LAST METER SMART GRID EMBEDDED IN AN INTERNET OF THINGS PLATFORM

GuideMr. B.Balu

Asst. Professor

Presented By :

Md.Mushraf (12641A0222)T.Bharath(12641a0256)B.Shiva (12641A0206)M,Bhanu Prathap (12641A0236)S.Ashok (12641A0253)

ABSTRACT

• The customer domain of the smart grid naturally blends with smart home and smart building systems, but typical proposed approaches are “distributor-centric” rather than “customer-centric,” undermining user acceptance.

• To solve this problem, we propose a detailed architecture and an implementation of a “last-meter” smart grid—the portion of the smart grid on customer premises—embedded in an internet-of-things (IoT) platform

• Our approach has four aspects of novelty and advantages with respect to the state of the art:

1) seamless integration of smart grid with smart home applications 2) data gathering from heterogeneous sensor communication protocols 3) secure and customized data access; and 4) univocal sensor.

INTRODUCTION

• The last-meter smart grid is the portion of the smart grid closer to the home, and the one with which customers interact.

• It allows a two-way data flow between customers and electric utilities, transforming the “traditionally passive end-users into active players” in the energy market.

• The last-meter smart grid corresponds to the “customer domain.” It enables residential, commercial, and industrial customers based on their different energy needs to optimize energy consumption and local generation.

• They reach customers’ premises with an ad-hoc network of smart meters connected by general packet radio service (gprs) or, sometimes, with a dedicated programmable logic controller (plc) technology .

BLOCK DIAGRAM

PLATFORM FOR THE INTERNET OF THINGS

• We have developed a platform for the IoT as a scalable distributed

system that can seamlessly support an in-home smart grid and

different concurrent applications for remote monitoring and

control.

• It consists of three main parts:

1)the sensor and actuator networks,

2)the IoT server and

3)the user interfaces for visualization and management.

SENSOR AND ACTUATOR NETWORKS

• The sensor and actuator nodes can be part of networks implemented with wired (e.g., controller area network (CAN), PLC) or wireless (e.g., ZigBee, Wi-Fi, Bluetooth) network protocols.

• The architecture can accommodate different and heterogeneous sensor and actuator networks.

• The data management unit is responsible for translating information to the format required by the sensor database.

• On the other hand, bidirectional communication channels to/from the nodes enable the IoT server to interrogate, configure, and program them.

• The interface between sensor networks and the platform is based on a communication protocol between the gateway and the IoT server defined by API specifications.

IP GATEWAY

• The gateway is the element connecting a sensor/actuator network if it has no direct IP capability to the IoT server via an IP link.

• The gateway is bidirectional: for uplink communication it collects data received from the network nodes, performs reformatting/encapsulation if required,

• the gateway sends network packets over TCP/IP in the native format and both the gateway and the message dispatcher are transparent at the logical communication level between nodes and IoT server.

IOT SERVER

USER INTERFACE

ADVANTAGES• It seamlessly integrates smart grid with smart home applications. • We assume that the typical early adopter of a last-meter smart grid is also a user

of smart home applications (dedicated to security, entertainment, home automation, etc).

• It can gather data from heterogeneous sensor communication protocols. • It allows different wireless or wired protocols to be used for communications

between meters, users, and other parts of the system.• It provides secure and differentiated access to data.• Single customers have complete fine-grained access to their own data, and can

enable access by third parties.• On the other hand, distributors and energy utilities can receive coarse-grained

and aggregated statistical data.• It allows to univocally map each sensor and actuator to a common abstraction

layer.

THANK YOU