Motivation
The concept of Smart Grid describes the future of the Electric Power System, involving the increased use of communications and information technology. These technologies, incorporated in automation solutions for the control and management of electric power networks will provide a more secure and reliable electricity supply.
To achieve that goal, Smart Grids should be transformed into Self-Healing Grids, using Distributed Automation and real-time secure communications technologies to monitor the network constantly, assuring its operation at an optimum state. The Fault Detection, Isolation and Restoration capacity is the major tool of the Self-Heling infrastructure.
Its main goals are:
This is the main motivation of this work.
If the future is electric, the Electric Power System must become the ultimate creation of human engineering. Assuring a better future for all mankind.
To achieve that goal, Smart Grids should be transformed into Self-Healing Grids, using Distributed Automation and real-time secure communications technologies to monitor the network constantly, assuring its operation at an optimum state. The Fault Detection, Isolation and Restoration capacity is the major tool of the Self-Heling infrastructure.
Its main goals are:
- Supply maximum load affected by faults;
- Take the shortest time period to restore the load;
- Minimize the number of switching operations;
- Keep the network capacity within its operating limits;
This is the main motivation of this work.
If the future is electric, the Electric Power System must become the ultimate creation of human engineering. Assuring a better future for all mankind.
Objectives
- Study Smart Grids and Distributed Automation;
- Assess Self-Healing technologies in Distribution Grid Areas based on Fault Detection Isolation and Restoration algorithms, addressing network reconfiguration challenges and protection systems coordination challenges;
- Centralized DMS/SCADA technologies;
- Decentralized Substation Controller centric technologies;
- Voltage-Time coordination scheme;
- Peer-to-Peer GOOSE based communication coordination scheme;
- Assess suitable coordination settings for the correct operation of the protections system, assuring selectivity and bidirectional coordination;
- Develop a methodology to find the optimal deployment of reclosers in overhead Medium Voltage distribution networks, through a techno-economic analysis;
- Model the network;
- Characterize the distribution grid area;
- Determine the recloser’s optimal number and location to improve quality of service, leading to the best investment strategy;
Economical assessment: assure the maximum benefit due to quality of service improvement with the minimum investment possible, opposing Capital Expenditure (CAPEX) and Operational Expenditure (OPEX) against the savings due to quality of service improvement;
Methodology
Document of the methodology description
Flowchart of the methodology