Study on the Competitive Relationship Between Multi-Energy Complementary Power Generation and Comprehensive Utilization of Water Resources in Water Shortage Areas
The northwest of China is the energy base of"power transmission from west to east".It is also an area with scarce water resources and relatively fragile ecosystems,the competitive relationship around water resources is relatively prominent.In view of this relationship,a model for cascade reservoirs dispatching was established with the goal of maximizing power generation,and minimizing the deviation be-tween the discharge flow and the appropriate ecological flow,at the same time,counting the multi-energy complementary output fluctuation stabilization demand,obtained a dispatching plan with optimal comprehensive benefits such as power generation and ecology,and the com-petitive relationship between power generation and ecology under the condition of water shortage was analyzed;the indexes such as coordina-tion were introduced to quantitatively calculate the dispatching risk,and the fuzzy comprehensive evaluation method was adopted to calculate the score of the dispatching scheme,the advantages and disadvantages of the dispatching scheme were evaluated from the two dimensions of ecological water supply risk and multi-objective competition relation.The case study on the upper reaches of the Yellow River shows that the more multi-energy complementary power generation,the greater ecological deviation coefficient,especially in low-flow years,the ecological deviation coefficient changes obviously,the difference between the maximum and the minimum is 0.069.In low-flow years,there are obvious deviations in different dispatching decisions,and the difference of ecological deviation coefficient between different decisions is more than 2%,the ecological benefits can be greatly enhanced by properly reducing the power generation;the lower score of the front end of the non-in-ferior solution is 0.171,and the higher score of the inflection point is 0.193.
competitive relationmultiple goalsmulti-energy complementaryrisk quantificationUpper Yellow River
国家科技期刊平台
NSTL
万方数据
