Multi-Objective Optimal Configuration of Distributed Generation Considering Uncertainties

doi:10.3969/j.issn.1000－7229.2016.10.018

Abstract

Abstract: According to the influence caused by the uncertainty factors of grid-connected distribution energy resource (DER), this paper firstly establishes a probabilistic model for each uncertainty factors to coordinate the benefits in the investors of distributed generation (DG), grid company and social public; and establishes the multi-objective mathematical optimization model from three aspects of DG investment benefit index, transmission loss index and environmental index. Aiming at uncertain factors, this paper calculates the probabilistic flow based on the opportunity constrained programming to test the constraints condition of opportunity. Then, this paper proposes a multi-objective particle swarm optimization algorithm based on Monte Carlo simulation method (MPSO-MCS) to optimize the DC configuration. Finally, the example simulation results of an IEEE 33 node system show that the proposed model with considering the uncertainty factors of DG can optimize the configuration of DG more close to reality. According to the results after planning, the analysis results of system losses and voltage fluctuations under probabilistic method verify the effectiveness and rationality of the proposed model and method.

Key words: distributed generation (DG), uncertainty, probabilistic flow, chance constrained programming, multi-objective paricle swarm opimization algorithm (MPSO)

CLC Number:

TM 715

NIE Hongzhan, SHI Hao, YANG Jincheng, XIAN Yingnan.

Multi-Objective Optimal Configuration of Distributed Generation Considering Uncertainties

[J]. Electric Power Construction, 2016, 37(10): 130-.

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