon emission from power generation. Integrating renewable energy sources into the grid system has become a vital green energy solution to reduce the energy cost and build a sustainable society and economy.

Technical Details of Final Deliverable

? The electricity supplier (such as electric utility, power plant operators and production units) can use the energy management to control its generation units in an efficient way. For example, to meet a certain power demand of the consumers, using energy management, the electric utility can turn on some generators, which may have the least operation cost, while the generators with high operation cost are left to supply extra load demand in specific peak periods. In this way, the electric utility is trying to minimize the operation cost of its generation units

? The system operator (such as transmission and distribution systems) can use energy management to regulate the power flow in a way to minimize the energy losses on the network and increase the penetration level of renewable energy sources (such as PV and wind farms) in an efficient way

? The end-users (such as householders, residential and commercial buildings, industries, faculties, etc.) use energy management to minimize their electricity bill and schedule their load demand in an efficient way.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Energy

Other Industries

Education , IT , Finance , Transportation , Others , Security , Telecommunication

Core Technology

Internet of Things (IoT)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Affordable and Clean Energy, Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Climate Action

Required Resources

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