Generation system reliability with wind and solar power

For the purpose of environmental concerns, carbon emission reduction targets are established in Europe. For example, UK National Grid has developed their scenarios such as 'gone green', 'slow progression' which may change the patterns of UK transmission network operation. As a result, the integrated level of renewable energy such as wind power and solar power will increase. Therefore, it is worth to test and predict the system performance when great amount of conventional generators are substituted by renewable energy. This thesis is focus on evaluating the impacts of utilizing significant amounts of wind or solar energy sources in large on-grid power systems and analyzing the system reliability performance based on probabilistic method. A capacity outage probability table (COPT) for conventional generating units is introduced first in this thesis. The conventional generator is represented which based on the well-known recursive technique. Then, the sequential Monte Carlo Simulation method is proposed for creating wind turbine output model, and PV solar energy output model. The Roy Test System (RBTS) is selected for this study. Results shown that the reliability decrease a lot when substitute conventional generator by renewable energy. Wind power have better reliability performance compare with solar when same amount of each type of generators substitute the conventional generators. It is also demonstrated that the help of storage system introduced in solar PV plant has a great help in improving the reliability and it is possible to reach the same reliabilitylevel of the original network but additional renewable energy need to be added into the system.

Name dc:type.qualificationname

mphil

Level dc:type.qualificationlevel

masters-pg

Grantor dc:publisher.institution

University of Strathclyde

Year dc:date.issued

2013

Author dc:creator

• Ji, Chen Chen

DOI

10.48730/z6n4-b091

Identifier

T13611

OAI identifier oai:identifier

oai:strathclyde:ww72bb48n