Improving Renewable Energy Integration Through Aggregator Strategies
Gain insights into how aggregators enhance multi-actor power systems with high renewable energy penetration by addressing uncertainties. Explore stochastic/robust optimization and multi-level optimization in a representative network model context to optimize distribution networks and facilitate renewable energy source integration considering various loads.
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Presentation Transcript
Implementing flexibility through demand response aggregation zge Okur PhD candidate, TU Delft o.okur@tudelft.nl dr ir Zofia Lukszo Prof dr ir Paulien Herder Supervisory Team, TU Delft Project E : Modelling Lab for smart grids, smart policies and smart entrepreneurship 22 May 2017 1
Research Purpose To gain a better understanding of the role of aggregators to improve the overall performance of the multi-actor power system with high penetration of renewable energy sources taking into consideration uncertainties. 2
Approach How can aggregators improve the multi-actor power systems with high penetration of RES taking into account uncertainties in the system? Dealing with uncertainties: Stochastic/robust optimization Multi-actor context: Multi-level optimization The impact of aggregators on the distribution network: Representative Network Model 3
Expected Outcome With different kinds of loads like EVs, residential loads In multi-actor context Scheduling strategies for aggregators To facilitate RES integration Taking into account uncertainties in the system 4
