Uncertainty based distributed generation expansion planning in electricity markets |
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Authors: | Ali Zangeneh Shahram Jadid Ashkan Rahimi-Kian |
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Affiliation: | 1. Center of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran 2. CIPCE, School of ECE, College of Engineering, University of Tehran, Tehran, Iran
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Abstract: | Decision making under uncertainty is a difficult task in most areas. The distributed generation expansion planning is certainly
one of the problems where it is difficult to find an optimal solution for, due to the existence of various uncertain parameters
that affect the optimal solution. This paper presents a distributed generation planning strategy based on the multi-objective
decision making (MODM) approach under uncertainties. The proposed strategy achieves a Pareto set of locations, sizes, and
typical types, for new DG installations in a case-study power network (as the result of a multi-objective optimization). The
technical constraints of DG units are also considered in the MODM process. The effects of the uncertain parameters on choosing
the best plan(s) are considered using robustness, flexibility, and risk exposure attributes. This aim is performed based on
a composite index which is weighted sum of the three mentioned attributes. This paper considers four categories of uncertain
parameters including the peak loading factor, electricity market price, and investment and operating costs for the DG long-term
planning. |
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