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1887

access icon free Integrated energy scheduling under uncertainty in a micro energy grid

© The Institution of Engineering and Technology
Received 17/10/2017, Accepted 20/03/2018, Revised 20/01/2018, Published 28/03/2018

It is expected that different energy infrastructures and resources to be operated and planned simultaneously in the future smart energy systems. Recently, the concept of energy hub and its corresponding management systems has been proposed in multi-carrier energy systems. The presented study develops a two-stage stochastic mixed-integer linear programming model for a day-ahead energy scheduling of a multi-carrier energy system, considering the time-varying energy price signals and volatility feature of renewable energy resources. In the framework of the proposed method, the objective is set to minimise the energy hub's total cost, while finding the optimal values for decision variables. A set of valid scenarios is considered for the uncertainties of loads and solar energy resources. Finally, the proposed stochastic day-ahead optimisation is tested in a case study situation. In the process of minimising the operational cost, an energy hub operator is able to fix some decisions such as energy exchange with the main grid and unit commitment, before the actual realisation of the uncertain parameters is observed. The unit commitment results also are compared with those produced by a deterministic model for the case in which the electricity flow is bidirectional.

Inspec keywords: integer programming; stochastic programming; distributed power generation; power generation dispatch; linear programming; power generation scheduling

Other keywords: volatility feature; two-stage stochastic mixed-integer linear programming model; bidirectional electricity flow; decision variables; multicarrier energy systems; management systems; unit commitment; day-ahead energy scheduling; energy hub total cost minimization; integrated energy scheduling; energy infrastructures; microenergy grid; deterministic model; time-varying energy price signals; uncertain parameter realisation; stochastic day-ahead optimisation; renewable energy resources; energy hub operator; load uncertainties; smart energy systems; solar energy resources; operational cost minimization

Subjects: Optimisation techniques; Power system management, operation and economics; Distributed power generation

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