• 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 ›› 2021, Vol. 42 ›› Issue (5): 38-47.doi: 10.12204/j.issn.1000-7229.2021.05.005

• Key Technologies and Applications of Integrated Energy Systems for Promoting the Consumption of Renewable Energy ·Hosted by Dean PAN Ersheng and Associate Professor ZHANG Shenxi· • Previous Articles     Next Articles

Calculation Method for Maximum Allowable Access Capacity of Distributed PV in Active Distribution Network Considering Active Management and Demand-Side Management

CAI Xiuwen1, CHEN Maoxin1, CHEN Gang1, FANG Yichen2, ZHANG Shenxi2, CHENG Haozhong2   

  1. 1. Quanzhou Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Quanzhou 362000, Fujian Province, China
    2. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Department of Electrical Engineering, Shanghai Jiao Tong University), Shanghai 200240, China
  • Received:2020-10-20 Online:2021-05-01 Published:2021-05-06
  • Contact: ZHANG Shenxi
  • Supported by:
    Science and Technology Research Foundation of State Grid Fujian Electric Power CO., LTD.(5213302000GD);National Natural Science Foundation of China(51907123)

Abstract:

This paper proposes a method to calculate the maximum allowable access capacity of distributed photovoltaic (PV) generation in an active distribution network (ADN), in order to facilitate the usage of the distributed PV on the premise of system security and stability. The objective is to maximize the allowable access capacity of distributed PV. Several electrical constraints, including power flow equations, bus voltage limits, branch current limits, etc., are taken into account. Furthermore, active management (AM) and demand-side management (DSM) techniques including on-load voltage regulation, reactive power compensation, control of the battery energy storage system, network reconfiguration and load curtailment are applied to increase the access capacity under the worse uncertainty condition. A two-stage robust optimization model is established. The model can be decomposed into a master problem and a subproblem in the form of mixed integer second order cones, and solved by column-and-constraint generation algorithm. A case study is implemented on the modified IEEE 33-node system to verify the validation of the proposed model and algorithm. The maximum allowable access capacity of distributed PV can be obtained. The enhancement of the result is achieved through AM and DSM techniques.

Key words: active management, demand-side management, distributed photovoltaic generation, maximum allowable access capacity, robust optimization

CLC Number: