Electricity distribution system planning considering incentive reliability regulations

Research output: ThesisDoctoral ThesisMonograph


Electricity distribution systems are dynamically expanded in anticipation of new demands. Cost and reliability are the most important factors in finding the optimal plans for the network expansion. Recently, implementation of incentive reliability regulations has accentuated the role of reliability considerations in distribution systems studies. This is because such incentive schemes create a direct link between distribution companies' revenues and their service reliability. Thus, these schemes have changed the role of reliability from a technical constraint to an economic factor. In this occasion, distribution companies require new techniques to incorporate the effects of incentive reliability regulations in their planning studies to get the most benefits. Motivated by these points, in this dissertation, various mathematical models are developed to incorporate the incentive reliability regulations into the planning studies of electricity distribution networks. Due to the rapid pace of technological advances in distribution systems, the proposed models consider a wide range of possible scenarios for future networks such as energy hubs, preventive maintenance scheduling, interconnection with natural gas distribution networks, and integration of various distributed generation technologies. In this respect, mathematical models for co-expansion planning of integrated electricity and natural gas networks, optimal scheduling of preventive maintenance actions, and optimal energy hub planning are devised. In addition, various frameworks are proposed to investigate the impacts of parameters of the incentive reliability schemes on distribution companies performance and potential outcomes of the implementation of the incentive regulations. In order to incorporate the reliability regulations into the panning studies, reliability indices must be quantified. Nonetheless, conventional reliability assessment techniques are not applicable due to their limitations. Novel reliability evaluation techniques are proposed in this thesis to address this issue. The proposed reliability models are cast as mixed-integer linear programming expressions which facilitates their integrations into standard mathematical programming models for distribution system planning and operation. It is worth mentioning that the reliability assessment models developed in this thesis can be applied to both passive and active distribution networks.
Translated title of the contributionElectricity distribution system planning considering incentive reliability regulations
Original languageEnglish
QualificationDoctor's degree
Awarding Institution
  • Aalto University
  • Lehtonen, Matti, Supervising Professor
  • Abbaspour-Tehranifard, Ali, Supervising Professor, External person
  • Fotuhi-Firuzabad, Mahmud, Supervising Professor, External person
  • Lehtonen, Matti, Thesis Advisor
Print ISBNs978-952-60-3955-8
Electronic ISBNs978-952-60-3956-5
Publication statusPublished - 2020
MoE publication typeG4 Doctoral dissertation (monograph)


  • distributed generation
  • electricity power distribution system
  • electricity distribution system planning
  • energy hub
  • expansion co-planning
  • expansion planning
  • incentive reliability regulations
  • mixed-integer linear programming

Fingerprint Dive into the research topics of 'Electricity distribution system planning considering incentive reliability regulations'. Together they form a unique fingerprint.

Cite this