Aiming at the problemof optimal allocation of renewable resources in 2025 and 2050,we draw lessons from differentresources in 4 states. we build a resource allocation multi-objective optimization model that aims at mi...
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Aiming at the problemof optimal allocation of renewable resources in 2025 and 2050,we draw lessons from differentresources in 4 states. we build a resource allocation multi-objective optimization model that aims at minimizing the cost of renewable energy and maximizing the utilization of renewable resources with nsga-2 algorithm.
Large-scale electric vehicles(EVs) connected to the micro grid would cause many problems. In this paper, with the consideration of vehicle to grid(V2 G), two charging and discharging load modes of EVs were constructed...
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Large-scale electric vehicles(EVs) connected to the micro grid would cause many problems. In this paper, with the consideration of vehicle to grid(V2 G), two charging and discharging load modes of EVs were constructed. One was the disorderly charging and discharging mode based on travel habits, and the other was the orderly charging and discharging mode based on time-of-use(TOU) price;Monte Carlo method was used to verify the case. The scheme of the capacity optimization of photovoltaic charging station under two different charging and discharging modes with V2 G was proposed. The mathematical models of the objective function with the maximization of energy efficiency, the minimization of the investment and the operation cost of the charging system were established. The range of decision variables, constraints of the requirements of the power balance and the strategy of energy exchange were given. nsga-Ⅱ and nsga-SA algorithm were used to verify the cases, respectively. In both algorithms, by comparing with the simulation results of the two different modes, it shows that the orderly charging and discharging mode with V2 G is obviously better than the disorderly charging and discharging mode in the aspects of alleviating the pressure of power grid, reducing system investment and improving energy efficiency.
With the increasing proportion of electric vehicles(EVs) in private cars,the EVs' public charging scheduling problem has been paid more attention due to the limited number of charging stations at home and long-dis...
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With the increasing proportion of electric vehicles(EVs) in private cars,the EVs' public charging scheduling problem has been paid more attention due to the limited number of charging stations at home and long-distance commuting *** paper proposes an EV charging scheduling system(EVCSS) based on the nsga-ⅱ algorithm to schedule multiple vehicles in urban daily *** benefits of all EVs and users' preferences are considered in optimizing charging stations' selection and route *** simulation results validate the effectiveness of the nsga-ⅱ algorithm in solving the charging scheduling problem of EVs,and the superiority of EVCSS compared with the nearest neighbor charging routing algorithm(NNCR) in saving time,reducing charging cost and improving users' satisfaction level.
We propose a multi-objective optimization algorithm for cloud task scheduling based on the Analytic network process(ANP) model to solve the problems in cloud task scheduling,such as the deficiencies of mathematical de...
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We propose a multi-objective optimization algorithm for cloud task scheduling based on the Analytic network process(ANP) model to solve the problems in cloud task scheduling,such as the deficiencies of mathematical description,limited optimization abilities of the traditional multi-objective optimization algorithm and the selection of the Pareto optimal ***,we present the mathematical description of cloud task scheduling using matrix ***,the improved Nondominated sorting genetic algorithm II(nsga-II) multiobjective evolutionary algorithm whose optimization ability is improved by Gene expression programming(GEP)algorithm has been introduced into the cloud task scheduling field to search the Pareto set among ***,ANP model has been combined with the improved nsga-II to solve the selection problems of Pareto *** with the multi-objective optimization algorithm based on the weighted polynomial,the proposed algorithm can optimize multiple goals at the same time,and can avoid the additional iterations due to the change of users preferences *** simulation results indicate that the proposed algorithm is effective.
This paper converts the container arriving at the port into a truck flow using the theory and method of fluid mechanics, and then to analyze the truck flow's running state on the road. Taking the capacity of the p...
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This paper converts the container arriving at the port into a truck flow using the theory and method of fluid mechanics, and then to analyze the truck flow's running state on the road. Taking the capacity of the port yard as a "valve" to regulate the flow of container trucks, the running state of the truck flow is changed by adjusting the number of containers entering and exiting the yard. On this basis, a multi-objective optimization model is constructed with the objective of the shortest distribution time and minimum storage cost for containers, so as to obtain the optimal container storage plan. Designing the improved nsga-ⅱ algorithm to solve the model. An empirical research was carried out on the Phase Ⅱ terminal of Ningbo Beilun port. And results of this paper verify the accuracy and effectiveness of the model and algorithm.
With the planning and constructing of the UHV grid of China,the receiving-end power grid will receive more and more electric power from ultra high voltage AC/DC(UHVAC/UHVDC) projects,and it is urgent to propose new pa...
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With the planning and constructing of the UHV grid of China,the receiving-end power grid will receive more and more electric power from ultra high voltage AC/DC(UHVAC/UHVDC) projects,and it is urgent to propose new partitioning method to adapt change from receiving-end power *** this paper,combination of community structure theory in complex network and fast non-dominated sorting genetic algorithm(nsga-Ⅱ) is applied to grid partitioning for the first ***,by using the grid partition method of community structure theory,dimension reduction of partition channel is ***,the multi-objective functions considering power flow transferring after AC/DC fault,voltage stability of multiinfeed HVDC system and short-circuit current level of receivingend power grid are ***,the nsga-ⅱ algorithm is used to find the Pareto optimal solutions to multi-objective optimization for partitioning *** results of planning power grid verify the validity and rationality of the proposed method.
In order to improve the robot＇ s abilities of bearing heavy burdens and transporting in complex terrains, the multi-objective optimization design for leg mechanism of the quadruped robot with hydraulic actuated is st...
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In order to improve the robot＇ s abilities of bearing heavy burdens and transporting in complex terrains, the multi-objective optimization design for leg mechanism of the quadruped robot with hydraulic actuated is studied in this paper. The kinematics and dynamics of the robot are ana- lyzed and the two-dimensional linear inverted pendulum model is adopted in planning the trajectories of joints. Then the mathematical model of valve-controlled asymmetric cylinder and control model of single leg are proposed respectively. In the end, nsga-ⅱ algorithm is used to achieve the multi^ob- jective optimization design of parameters concerning single leg mechanism and PD torque control. The results prove that the optimized leg mechanism can significantly reduce the required maximum power of hydraulic system, thus decrease its own weight and lead to the obtaining of good dynamic performance.
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