Title
Multistage Active Distribution Network Planning With Restricted Operation Scenario Selection
Abstract
With the development of active distribution networks (ADNs), more uncertainties need to be considered in distribution network planning (DNP), which increases the difficulties in scenario selection. Given this background, a multi-stage bi-level DNP model is proposed considering coordinated operation of distributed generation (DG), energy storage system (ESS) and controllable load (CL). In this model, a novel selection strategy for restricted operation scenarios based on the shadow price is proposed to reduce the complexity of scenario selection and ease the computational burden substantially in virtue of the decoupling of ADN operation and planning. A set consisting of restricted operation scenarios is simulated as an information feedback from operators to planners. The active distribution network planning (ADNP) model is aimed to minimize the total cost of feeder investments, ESS investments, and the additional operation costs caused by severely constrained network resources. The decision variables include the location and type selections of feeders, and the siting, power and capacity of ESSs at each stage of a given planning horizon. An extended IEEE 33-node distribution system and an actual 62-node distribution system in Zhejiang, China are serviced to verify the proposed model. The results show that the proposed ADNP model can effectively select out the restricted operation scenarios and achieve an optimal ADNP scheme by balancing non-network solutions and network solutions.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2936936
IEEE ACCESS
Keywords
DocType
Volume
Active distribution network planning, multistage planning, restricted operation scenarios, shadow price, bi-level programming
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Lei Zhao1725.24
Yixin Huang200.34
Qiongdan Dai300.34
Li Yang410.70
Fei Chen500.34
Lei Wang602.03
Ke Sun700.34
Jingjing Huang800.34
Zhenzhi Lin902.37