Planning of Distributed Energy Resources for Distribution Network Considering Dispatchable Region of Microgrids

被引:0
|
作者
Chen Y. [1 ]
Yang P. [1 ,2 ]
Zeng Z. [1 ]
Peng J. [1 ]
机构
[1] School of Electric Power, South China University of Technology, Guangzhou
[2] Guangdong Key Laboratory of Clean Energy Technology, South China University of Technology, Guangzhou
关键词
Demand response; Dispatchable region of microgrid; Distributed energy resources; Site selection and capacity determination; Smart distribution network;
D O I
10.7500/AEPS20171226008
中图分类号
学科分类号
摘要
With the large-scale development of distributed energy resources (DERs) and microgrids (MGs), the output power range of MGs and the permeability of DERs are mutually restricted under the static security constraints of distribution network. However, since the existing DER planning model does not take the original output power range of MGs into account, the operation space of MGs may be limited under the obtained planning scheme, which increases the control difficulty of MGs and operation risk of distribution network. To solve this proplem, the site selection and capacity determination of DERs in the distribution network containing MGs are studied, considering the effect of dispatchable region of MGs, demand response (DR) and operation strategy of energy storage system (ESS). In order to reduce the impact of DER access to grid on MG operation, the dispatchable region of MG is introduced to quantitatively depict the output power boundary of MG, and the interval arithmetic is used to transform it into the constraints of planning model. The users' interruptible load probability matrix is proposed to characterize the uncertainty of DR. Furthermore, a DER planning model for the distribution network containing MG is established considering the interests of distribution network operator and DER investor, and an improved particle swarm algorithm is used to solve the planning model. Case results show that the obtained DER planning scheme can achieve optimal economic in ensuring that the dispatchable region of MG is not affected, proving the rationality and effectiveness of the proposed model. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码:83 / 91
页数:8
相关论文
共 23 条
  • [1] Kang C., Yao L., Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [2] Wang Y., Jiao B., Zhang F., Et al., Medium and long-term electric power development considering operating characteristics of high proportion of renewable energy, Automation of Electric Power Systems, 41, 21, pp. 9-16, (2017)
  • [3] Yao L., Zhu L., Zhou M., Et al., Prospects of coordination and optimization for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 36-43, (2017)
  • [4] Xiao J., Zhang B., Li J., Et al., Security boundary based research idea on planning of distribution networks with high renewable penetration, Automation of Electric Power Systems, 41, 9, pp. 28-35, (2017)
  • [5] Peng C., Yu R., Sun H., Multi-objective DG planning based on K-means clustering and multi-scenario timing characteristics analysis, Electric Power Automation Equipment, 35, 10, pp. 58-65, (2015)
  • [6] Li L., Tang W., Bai M., Et al., Multi-objective locating and sizing of distributed generators based on time-sequence characteristics, Automation of Electric Power Systems, 37, 3, pp. 58-63, (2013)
  • [7] Fu A., Zhang F., Zhang L., Et al., Capacity optimization strategy of energy storage system for power grid with high penetration of photovoltaic considering limited smoothing of photovoltaic ramping power, Automation of Electric Power Systems, 42, 15, pp. 53-61, (2018)
  • [8] Yang S., Guo L., Liu J., Et al., Photovoltaic access planning based on scenario compression and voltage regulation strategy, Automation of Electric Power Systems, 42, 15, pp. 31-38, (2018)
  • [9] Yan Y., Wu W., Zhang Y., Et al., Optimal allocation of intermittent distributed generation in active distribution network considering benefit of regional energy supplier, Power System Technology, 41, 3, pp. 752-759, (2017)
  • [10] Liu W., Niu S., Shi D., Et al., Optimal allocation of ADS battery energy storage considering operation strategy and investment subject benefit, Power System Technology, 39, 10, pp. 2697-2704, (2015)