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Public Procurement of homogeneous goods: Czech Republic case study
Soudek, Jan ; Skuhrovec, Jiří (advisor) ; Hrubý, Zdeněk (referee)
The goal of this thesis is to show that institutional and procedural characteristics are affecting the final price of the public procurement. In order to be able to compare the tenders among each other, only public procurement of homogeneous goods is analyzed. The presented model attempts to explain a variation in final price per one unit as a function of estimated unit price, market price and characteristic of procurement procedure - type of procedure, number of bidders and use of electronic auction. In case of electricity and gas public procurement final price elasticity with respect to the estimated price tents to be higher than such elasticity with respect to the market price. This result suggests high rigidity in public procurement procedures. We show that such ineffectiveness is reduced by using open procedure, electronic auction or attracting more bidders.
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Public Procurement of homogeneous goods: Czech Republic case study
Soudek, Jan ; Skuhrovec, Jiří (advisor) ; Hrubý, Zdeněk (referee)
The goal of this thesis is to show that institutional and procedural characteristics are affecting the final price of the public procurement. In order to be able to compare the tenders among each other, only public procurement of homogeneous goods is analyzed. The presented model attempts to explain a variation in final price per one unit as a function of estimated unit price, market price and characteristic of procurement procedure - type of procedure, number of bidders and use of electronic auction. In case of electricity and gas public procurement final price elasticity with respect to the estimated price tents to be higher than such elasticity with respect to the market price. This result suggests high rigidity in public procurement procedures. We show that such ineffectiveness is reduced by using open procedure, electronic auction or attracting more bidders.
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The construction of the risk surcharges for the imbalances trading on OTE market
Maštalíř, Jakub ; Brada, Jaroslav (advisor) ; Blaheta, Petr (referee)
This master thesis approaches the energy markets from the point of view of an electricity trader acting on the retail markets, in particular an electricity supplier to the end customers. The first part introduces the reader into the basic practices applied in the management process of the portfolio of end customers, which includes metering and evaluation of the real take-off, planning and prediction and, of course, final evaluation of the imbalances. Second part explains the principles of balance management in case of the entire ČEPS electrical grid, mechanics of the imbalances settlement and describes its actual setting with focus on the way it motivates the market participants for minimization of their own imbalances and therefore improvement of the overall electrical grid balance. The final part describes the basic construction of the risk surcharges, which the supplier adds to the commodity price to cover the costs caused by the existence of his end customers' imbalances. Furthermore, it is shown how the dependence on the system imbalance influences the size of the risk surcharge and the basic model is extended to include even this factor. Because the supplier does not set the surcharge at the level of individual end customer but for the entire portfolio, the functioning and power of the portfolio effect, which brings an extra savings in the imbalances settlement costs, is also explored in the final part. The possibility of dependence presence in the imbalances of individual end customers is also accounted for. For the first time in the Czech academic literature the economic problems that are faced by the electricity supplier to the end customers are examined and the analysis and solution of one important problem is provided in the full picture. However, the most important contribution of this master thesis lays in the opening of this topic to further examination on the academic ground.
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Aplikace optimalizačních metod na problémy výroby elektřiny
Šumbera, Jiří ; Dlouhý, Martin (advisor) ; Pelikán, Jan (referee) ; Hančlová, Jana (referee)
This thesis deals with application of optimisation methods based on linear and mixed-integer linear programming to various problems in the power sector related to electricity production. The thesis goal is to test the applicability of such methods to formulating and solving various instances from the class of real-world electricity production problems, and to find the advantages and disadvantages associated with using these methods. Introductory chapters describe the main characteristics of power markets, including the historical and regulatory context. Fundamental properties of power markets on both demand and supply side are also described, both from a real-world and a modelling point of view. Benefits of optimisation and modelling are discussed, in particular the solution feasibility and optimality as well as insights gained from sensitivity analysis which is often difficult to replicate with the original system. In the core of the thesis, optimisation techniques are applied to three case studies, each of which deals with a specific problem arising during electricity production. In the first problem, the profit of gas-fired power plant in Slovakia from selling power on the day-ahead market is maximised. The model is set up using both technical and commercial constraints. The second problem deals with the problem of representing a two-dimensional production function which primarily arises for a hydro generator with large variations in the level of its reservoir. Several representations of the original function using piecewise linear subsets are presented, compared, and characterised by their computational intensity both theoretically and practically. In the third problem, the prices on the German day-ahead market in 2011 are modelled. Contrary to the previous two models, the model does not capture an optimisation problem faced by a single producer, but incorporates a large subset of the whole market instead. Consequently the model is formed out of generic constraints relevant to all power plants whose parameters are estimated. By combining information about the aggregate availability of power plants with the estimated efficiencies a full supply curve for each day is created. Different scenarios are analysed to test the impact of uncertain inputs such as unknown or estimated constraints. The choice of the investigated problems stems from the attempt to cover electricity production problems from the point of view of multiple criteria. The three investigated electricity production problems span a broad range from the decisions of a single power plant to the modelling a power market as a whole. Formulations of the production function with different level of detail are presented ranging from a simple linear relationship to several bivariate function formulations. While each problem answers a specific question, they all illustrate the ease with which various electricity production problems can solved using optimisation methods based on linear and mixed-integer linear programming. This is mainly due to the ability of these methods to approximate even non-linear functions and constraints over non-convex domains and find global solutions in reasonable time. Moreover, models formulated with these methods allow sensitivity and scenario analyses to be carried out easily as is illustrated in each of the case studies.
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