Thesis
Demand side self-scheduling under dynamic pricing uncertainty
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2020
- Thesis identifier
- T15812
- Person Identifier (Local)
- 201255792
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- The ever increasing integration of renewable energy sources creates a challengefor electric network operation. Addressing the challenge called for changes in systemoperation, in particular at distribution level. Demand side flexibility is one of the keysolutions proposed. Presently, customers start to actively manage their own energyconsumption. To manage the growing demand side flexibility and utilise it to benefitgrid operation, Demand Side Management (DSM) technologies are applied to managethe consumption, assist system balancing and ensure the security of supply. DirectLoad Control (DLC) is a typical DSM technique, where demand corresponds to directcontrol signals and being directly controlled by an external entity with short notice.Under DLC, this may significantly discourage consumers to actively participate inDLC due to distrust and perceived intrusiveness.This thesis proposes a novel customer-centred self-scheduling concept that iscapable to overcome the distrust and perceived intrusiveness issues caused by DLC.The self-scheduling approach encourages consumers to participate and make their owndecisions regarding when and how much they are going to consume domesticappliances rather than remotely switched by operators /aggregators.Consumer-centred scheduling tools (a basic and a stochastic tool) have beendeveloped in this research. The novelty of the developed scheduling tools is itminimizes the expense of end-users’ energy consumption by automatically scheduleload devices, while satisfies consumer’s electricity usage preferences and theirpredetermined living patterns. Moreover, the novel stochastic scheduling tool alsoconsidered the rising uncertainty in the power system. It coordinates network/systemoperators’ request and dynamic end-users energy usage behaviour, by combining longterm and short term planning into one procedure.The developed scheduling tools are able to aid consumers to monitor the electricityprice signals intelligently, react to the network operators’ requirements, achieveenergy bill savings automatically, and satisfy consumers’ energy consumptionpreferences at the same time.
- Advisor / supervisor
- Kockar, Ivana
- Resource Type
- Note
- Previously held under moratorium from 1st July 2020 until 1st July 2024.
- DOI
- Date Created
- 2020
- Former identifier
- 9912973392802996
Relations
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