The importance of short-term air traffic flow management can never be depreciated due to the associated demand uncertainty which is caused by the dynamicity in the air transportation systems. Ideally, the flight plans...
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ISBN:
(纸本)9781538679012;9781538679265
The importance of short-term air traffic flow management can never be depreciated due to the associated demand uncertainty which is caused by the dynamicity in the air transportation systems. Ideally, the flight plans require frequent fine-tuning depending on the dynamic network changes such as flight time deviations, weather conditions, etc.. Motivated by this, the paper incorporates the effect of departure time uncertainty and wind uncertainty in short-term flight routing and scheduling. The en route capacities are utilized while ensuring safety in terms of maintaining required in-trail-separation between aircraft, avoiding capacity violations as well as merging conflicts due to uncertainty of demand. The proposed model effectively manages the uncertainty in the network by utilizing short-term planning horizons and further, more accurate real-time wind forecast data are incorporated in optimizing the flight schedules. To generate flight schedules with a less time-complexity, we use a heuristic approach with parallel computation while decomposing the problem into maximum independent sets. The proposed model is experimentally validated for the applicability via realistic air traffic data.
One-class classification plays an important role in outlier and novelty *** one-class classification algorithms determine a decision boundary that identifies the property of the target *** this work,we propose a novel...
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One-class classification plays an important role in outlier and novelty *** one-class classification algorithms determine a decision boundary that identifies the property of the target *** this work,we propose a novel algorithm for one-class classification based on the mixed integer quadratic programming *** proposed method minimizes the radius of a spherically shaped boundary subject to the number of target data being equal to a constant value specified by *** modifying this constant value,users can exactly control the proportion of target data described by the spherically shaped ***,analogous to Support Vector Classifier,the boundary can be made flexible by using some kernel *** usefulness of the proposed method was demonstrated through experiments with simulated data.
Wind power and Electric Vehicles(EVs) hold a promising future due to their operations is less carbon intensive and have capacity to reduce reliance to fossil *** the amount of wind power and EVs increase,it is necessa...
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ISBN:
(纸本)9781479970186
Wind power and Electric Vehicles(EVs) hold a promising future due to their operations is less carbon intensive and have capacity to reduce reliance to fossil *** the amount of wind power and EVs increase,it is necessary to consider their impacts on power system operations and *** this paper,Battery Swapping Station(BSS) and fluctuating wind power are incorporated in the Unit Commitment(UC) ***,we present a mathematical definition of a battery swapping ***,the model is solved using mixed integer quadratic programming(MIQP).Adopting a 10-unit system as an example,the simulation results show that the charging and discharging of BSSs can reduce the system operating costs and make up for the fluctuation of wind power.
This paper presents a transmission expansion formulation that maximizes the profits of the generators in a decentralized market structure. Transmission expansion of congested lines increases the dispatch by the genera...
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ISBN:
(纸本)9781509019205
This paper presents a transmission expansion formulation that maximizes the profits of the generators in a decentralized market structure. Transmission expansion of congested lines increases the dispatch by the generators and hence the generator surplus. The generators profit is the difference in surplus and the transmission congestion charges. Previous work on profit maximization was a simple quadratic formulation as the transmission charges were taken as fixed investment costs. In this paper, transmission congestion charges are based on the difference in spot market locational marginal prices. To ensure that transmission merchants always profits from expansion, the transmission congestion charges are modeled as several blocks of congestion prices and transmission capacities. The profitable transmission expansion for generators is thus formulated as a mixedinteger (0-1) quadraticprogramming problem. Examples are provided to explain the method.
Wind power and Electric Vehicles(EVs) hold a promising future due to their operations is less carbon intensive and have capacity to reduce reliance to fossil fuels. This paper proposes a mathematical model that based ...
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Wind power and Electric Vehicles(EVs) hold a promising future due to their operations is less carbon intensive and have capacity to reduce reliance to fossil fuels. This paper proposes a mathematical model that based on the traditional security constrained unit commitment(SCUC) formulation to accommodate fluctuating wind output and BSSs which have storing and producing cost. Then, the model is solved using mixed integer quadratic programming(MIQP). In our method, the power system will be more reliable for the wind outputs scenarios have been taken into account. By considering the BSSs, the total cost is vastly reduced.
Due to the depletion of the fossil fuel and the caused deterioration of the environment and resources, renewable energy is becoming increasingly important to achieve the sustainable development of mankind. Wind power,...
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Due to the depletion of the fossil fuel and the caused deterioration of the environment and resources, renewable energy is becoming increasingly important to achieve the sustainable development of mankind. Wind power, as one of the vital renewable energy resources, has been explored and utilized in power systems to promote the green energy production in the past decades around the world. However, the wind power curtailment is still a serious problem in real industry which undermines its potential. To address the wind power utilization problem in transmission systems, this paper proposes an integrated optimization model to maximize the wind power utilization from the viewpoint of transactive energy control（TEC）. The problem is formulated into a mixed integer quadratic programming（MIQP） model where the transactive conditions proposed by each participant, e.g. wind power plants, conventional power plants, neighboring provinces, energy-intensive load and gird operator in the network is transformed into linear constraints. Case study based on the real wind power data is conducted in the paper and through the TEC, the wind power utilization can be maximized and the benefit of each participants in the system can be guaranteed as well.
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