Real Time Constrained Optimal Control for a BG incorporating Flexible Consumption |
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Student(en): Gregory Ledva |
Betreuer: Vujanic Robin, Mariéthoz Sébastien |
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Beschreibung: Up to recent years, electricity consumers were passive actors in the network who were allowed to consume any desired amount of power at any desired time. However, recent developments, including the increase in renewable sources as well as the liberalization of the electricity sector, are encouraging a more intelligent use of energy from the consumers side. In this context, the idea of controlling the consumption either via coercive signals (direct control) or via economic incentives (price based control) has emerged, and in many places has become everyday's practice. Yet, control practices in this areas are far from consolidated. In this work we investigate the economic potential of exploiting the consumers' flexibility for the purpose of self-balancing within a balance group (BG). Market mechanisms encourage balance groups not to sway from scheduled positions, which becomes a challenging objective from the BG perspective as the amount of uncertainties (intermittent generation, loads discrepancies with respect to the forecasts, ...) increases. In order to prevent economic penalties, the BG will typically have to counteract these imbalances using "aggressive" generators, which are however more expensive and more polluting than baseload generators. Thus the idea advanced in this work is to use flexible loads instead of these generators, and gauge the corresponding pro fits the BG attains from doing this. The work will start from an estimation of the constraints within which loads can be controlled, and end up in the formulation of a nite horizon constrained optimal control problem, whose solution determines the optimal generators' and flexible loads power injection setpoints. Real data from a Dutch BG will be used. This work is carried out within the framework of the European Project E-Price: http://www.e-price-project.eu/ Weitere Informationen |
Professor: Manfred Morari |
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Projektcharakteristik: Typ: Art der Arbeit: Voraussetzungen: | |
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Anzahl StudentInnen: Status: taken | |
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Projektstart: Semester: | |
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