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Sustainability 2018, 10(9), 3263; https://doi.org/10.3390/su10093263

A Multistage Distribution-Generation Planning Model for Clean Power Generation under Multiple Uncertainties—A Case Study of Urumqi, China

1
Institute for Energy, Environment and Sustainability Research, UR-NCEPU, North China Electric Power University, Beijing 102206, China
2
Institute for Environment, Energy and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada
*
Author to whom correspondence should be addressed.
Received: 17 July 2018 / Revised: 5 September 2018 / Accepted: 11 September 2018 / Published: 12 September 2018
(This article belongs to the Special Issue Clean Waste to Energy)
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Abstract

In this research, a multistagedistribution-generation planning (MDGP) model is developed for clean power generation in the regional distributed generation (DG) power system under multiple uncertainties. The developed model has been applied for sustainable energy system management at Urumqi, China. Various scenarios are designed to reflect variations indemand modes of districts, seasonal limits, potentials of energy replacement, and clean power generation. The model can provide an effective linkage between economic cost and stability of DG power systems. Different power generation schemes would be obtained under different seasonal scenarios and system-failure risk levels. On the other hand, net system costs would be obtained and analyzed. The results indicate that the traditional power generation can be replaced by renewable energy power in DG power systems to satisfy the environmental requestsofthe city of Urumqi. The obtained solutions can help decision-makers get feasible decision alternatives to improve clean power planning in the Urumqi area under various uncertainties. View Full-Text
Keywords: distributed generation; power system modeling; renewable energy; optimization; uncertainty distributed generation; power system modeling; renewable energy; optimization; uncertainty
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Wang, S.; Huang, G.; Fan, Y. A Multistage Distribution-Generation Planning Model for Clean Power Generation under Multiple Uncertainties—A Case Study of Urumqi, China. Sustainability 2018, 10, 3263.

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