Distributed Generation and Network Upgrades Placements for Distribution System Expansion Planning

Abstract:

In contrast with the traditional distribution expansion planning approach, significant giants can be realized in terms of outage loss, supply quality, and load carrying capacity from the distribution expansion with a suitable size and siting of distributed generation (DG). However, in order to achieve these planning goals, it often requires network upgrades to accommodate the anticipated power flows in the distribution system with DG. To improve utilization and expansion of distribution system, this paper proposes a methodology to derive the optimal strategy of generation expansion and network upgrades including line capacity upgrade, line switches, and network reconfiguration for multiobjective distribution expansion planning by minimizing network investment cost, feeder losses, customer interruption cost, and voltage drop. A multiobjective genetic algorithm (MOGA) is employed to quantify the effects of DG and network upgrades placements on distribution network under load increases and during distribution outages. To demonstrate the effectiveness of the proposed methodology, an IEEE feeder test system is selected for computer simulation to explore the benefits of DG placement for distribution system utilization and expansion.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 1740-1744
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.1740
• Online since: January 2012
• Authors: Chun Lien Su
• Keywords: Distributed Energy Resources (DER), Multiobjective Genetic Algorithm, System Planning

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