Abstract
With the increasing penetration of renewable Distributed Generation (DG), it is important to assess the Maximum Hosting Capacity (MHC) in active distribution networks. Active Network Management (ANM) such as coordinated voltage control, reactive power compensation, DG curtailment, DG power factor control, network reconfiguration and demand response can play an important role in increasing the MHC. The MHC evaluation problem considering all the above elements of ANM can be formulated as a mixed integer nonlinear programming model. However, this original nonconvex model cannot guarantee convergence to optimality. This paper proposes the mixed integer second-order cone programming model for evaluating the MHC, by using exact linearization and second-order cone relaxation. The modified IEEE 33-bus test system is used to demonstrate the effectiveness of the proposed model and analyze the effect of each ANM element on the MHC increase. The results show that when considering all the above elements of ANM, the gain of the MHC is greater than 62%.
| Original language | English |
|---|---|
| Pages (from-to) | 96-102 |
| Number of pages | 7 |
| Journal | International Journal of Electrical and Electronic Engineering and Telecommunications |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 Jul 1 |
Keywords
- Active network management
- Distributed generation
- Maximum hosting capacity
- Mixed integer second-order cone programming
ASJC Scopus subject areas
- Instrumentation
- Computer Networks and Communications
- Electrical and Electronic Engineering
