Integrated Resource Planning for Distribution Network With Stochastic Distributed Generation

Haoyong CHEN; Zengyu WANG; Ziyue QIU

doi:10.16513/j.cnki.10-1427/tk.2018.06.008

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Distributed Energy ›› 2018, Vol. 3 ›› Issue (6) : 54-59. DOI: 10.16513/j.cnki.10-1427/tk.2018.06.008

Optimization Planning of Active Distribution Network

Integrated Resource Planning for Distribution Network With Stochastic Distributed Generation

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Abstract

With the fast development of distributed generation (DG) and demand response (DR), the issue of distribution network planning becomes increasingly important. The mathematical model of integrated resource planning for distribution network considering DG and DR is established. The stochasticity of wind power is considered, and a hybrid intelligent algorithm is used to solve the problem, aiming to obtain the distribution network planning scheme with the highest system reliability and economy. When choosing the optimal objective function, many factors are considered at the same time, including the network loss cost of power system, the investment cost and operating cost of DG, the interruptible load compensation cost considering DR, the saving of electricity purchase after introduction of DG, the environmental benefits after optimization, etc. The hybrid intelligent algorithm based on support vector machine and particle swarm optimization algorithm are adopted for the DG planning. Finally, an actual distribution network in China is taken as an example to verify the improvement effect of the proposed algorithm on system reliability and economy.

Key words

integrated resource planning / distribution network planning / distributed generation (DG) / demand response (DR) / hybrid intelligent algorithm

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Haoyong CHEN , Zengyu WANG , Ziyue QIU. Integrated Resource Planning for Distribution Network With Stochastic Distributed Generation[J]. Distributed Energy Resources. 2018, 3(6): 54-59 https://doi.org/10.16513/j.cnki.10-1427/tk.2018.06.008

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