Optimal siting and sizing of distributed renewable energy in an active distribution network

Haijun Xing; Hong Fan; Xin Sun; Shaoyun Hong; Haozhong Cheng

doi:10.17775/CSEEJPES.2016.00480

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Optimal siting and sizing of distributed renewable energy in an active distribution network

更新时间：2025-12-18

- Optimal siting and sizing of distributed renewable energy in an active distribution network
- CSEE Journal of Power and Energy Systems Vol. 4, Issue 3, Pages: 380-387(2018)
- 作者机构：
  
  1. Shanghai University of Electric Power,, CN,Shanghai
  2. Construction Branch of State Grid Jiangxi Electric power Co. Ltd.,Jiangxi,Nanchang,China
  3. Shanghai Jiao Tong University,, CN,Shanghai
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2016.00480
  CLC：
- Published：2018
- 稿件说明：
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Haijun Xing, Hong Fan, Xin Sun, et al. Optimal siting and sizing of distributed renewable energy in an active distribution network[J]. CSEE Journal of Power and Energy Systems, 2018, 4(3): 380-387.
DOI：

Haijun Xing, Hong Fan, Xin Sun, et al. Optimal siting and sizing of distributed renewable energy in an active distribution network[J]. CSEE Journal of Power and Energy Systems, 2018, 4(3): 380-387. DOI： 10.17775/CSEEJPES.2016.00480.

摘要

Abstract

The distributed generation (DG) plays an important role in the context of the environmental problems and sustainable development throughout the world. This paper proposes a DG siting and sizing model in an active distribution network (ADN). The objective is to minimize the total cost

including investment

operation and maintenance costs. The proposed model is transferred to a Mixed Integer Second-Order Cone Programming (MISOCP) model based on a distribution network forward backward-sweep power flow and constraint relaxation. The CVX platform and GUROBI solver are used for the solution. The scenario analysis is used for the uncertainties of load and DG. Different numbers of operational scenarios are considered in order to analyze the effect of a non-network solution to the final planning result and total investment. The planning results with and without consideration of active managements

and the planning results with and without taking environmental profits into consideration

are compared and analyzed. The proposed methodology is verified with a modified IEEE 33 example.

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