In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Evaluating and Planning Flexibility in a Sustainable Power System with Large Wind Penetration

Ma, Juan

[Thesis]. Manchester, UK: The University of Manchester; 2012.

Access to files

Abstract

Flexibility describes the system ability to cope with events that may cause imbalance between electricity supply and demand while maintaining the system reliability in a cost-effective manner. Flexibility has always been present in the power system to cater for unplanned generator outages and demand uncertainty and variability. The arrival of wind generation with its variable and hard to predict nature increases the overall needs for system flexibility.This thesis provides a systematic approach for investigating the role of flexibility in different power system activities including generation scheduling, generation planning and market operation, and furthermore proposes two ‘offline’ indices for flexibility evaluation.Using the tools and metrics presented in this thesis, it is possible to perform the following tasks:• Conduct generation scheduling simulation to evaluate the impacts of wind on the flexibility requirement of power systems;• Use the unit construction and commitment algorithm to 1) estimate the maximum allowable wind capacity for an existing system; 2) find the optimal investment of new flexible units for accommodating more wind generation; and 3) decide an optimal generation mix for integrating a given wind penetration;• Use the market model to reveal the value and profitability of flexibility and evaluate the corresponding effects of alternative market design;• Use the two proposed flexibility indices to quantitatively assess the flexibility of individual generators and power systems without undertaking complex and time consuming simulations.

Bibliographic metadata

Type of resource:
Content type:
Form of thesis:
Type of submission:
Degree type:
Doctor of Philosophy
Degree programme:
PhD Electrical and Electronic Engineering
Publication date:
Location:
Manchester, UK
Total pages:
202
Abstract:
Flexibility describes the system ability to cope with events that may cause imbalance between electricity supply and demand while maintaining the system reliability in a cost-effective manner. Flexibility has always been present in the power system to cater for unplanned generator outages and demand uncertainty and variability. The arrival of wind generation with its variable and hard to predict nature increases the overall needs for system flexibility.This thesis provides a systematic approach for investigating the role of flexibility in different power system activities including generation scheduling, generation planning and market operation, and furthermore proposes two ‘offline’ indices for flexibility evaluation.Using the tools and metrics presented in this thesis, it is possible to perform the following tasks:• Conduct generation scheduling simulation to evaluate the impacts of wind on the flexibility requirement of power systems;• Use the unit construction and commitment algorithm to 1) estimate the maximum allowable wind capacity for an existing system; 2) find the optimal investment of new flexible units for accommodating more wind generation; and 3) decide an optimal generation mix for integrating a given wind penetration;• Use the market model to reveal the value and profitability of flexibility and evaluate the corresponding effects of alternative market design;• Use the two proposed flexibility indices to quantitatively assess the flexibility of individual generators and power systems without undertaking complex and time consuming simulations.
Thesis main supervisor(s):
Thesis advisor(s):
Funder(s):
Language:
en

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:159038
Created by:
Ma, Juan
Created:
16th April, 2012, 22:28:36
Last modified by:
Ma, Juan
Last modified:
16th May, 2013, 19:35:03

Can we help?

The library chat service will be available from 11am-3pm Monday to Friday (excluding Bank Holidays). You can also email your enquiry to us.