• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (12): 104-.doi: 10.3969/j.issn.1000-7229.2016.12.014

Previous Articles     Next Articles

 Local Accommodation Model of Distributed Wind/Photovoltaic Power Based on TOU Power Price Mechanism

 LI Peng, HUA Haorui, XU Shaojun, CHANG Qiankun   

  1.  1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power 
    University), Baoding 071003, Hebei Province, China; 2.State Grid Beijing Electric Power Company, Beijing 100031, China
  • Online:2016-12-01
  • Supported by:
     李鹏(1965),男,博士,教授,IEEE高级会员,主要研究方向为新能源并网发电微网技术、电能质量分析与控制、电力电子技术在智能电网中的应用等;
     

Abstract:   This paper proposes a local accommodation model of distributed wind/photovoltaic power accessed to active distribution network based on time-of-use (TOU) power price mechanism, which is able to increase the accommodation rate of distributed wind/photovoltaic power by giving active distribution network the right to set the TOU power price. Firstly, this paper analyzes the price-based demand response of load under TOU power price mechanism based on load classification. Then, this paper constructs a local accommodation model of distributed wind/photovoltaic power accessed to active distribution network based on TOU  power price mechanism, whose objective function is the maximum wind/photovoltaic power accommodation rate while considering several necessary constraints. And this paper adopts simulated annealing algorithm to solve the proposed model. Lastly, the example results show that the proposed method can increase the accommodation rate of wind/photovoltaic power accessed to active distribution network effectively.

Key words:   active distribution network(ADN), distributed wind/photovoltaic, wind/photovoltaic accommodation, demand response, simulated annealing algorithm

CLC Number: