Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501833
Title: The optimal placement of FACTS devices considering renewable generation and the electricity market
Author: Sookananta, Bongkoj
ISNI:       0000 0004 0123 356X
Awarding Body: The University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2009
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Abstract:
In modem electrical power systems there is trend towards an increase of renewable generation being present on the main electrical grid and energy transmission is generally operated under a deregulated environment where electricity is bought and sold in a market. This thesis investigates the effects of renewable generation intermittency and electricity market operations on optimal placement of FACTS devices. Two techniques based on the MC simulation associated with an evolutionary optimization technique are proposed for determination of the optimal placement of the FACTS device considering uncertainty of demand and renewable generation output. These techniques can be useful to support practical industrial and research activities on FACTS planning for future networks where there is a significant presence of intermittent renewables as there is no sufficient planning with respect to FACTS deployment in its current form. These methods, established in this thesis, collectively are called Renewable Uncertainty based optimal FACTS Allocation (RUF A) techniques. This is a key outcome of the research reported in this thesis. This thesis considers the operation under Power Exchange (PX) and a simplified mixed power pool with bilateral transactions as they are commonly used models and as such they provide good domain coverage in terms of their applicability. Under the PX only model, the influence of changes in price elasticity of demand on the optimal F ACTS allocation is determined. It is found that there is no strong influence on the optimal placement and only a little influence on the operational rate.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.501833  DOI: Not available
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