General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest and DOAJ.
    • E-mail: jocet@ejournal.net
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Editor-in-chief
School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
JOCET 2017 Vol.5(2): 147-153 ISSN: 1793-821X
DOI: 10.18178/JOCET.2017.5.2.360

Multi-scenario Active Distribution Network Planning Considering of Demand Response and Emission Reduction

Nan Li
Abstract—Active distribution network promotes the power systems rely less on large-scale power plants and transmission networks, which brings new challenges to the distribution network planning. This paper sets up an active distribution network planning model based on integration of operation and planning, studies a new active distribution network operation mode containing demand side response, and puts forward temporary additional price incentives to promote renewable distributed generation (RDG) absorption. In view of the uncertainty of RDG, Multi-scenario probability model is used to simulate the actual output of RDG. This paper sets up an active distribution network planning model with the optimization target of minimum of construction operation cost, renewable energy output cutting quantity and carbon emission, and the constraints contain users’ satisfaction about electricity supply and reduction of loads. Simulation of IEEE33 nodes distribution system show that the model can effectively solve high permeability of DG, give full play to the advantage of the demand response for distribution network, and achieve rational economic and environmental planning solutions. The adopted algorithm can effectively deal with different objective functions with different dimension.

Index Terms—Active distribution network, renewable distributed generation, demand response, emission reduction.

Nan Li is with the State Grid Energy Research Institute, Beijing, China (e-mail: linanyz@163.com).

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Cite:Nan Li, "Multi-scenario Active Distribution Network Planning Considering of Demand Response and Emission Reduction," Journal of Clean Energy Technologies vol. 5, no. 2, pp. 147-153, 2017.

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