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A Smart Distribution Toolbox for Distribution System Planning
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0003-4443-7653
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0003-4074-9529
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0002-4004-0352
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.
Visa övriga samt affilieringar
2015 (Engelska)Konferensbidrag, Enbart muntlig presentation (Refereegranskat)
Abstract [en]

The distribution system planner should be able to coordinate smart grid solutions in order to find cost effective expansions plans. These plans should be able to deal with new added system uncertainties from renewable production and consumers while guaranteeing power quality and availability of supply. This paper proposes a structure for distribution systems planning oriented to help the planner in deciding how to make use of smart solutions for achieving the described task. Here, the concept of a system planning toolbox is introduced and supported with a review of relevant works implementing smart solutions. These are colligated in a way that the system planner can foresee what to expect with their combined implementation. Future developments in this subject should attempt to theorize a practical algorithm in an optimization and decision making context.

Ort, förlag, år, upplaga, sidor
2015.
Nationell ämneskategori
Annan elektroteknik och elektronik
Forskningsämne
Elkraftteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-31486Lokalt ID: 5ab96432-eb8d-4e2e-a156-74ee1aa39629OAI: oai:DiVA.org:ltu-31486DiVA, id: diva2:1004720
Konferens
International Conference and Exhibition on Electricity Distribution : 15/06/2015 - 18/06/2015
Anmärkning
Godkänd; 2015; 20150626 (manalv)Tillgänglig från: 2016-09-30 Skapad: 2016-09-30 Senast uppdaterad: 2017-11-25Bibliografiskt granskad
Ingår i avhandling
1. Stochastic Planning of Smart Electricity Distribution Networks
Öppna denna publikation i ny flik eller fönster >>Stochastic Planning of Smart Electricity Distribution Networks
2017 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The penetration of intermittent Distributed Generation (DG) brought additional uncertainty to the system operation and planning. To cope with uncertainties the Distribution System Operator (DSO) could implement several strategies. These strategies range from the inclusion of smart technologies which will increment system’s flexibility and resiliency, to improvements in forecasting, modeling, and regulatory pledge that will facilitate the planning activity. Regardless of the nature of the solutions, they could be collected in a sort of toolbox. The planner will access the toolbox to conform cost effective plans, better able to deal with any uncertainty. The present work will address the problem of distribution system planning under uncertainties, considering smart solutions along with traditional reinforcements, in the short-term lead time up to 3 years ahead. The work will be focused on three aspects that are the cornerstones of this work:

 • A planning facilitating strategy: Distribution Capacity Contracts (DCCs).

 • A flexibility enabler technology: Energy Storage.

 • A binding methodology: Multistage Stochastic Programming. Stochastic dual dynamic programming (SDDP). 

Under the present directive of the European Parliament concerning common rules for the internal market in electricity, distribution companies are not allowed to own DG but entitled to include it as a planning option to differ investment in traditional grid reinforcements. An evaluation of the regulatory context will lead this work to consider DCCs as a planning alternative available in the toolbox. The impact of this type of contract on the remuneration of the DG owner will be assessed in order to provide insight on its willingness to participate. The DCCs might aid the DSO to defer grid i ii investments during planning stages and to control the network flows during operation. 

Given that storage solutions help to match in time production from intermittent sources with load consumption, they will play a major role in dealing with uncertainties. A generic storage model (GSM) based on a future cost piecewise approximation will be developed. This model inspired by hydro-reservoirs will help assessing the impact of storage in planning decisions. This model will be tested by implementing it in short-term hydro scheduling and unit commitment studies. 

To trace a path towards the future of this research work, a discussion on the planning problem formulation, under consideration of the lead time, the expansion options, the smart strategies, and the regulatory framework will be presented. Special focus will be given to multistage stochastic programming methods and in particular to the SDDP approach.

Ort, förlag, år, upplaga, sidor
Luleå University of Technology, 2017
Serie
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Nationell ämneskategori
Annan elektroteknik och elektronik
Forskningsämne
Elkraftteknik
Identifikatorer
urn:nbn:se:ltu:diva-60778 (URN)978-91-7583-775-8 (ISBN)978-91-7583-776-5 (ISBN)
Presentation
2017-02-10, Hörsal A, Campus Skellefteå, Skellefteå, 10:00
Handledare
Tillgänglig från: 2016-12-05 Skapad: 2016-11-29 Senast uppdaterad: 2017-11-24Bibliografiskt granskad

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Alvarez, ManuelBollen, MathRönnberg, SarahZhong, Jin

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