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Reliability improvement of distribution systems using SSVR.
Mehdi Hosseini1, Heidar Ali Shayanfar, Mahmoud Fotuhi-Firuzabad
1Center of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran. mehdi_hosseini@iust.ac.ir
ISA Transactions
|November 14, 2008
Summary
This study introduces a novel algorithm for assessing distribution system reliability, incorporating Static Series Voltage Regulators (SSVR) and various operational factors like distributed generation. The algorithm efficiently evaluates system performance and optimizes SSVR placement for enhanced reliability.
Area of Science:
- Electrical Engineering
- Power Systems Engineering
- Reliability Engineering
Background:
- Distribution systems face challenges in maintaining reliability due to factors like distributed generation and operational changes.
- Existing reliability assessment methods may not fully capture the complex interactions within modern distribution systems.
Purpose of the Study:
- To develop and validate a comprehensive reliability assessment algorithm for distribution systems.
- To evaluate the impact of Static Series Voltage Regulators (SSVR) and operational factors on system reliability indices.
- To determine optimal SSVR placement for improved power system performance.
Main Methods:
- Development of a novel reliability assessment algorithm incorporating SSVR.
- Classification of load points into 8 types with distinct restoration times.
- Comparative analysis of distributed generation and alternative source unavailability impacts.
- Evaluation of customer-oriented (SAIFI, SAIDI, CAIDI ASUI) and load/energy-oriented (ENS, AENS) reliability indices.
- Testing the algorithm on standard 33 and 69-node distribution systems.
Main Results:
- The proposed algorithm effectively assesses reliability in large-scale radial distribution systems.
- It accurately accounts for fault isolation and load restoration processes.
- Optimal SSVR locations were identified based on various reliability metrics.
- The study quantified the influence of DG and alternative source intermittency on system reliability.
Conclusions:
- The developed algorithm provides an efficient and effective tool for distribution system reliability assessment.
- SSVR integration significantly enhances system reliability, with optimal placement being crucial.
- The algorithm's ability to model complex operational scenarios offers valuable insights for power system planning and operation.
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