Optimal Siting and Sizing of Distributed Generation Planning in a Standalone Microgrid

Abstract:

This paper introduces renewable energy to ensure offshore platforms as a stand-alone microgrid operate reliably economically in low-carbon environment, considering volatility of CO₂ emission price. A probability distribution model and economic model containing investment cost and low-carbon effect is established respectively, using latin hypercube sampling (LHS), meanwhile, the stochastic power is adopted to judge whether the built planning model can meet power flow constraint, Monte Carlo method is used to simulate characteristics of distributed generation ( DG), a probabilistic power flow is made to illustrate reliability index. The model takes the types, sites and sizes of DG as decision variables, economy and environment as the objective function, particle swarm algorithm is proposed to solve the multi-objective optimization problem .A case study based on data from offshore oilfield is presented to verify the advantages of the improved optimal sizing method.

• Periodical: Advanced Materials Research (Volumes 960-961)
• Pages: 1048-1053
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.960-961.1048
• Online since: June 2014
• Authors: Xiao Yue Cheng, Jin Ling Lu
• Keywords: Latin Hypercube Sampling, Low-Carbon Effect, Offshore Platforms, Optimal Sizing of Distributed Generation, Renewable Resource, Volatility of CO₂ Emission Price

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