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

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.

[1]  Mehdi Rahmani-andebili,et al.  Simultaneous placement of DG and capacitor in distribution network , 2016 .

[2]  Mohammad Reza Mohammadi,et al.  Multi-criteria decision support system for wind farm site selection using GIS , 2016 .

[3]  Dan Wang,et al.  Distributed generation planning in active distribution network considering demand side management and network reconfiguration , 2018, Applied Energy.

[4]  Mehdi Rahmani-andebili,et al.  Optimal power factor for optimally located and sized solar parking lots applying quantum annealing , 2016 .

[5]  Eduardo Álvarez-Miranda,et al.  Two-stage robust UC including a novel scenario-based uncertainty model for wind power applications , 2015 .

[6]  A. S. Manne,et al.  On the Solution of Discrete Programming Problems , 1956 .

[7]  N. Amjady,et al.  Two-Stage Robust Generation Expansion Planning: A Mixed Integer Linear Programming Model , 2014, IEEE Transactions on Power Systems.

[8]  M.-R. Haghifam,et al.  Multiobjective electric distribution system expansion planning using hybrid energy hub concept , 2009 .

[9]  Mohammad Reza Mohammadi,et al.  Optimal management of energy hubs and smart energy hubs – A review , 2018, Renewable and Sustainable Energy Reviews.

[10]  Mehdi Rahmani-andebili Reliability and economic-driven switchable capacitor placement in distribution network , 2015 .

[11]  Ali Mohammad Ranjbar,et al.  An autonomous demand response program for electricity and natural gas networks in smart energy hubs , 2015 .

[12]  Xue Li,et al.  Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability , 2018 .

[13]  Mohammad Shahidehpour,et al.  Expansion Planning of Active Distribution Networks With Centralized and Distributed Energy Storage Systems , 2017, IEEE Transactions on Sustainable Energy.

[14]  Chongqing Kang,et al.  Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy , 2019, IEEE Transactions on Smart Grid.

[15]  Behnam Mohammadi-Ivatloo,et al.  Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response , 2017 .

[16]  Mehdi Rahmani-andebili,et al.  Stochastic, adaptive, and dynamic control of energy storage systems integrated with renewable energy sources for power loss minimization , 2017 .

[17]  Jianhua Zhang,et al.  A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment , 2016 .

[18]  Nikos D. Hatziargyriou,et al.  Multistage Coordinated Planning of Active Distribution Networks , 2018, IEEE Transactions on Power Systems.

[19]  Mehdi Rahmani-andebili,et al.  Dynamic and adaptive reconfiguration of electrical distribution system including renewables applying stochastic model predictive control , 2017 .

[20]  Haozhong Cheng,et al.  Active distribution network expansion planning integrating dispersed energy storage systems , 2016 .

[21]  Nikolaos E. Koltsaklis,et al.  Review of models for integrating renewable energy in the generation expansion planning , 2019, Applied Energy.

[22]  Chongqing Kang,et al.  Review and prospect of integrated demand response in the multi-energy system , 2017 .

[23]  Tianshu Bi,et al.  Convex optimization based adjustable robust dispatch for integrated electric-gas systems considering gas delivery priority , 2019, Applied Energy.

[24]  Javier Contreras,et al.  Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability , 2016, 2017 IEEE Power & Energy Society General Meeting.

[25]  Mehdi Rahmani-Andebili Distributed Generation Placement Planning Modeling Feeder’s Failure Rate and Customer’s Load Type , 2016, IEEE Transactions on Industrial Electronics.

[26]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

[27]  M. Parsa Moghaddam,et al.  A flexible active distribution system expansion planning model: A risk-based approach , 2018 .

[28]  Taher Niknam,et al.  Deterministic approach for active distribution networks planning with high penetration of wind and solar power , 2017 .

[29]  Yan Li,et al.  Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network , 2018, Applied Energy.

[30]  Bin Xu,et al.  A bi-level robust planning model for active distribution networks considering uncertainties of renewable energies , 2019, International Journal of Electrical Power & Energy Systems.

[31]  Mahmud Fotuhi-Firuzabad,et al.  An Adaptive Approach for PEVs Charging Management and Reconfiguration of Electrical Distribution System Penetrated by Renewables , 2018, IEEE Transactions on Industrial Informatics.

[32]  Majid Shahabi,et al.  Dynamic long-term expansion planning of generation resources and electric transmission network in multi-carrier energy systems , 2018, International Journal of Electrical Power & Energy Systems.

[33]  Hamdi Abdi,et al.  A general model for energy hub economic dispatch , 2017 .