Analysis and Discussion on Absorption and Distribution Index of Non-Water Renewable Energy Power Generation

LIHongzhong, FUGuo, FANMingtian, ZHANGZuping

Distributed Energy ›› 2019, Vol. 4 ›› Issue (5) : 50-57.

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Distributed Energy ›› 2019, Vol. 4 ›› Issue (5) : 50-57. DOI: 10.16513/j.2096-2185.DE.191071
Renewable Energy Absorption Technology

Analysis and Discussion on Absorption and Distribution Index of Non-Water Renewable Energy Power Generation

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Abstract

Analysis of non-water RES(renewable energy sources) absorption will contribute to achieve the index quota of high proportion of renewable energy generation in all regions of China in 2020. Firstly, considering various restrictive factors on non-water RES power generation: wind and solar resources and their spatial and temporal distributions, available land resources, regional economic development level, spatial and temporal distribution characteristics of regional load, capacity of power grid equipment and constraints on safe operation, etc. Secondly, with various restrictive factors as the boundary conditions, a bottom-up theoretical analysis is carried out on the acceptable non-water RES capacity and the non-water RES amount of electricity that can be absorbed in a specific region (voltage level below 220/110 kV). Finally, whether the top-down indicators allocated to each region by the State Energy Administration can be fully absorbed and the regions not satisfied need to be coordinated and allocated. In view of the above analysis, this paper discusses the location and capacity determination model of non-water RES, the measures to increase installed capacity, and the scheduling optimization model 24 hours before the day of power grid access to non-water RES, and discusses the solving method of this mathematical problem.

Key words

non-water RES power generation / restrictive factors / allocation of absorptive index / location and capacity / optimal dispatching

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Analysis and Discussion on Absorption and Distribution Index of Non-Water Renewable Energy Power Generation[J]. Distributed Energy Resources. 2019, 4(5): 50-57 https://doi.org/10.16513/j.2096-2185.DE.191071

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