2016
DOI: 10.1007/s11042-016-3686-6
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Research on congestion elimination method of circuit overload and transmission congestion in the internet of things

Abstract: Power system is facing new challenges and opportunities in the environment of the internet of things. Under the circumstance of Internet of things, the transmission congestion management of interruptible load is the important measure to improve system reliability and operating economy. Considering the condition of target selected under different circumstances, this paper proposes a new multi-objective model of transmission congestion management with interruptible load based on brand circuit overload match with… Show more

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Cited by 58 publications
(19 citation statements)
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“…The size of IPV reflects the compatibility of polymer molecules and pore throat size. The rock permeability is certain, if molecular size selection is too large, the liquidity clew is poor, easily trapped in a narrow channel at the residence, around injection wells polymer mechanical trapping volume increases, the loss in the early polymer injection process,fhe injection efficiency and the effectiveness of the polymer in the oil reservoir are influenced [3],Instead, if the molecular size is too small, the polymer viscosity is low, and the solution is easy to follow the large pore flow in the high permeable layer. Fig.1 Relationship between molecular hydraulic diameter and IPV of different permeability reservoirs Using the figure 1, we could select the molecular hydraulic diameter of different permeability reservoir and different pore volume,then the molecular hydrodynamic diameter was added to the molecular weight in Figure 2.For example,oilfield A, Swi=26.05%, so IPV=26.05%, permeability=0.2um2, In Figure 1, the molecular hydrodynamic diameter of the block is 1.0um, The molecular hydrodynamic diameter 1.0um was added to figure 2 and the molecular weight was 1200 x 104.…”
Section: Methods Of How To Optimize Polymer Molecular Weightmentioning
confidence: 99%
“…The size of IPV reflects the compatibility of polymer molecules and pore throat size. The rock permeability is certain, if molecular size selection is too large, the liquidity clew is poor, easily trapped in a narrow channel at the residence, around injection wells polymer mechanical trapping volume increases, the loss in the early polymer injection process,fhe injection efficiency and the effectiveness of the polymer in the oil reservoir are influenced [3],Instead, if the molecular size is too small, the polymer viscosity is low, and the solution is easy to follow the large pore flow in the high permeable layer. Fig.1 Relationship between molecular hydraulic diameter and IPV of different permeability reservoirs Using the figure 1, we could select the molecular hydraulic diameter of different permeability reservoir and different pore volume,then the molecular hydrodynamic diameter was added to the molecular weight in Figure 2.For example,oilfield A, Swi=26.05%, so IPV=26.05%, permeability=0.2um2, In Figure 1, the molecular hydrodynamic diameter of the block is 1.0um, The molecular hydrodynamic diameter 1.0um was added to figure 2 and the molecular weight was 1200 x 104.…”
Section: Methods Of How To Optimize Polymer Molecular Weightmentioning
confidence: 99%
“…The recovery of the thin and poor reservoir in the water recovery stage can improve the recovery rate by 0.56%, and the recovery rate is higher than that of the main reservoir by fracturing (Table 1). According to the change of water content in the different stages of polymer flooding in the two types of reservoirs, the measures of fracturing in water cut and low water content are more effective than the earlier period and the water recovery period, and the water cut decreases greatly The results also show that the effect of polymer flooding oil well is closely related to the water cut stage after polymer flooding [3][4][5]. In the water drop and the lower stage fracturing effect; while in the water recovery rate decreases, especially in the mid and late period should not take this period of oil well fracturing, fracturing the amount of recovery, will lead to the rise of water cut.…”
mentioning
confidence: 85%
“…In reservoir evaluation, in order to evaluate the quality of the reserves, effective thickness, porosity, permeability, oil reserves abundance, strength, fluidity, drilling of main sand body number and production intensity are usually considered as evaluation parameters to classify and evaluate reservoir [1][2][3] .…”
Section: Reserves Classification Evaluation Parameters Optimizationmentioning
confidence: 99%