Investment Model and its Multi-year Rolling Deduction Based on a Data-driven Method for Distribution Network

With the access of large-scale clean energy, in the face of a lot of reconstruction strategies, the problems of complexity and poor convergence exist in the traditional investment planning optimization model which includes optimal power flow (OPF) and network safety constraint (NSC). Thus, an optimal investment decision model of distribution network (DN) is proposed based on the correlation constraint between reconstruction strategies and reliability which is obtained by a data-driven method, as well as the iteration calculation of reliability index. Based on the correlation, the multi-year investment model is established respectively aiming at maximizing the index and minimizing the total investment cost to obtain the optimal investment plans. Finally, an example is given to verify the rapidity, feasibility and effectiveness of the investment model.

[1]  Xin Zhang,et al.  Agent-Based Coordinated Operation Strategy for Active Distribution Network With Distributed Energy Resources , 2019, IEEE Transactions on Industry Applications.

[2]  Matti Lehtonen,et al.  Clustering of Connection Points and Load Modeling in Distribution Systems , 2013, IEEE Transactions on Power Systems.

[3]  Joao P. S. Catalao,et al.  Novel Multi-Stage Stochastic DG Investment Planning with Recourse , 2017, IEEE Transactions on Sustainable Energy.

[4]  Javier Contreras,et al.  Distribution Network Expansion Planning with an Explicit Formulation for Reliability Assessment , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[5]  Antonio Padilha-Feltrin,et al.  Hierarchical Bayesian Model for Estimating Spatial-Temporal Photovoltaic Potential in Residential Areas , 2018, IEEE Transactions on Sustainable Energy.

[6]  Javier Contreras,et al.  Distribution Network Expansion Planning With an Explicit Formulation for Reliability Assessment , 2018, IEEE Transactions on Power Systems.

[7]  Hossein Nezamabadi-pour,et al.  An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems , 2013, IEEE Transactions on Smart Grid.

[8]  Kit Po Wong,et al.  Multi-objective distributed wind generation planning in an unbalanced distribution system , 2017 .

[9]  Yang Liu,et al.  Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation , 2013 .

[10]  Nima Amjady,et al.  A Robust Model for Multiyear Distribution Network Reinforcement Planning Based on Information-Gap Decision Theory , 2018, IEEE Transactions on Power Systems.

[11]  Zhou Fei Distributed Generation Planning Based on Multiobjective Static Fuzzy Model , 2013 .

[12]  Junyong Liu,et al.  Optimal Sizing of Energy Storage System in Active Distribution Networks Using Fourier–Legendre Series Based State of Energy Function , 2018, IEEE Transactions on Power Systems.

[13]  Benjamin Sovacool,et al.  Electricity market design for the prosumer era , 2016, Nature Energy.

[14]  Mostafa F. Shaaban,et al.  Accommodating High Penetrations of PEVs and Renewable DG Considering Uncertainties in Distribution Systems , 2014, IEEE Transactions on Power Systems.