An Overview of Planning Technology for Active Distribution Network

Traditional power grid has become an obstacle for society to promote low-carbon economy due to fossil energy abuse. In order to deal with this crisis, a large amount of distributed energy resource is connected to the distribution network, so as to improve the single energy structure. However, the planning technology of traditional distribution network has been unable to meet the requirements of power supply security and stability after multiple distributed energy resources are connected to the distribution network. Based on the above situation, this paper summarizes the planning technology of active distribution network, describes the difficulties and problems frequently encountered in the planning technology of active distribution network. In the end, this paper presents the summary and outlook for the planning technology of active distribution network.

[1]  Yajing Gao,et al.  Evaluation on the short-term power supply capacity of an active distribution system based on multiple scenarios considering uncertainties , 2019, Smart Power Distribution Systems.

[2]  Huang Haita.  A Practicable Optimal Compensation Pricing Model for Incentive Interruptible Load Contract , 2014 .

[3]  Yang Xue-ming.  Optimal Combined Forecasting Method Used in Power Load Forecasting , 2008 .

[4]  Wang Jianmin,et al.  Dynamic Islanding Method of Active Power Distribution Network Based on Wind-Photovoltaic-Load Curve , 2016 .

[5]  Zheng Hai-feng,et al.  Siting and Sizing of Distributed Generation in Distribution Network Expansion Planning , 2006 .

[6]  Wei Zhou,et al.  OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM , 2008 .

[7]  Cheng Haozhong,et al.  Distribution Network Expansion Planning Considering Multiple Active Management Schemes , 2016 .

[8]  Shenxi Zhang Non-member,et al.  Optimal siting and sizing of intermittent distributed generators in distribution system , 2015 .

[9]  Fan Ruixiang.  Research on Maximum Capacity of Grid-Connected Distributed Generation in Distribution Network , 2012 .

[10]  Graham Ault,et al.  Fundamental research challenges for active management of distribution networks with high levels of renewable generation , 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

[11]  Yang Jun.  Determination Methodology for Energy Storage Capacity Based on Saturation Control Theory , 2011 .

[12]  V. M. Vlahović,et al.  Long-term forecasting: a critical review of direct-trend extrapolation methods , 1987 .

[13]  Yang Shengchun.  Day-ahead Generation Scheduling Model Considering Demand Side Interaction Under Smart Grid Paradigm , 2013 .

[14]  Reuel C. Pallugna,et al.  The contribution of renewable distributed generation in mitigating carbon dioxide emissions , 2011 .

[15]  Cao Jin.  SHORT-TERM LOAD FORECASTING BASED ON PARTIAL LEAST-SQUARES REGRESSION , 2003 .

[16]  Han Yingduo,et al.  Active Distribution Network Planning-Operation Co-optimization Considering the Coordination of ESS and DG , 2015 .

[17]  Mahmoud M. Othman,et al.  Optimal Planning of Distributed Generators in Distribution Networks Using Modified Firefly Method , 2015 .

[18]  Li Gengyin.  Multi-objective Optimization Algorithm for Distributed Generation Locating and Sizing , 2011 .

[19]  Li Xin,et al.  Analysis and Prospect on Technical Approaches for Low Carbon Power Grid , 2011 .

[20]  Ziyad M. Salameh,et al.  Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system , 1996 .

[21]  Wu Jun-ji,et al.  Application of gray system theory in load forecasting , 2004 .