Abstract

Over the years, probabilistic nature of renewable energy sources (RES) and its influence on power system adequacy have been well studied. However, rather less attention has been paid to the impact of RES unit itself's and its power conversion system's (PCS') reliability, as well as their various connection topologies. This paper devises a comprehensive sensitivity study on how each of these elements can affect overall generating system reliability. given the plethora of RES configurations and components, it is of import to identify the most vulnerable element in RES. In this work, component importance is extended, for the first time, to generating capacity adequacy assessment (HLI). Measurement index is the centerpiece in reliability importance. New indices have to be introduced to facilitate the study. While the physical meaning of previously developed indices is lost, in this study indices are proposed based on traditional importance measures, of which the physical meaning are strictly retained and consistent with the definitions. With the proposed assessment technique, components in various RES configuration can be ranked according to their reliability importance. It is found in the numerical study that different importance measures (such as risk-achievement based measures and risk-reduction based measures) can result in different rankings. Studies on contributing factors of the reliability importance are also performed. As more and more RES gaining foothold in generating systems, the proposed technique assist to achieve targeted reliability level of the system, by easily identifying and prioritizing reliability improvement tasks among various units/components in the increasing complex system.

Highlights

  • Renewable energy sources (RES) are taking up power generation’s role as their penetration level waxes year by year

  • EVALUATION PROCEDURE The proposed concept of reliability importance is incorporated in HLI reliability evaluation program using analytical technique

  • Calculate qB for each branch; 3) Calculate capacity states for RES penetration corresponding to their topologies (Section III) and calculate LOLP(p) and loss of energy expectation (LOEE)(p) using updated COPT; 4) For each branch of concern, obtain LOLP and LOEE for LOEE for (1i, p) and (0i, p) by repeating 3 with its forced outage rate (FOR) set to 0 and 1, respectively

Read more

Summary

INTRODUCTION

Renewable energy sources (RES) are taking up power generation’s role as their penetration level waxes year by year. Billinton and Huang [3] gave a detailed comparison on different models that interpret capacity states of wind farms in reliability evaluation In these studies wind turbine generators (WTGs) are assumed 100% reliable while the reliability and formation their power electronic interfaces are considered. Methodologies are proposed in order to study the effect of RES units and PCS on generating capacity reliability. Reliability impact of various RES generating units and PCS can be appraised. The distinct difference is that a generating unit often has multiple capacity states whereas traditional reliability importance only considers components with binary states. Indices are proposed in order to measure from different angles component reliability importance to generating systems. The rank with respect to different importance measures can be obtained

SYSTEM SIMPLIFICATION
MULTI-BRANCH FORMATION
MULTIPLE BRANCHES
RELIABILITY IMPORTANCE MEASURES FOR GENERATING SYSTEM
BIRNBAUM’S IMPORTANCE MEASURES FOR GENERATING SYSTEM RELIABILITY
EVALUATION PROCEDURE
NUMERICAL STUDY
CONCLUSION
RISK ACHIEVEMENT WORTH AND RISK REDUCTION WORTH
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call