Evolucijski algoritam za dinamičko planiranje razdjelnih mreža

doctoral thesis

• Title (english): The evolutionary algorithm for the dynamic planning of distribution networks
• Author: Minea Skok
• Mentor: Slavko Krajcar (mentor)
• Committee member: Davor Škrlec (član povjerenstva)
• Committee member: Slavko Krajcar (član povjerenstva)
• Committee member: Ranko Goić (član povjerenstva)
• Committee member: Vjekoslav Filipović (član povjerenstva)
• Committee member: Ante Ćurković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Energy and Power Systems); Zagreb
• Defense date and country: 2005-02-24, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Power Engineering
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

Dugoročno planiranje razdjelnih mreža pripada grupi kombinatoričkih problema kojima su svojstveni veliki broj realnih i cjelobrojnih nepoznanica, višestruki i međusobno oprečni kriteriji u funkciji cilja, veliki broj linearnih i nelinearnih ograničenja, veliki broj logičkih pravila, neodređenost ulaznih podataka i vremenska dimenzija. Stoga je primjena konvencionalnog, intuitivnog i iskustvenog, pristupa planiranju gotovo nemoguća. Primjena tradicionalnih matematičkih optimizacijskih metoda uvjetovana je raznim aproksimacijama, ne samo zbog nelinearnosti funkcije cilja i ograničenja, već i zbog poteškoća pri matematičkom formuliranju pojedinih ograničenja i pravila postojeće prakse. U doktorskoj disertaciji prikazuje se nova metoda temeljena na evolucijskim algoritmima s ciljem dinamičkog planiranja razdjelnih mreža više prostorno zatvorenih struktura za neizvjesnu budućnost. Temeljem rezultata planiranja donose se robusne odluke o optimalnim veličinama i lokacijama novih transformatorskih stanica VN/SN, veličini novih transformatora u postojećim transformatorskim stanicama VN/SN, te trasama novih vodova. Osim optimalnih odluka, zadatak planiranja su i optimalan redosljed odnosno period realizacije tih odluka. Korišteni operatori evolucijskog algoritma omogućavaju strukturiranje kompletnog područja razrade u zadanu strukturu s minimalnim investicijskim, pogonskim i troškovima uslijed neisporučene električne energije jedinstvenim optimizacijskim postupkom. U model problema uključena je postojeća mreža, neizvjesnost ulaznih podataka i parametara, distribuirana proizvodnja, proračun padova napona u normalnim i izvanrednim pogonskim prilikama, proračun gubitaka snage i energije, provjera termičkih granica vodova i transformatora te pokazatelja neraspoloživosti opskrbe u razdjelnoj mreži. Postupak se temelji na nizu varijantnih rješenja predloženih od strane računala te naknadno vrednovanih od strane planera, a može se primijeniti za srednjoročna i dugoročna planiranja razdjelnih mreža.

Abstract (english)

Long term planning of distribution networks falls into the group of combinatorial problems characterised by a large number of real and integer variables, multiple and mutually opposite criteria in goal function, large number of linear and non-linear restrictions, large number of the logic rules, uncertainty of input data and temporal dimension. Therefore the application of the conventional, intuitive and experience-based approaches to the planning is almost impossible. The application of traditional mathematical optimisation methods is conditioned by various approximations, not only due to nonlinearity of the goal function and restrictions, but also due to difficulties in mathematical formulation of restrictions and the rules of the existing practice. This doctoral dissertation proposes a new method based on the evolutionary algorithms aimed at dynamic planning of distribution networks of a number of spatially closed structures for an uncertain future. Based on the results of the planning, robust decisions are being made regarding the optimum capacities and locations of the new HV/MV substations, the sizes of the new transformers within the existing HV/MV substations and the routes of new conduits. Besides best actions to be realized, the optimal sequeance of the events and the best timing for realization of each action is provided. The used evolutionary algorithm operators enable the planning of the whole supply area into the given structure with minimum investment, maintenance costs, costs of power and energy losses and the costs of energy not supplied by a unique optimisation procedure. The model of the problem includes the existing network, uncertainty of input data and parameters, distributed generation, permissible voltage drop in regular and outage conditions, calculation of power and energy losses, verification of cable and transformer thermal limits and supply reliability indices. The procedure is based on a number of computer provided variant solutions, additionally evaluated by the planner, which are applicable to mid-term and long-term planning of distribution networks.

• Keywords: Elektroenergetski sustav; razdjelne mreže; planiranje; prstenasta razdjelna mreža; povezna razdjelna mreža; evolucijski algoritam; dinamički model; neizvjesnost; robusnost; neizraziti skupovi
• Keywords (english): Power system; primary distribution network; planning; open loop network; link network; evolutionary algorithm; dynamic model; uncertainty; robustness; fuzzy sets
• Language: croatian
• URN:NBN: urn:nbn:hr:168:121260
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-06-27 13:35:38