A Multi-Objective Model for Transmission Planning Under Uncertainties

Author

Chunyu Zhang ; Qi Wang ; Yi Ding ; Ostergaard, Jacob

Author_Institution

Center for Electr. Power & Energy, Tech. Univ. of Denmark, Copenhagen, Denmark

fYear

2014

Firstpage

42

Lastpage

47

Abstract

The significant growth of distributed energy resources (DERs) associated with smart grid technologies has prompted excessive uncertainties in the transmission system. The most representative is the novel notation of commercial aggregator who has lighted a bright way for DERs to participate power trading and regulating in transmission level. In this paper, the aggregator caused uncertainty is analyzed first considering DERs´ correlation. During the transmission planning, a scenario-based multi-objective transmission planning (MOTP) framework is proposed to simultaneously optimize two objectives, i.e. The cost of power purchase and network expansion, and the revenue of power delivery. A two-phase multi-objective PSO (MOPSO) algorithm is employed to be the solver. The feasibility of the proposed multi-objective planning approach has been verified by the 77-bus system linked with 38-bus distribution network junctions.

Keywords

distributed power generation; particle swarm optimisation; power transmission planning; smart power grids; DERs; MOPSO algorithm; MOTP framework; commercial aggregator; distributed energy resources; distribution network junctions; multiobjective model; network expansion; power purchase cost; power trading; scenario-based multiobjective transmission planning framework; smart grid technology; transmission level regulation; transmission planning system; two-phase multiobjective PSO algorithm; Load management; Planning; Stochastic processes; Uncertainty; Wind power generation; Wind speed; demand response; distributed energy resources; multi-objective transmission planning; uncertainties;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Power and Energy Conference (EPEC), 2014 IEEE

Type

conf

DOI

10.1109/EPEC.2014.8

Filename

7051673