Expansion planning model of multi-energy system with the integration of active distribution network

Jueying Wang, Zhijian Hu and Shiwei Xie

Applied Energy, 2019, vol. 253, issue C, -

Abstract: As an effective pattern to promote efficient use of energy, multi-energy system has become the main focus of development. On the other hand, active distribution network is now also the promoting concept for developing power distribution system, since the active network management technologies can make the network more flexible and controllable. To facilitate and utilize the advantages of both systems, this paper proposes an expansion planning model for multi-energy system integrating active distribution network, natural gas network and energy hub; and the positive impact of active network managements on expanding multi-energy system is originally investigated. With the aim of minimizing the total cost over the planning horizon, this model centers on the optimal determination of the type, location and size of all the infrastructures, where the active network managements are modeled and incorporated. In addition, in order to improve the robustness of the planning results, a probabilistic scenario generation approach is proposed to test the model. In order to solve the proposed mixed-integer nonlinear model, the second order cone programming as well as a modified piecewise linearization approach is applied to convert the original model to a mixed integer second order cone programming model. A multi-energy system (including a modified IEEE 33-node distribution system, a new 23-node gas system and 8 energy hubs) are employed to verify the effectiveness of the prosed model and methods. The simulation results exhibit the superiority of the joint expansion planning model for multi-energy system and the beneficial impact of considering active network management.

Keywords: Multi-energy system expansion planning; Active distribution network; Active network management; Probabilistic scenario generation; Second-order cone programming (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (24)

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DOI: 10.1016/j.apenergy.2019.113517

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