In recent years, considerable growth was about the integration of renewable energy sources in the Radial Distribution Systems (RDS), as Photovoltaic Distributed Generators (PVDG) due to their importance in achieving p...
详细信息
In recent years, considerable growth was about the integration of renewable energy sources in the Radial Distribution Systems (RDS), as Photovoltaic Distributed Generators (PVDG) due to their importance in achieving plenty desired technical and economic benefits. Implementation of the Distribution Static Var Compensator (DSVC) in addition to the PVDG would be one of the best choices that may provide the maximum of those benefits. Hence, it is crucial to determine the optimal allocation of the devices (PVDG and DSVC) into RDS to get satisfactory results and solutions. This paper is devoted to solve the allocation problem (locate and size) of hybrid PVDG and DSVC units into the standards test systems IEEE 33-bus and 69-bus RDSs. Solving the formulated problem of the optimal integration of hybrid PVDG and DSVC units is based on minimizing the proposed multi-objective function (MOF) which is represented as the sum of the technical-economic parameters of Total Active Power Loss (TAPL), Total Reactive Power Loss (TRPL), Total Voltage Deviation (TVD), Total Operation Time (TOT) of the overcurrent relays (OCRs) installed in the RDS, the Investment Cost of PVDGs (ICPVDG) and the Investment Cost of DSVCs (ICDSVC), by applying various recent metaheuristic optimization algorithms. The simulation results reveal the superiority and the effectiveness of the Slime Mould Algorithm (SMA) in providing the minimum of MOF, including minimization of the power losses until 16.209 kW, and 12.11 kVar for the first RDS, 4.756 kW and 7.003 kVar for the second RDS, enhancing the voltage profiles and the overcurrent protection system. Moreover, the ability to reach the optimal allocation of PVDG and DSVC and maintain the voltage profiles in the allowable limit, whatever the load demand variation.
With the development of the shared economy, shared cars have sprung up like bamboo shoots after the rain, providing great convenience for people to travel. How to choose a car park to optimize the use of resources is ...
详细信息
With the development of the shared economy, shared cars have sprung up like bamboo shoots after the rain, providing great convenience for people to travel. How to choose a car park to optimize the use of resources is one of the problems that the managers of all companies pay attention to. This paper through the rolling forecast way to predict the future three years of Chongqing city share total car demand, and then estimate the Chongqing city parking lot demand;then, from the point of view of considering the location factors, to users, operators and government satisfaction as the objectivefunction, the establishment of shop location model;finally, using genetic algorithm to solve the model and in a certain the weight, select the optimal solution. The research results show that the model can provide a more scientific decision-making method for the location of car park in Chongqing.
＜正＞A new multi-level synthesis algorithm has been developed using the multi-objective and multi-level optimization method for optimum design of orthotropic bridges. In this multi-level （ML） synthesis algorithm, n...
详细信息
＜正＞A new multi-level synthesis algorithm has been developed using the multi-objective and multi-level optimization method for optimum design of orthotropic bridges. In this multi-level （ML） synthesis algorithm, not only multi-level optimization but also other techniques, such as effective reanalysis, sensitivity analysis, variable linking, artificial constraint deletion and optimum proportioning of a girder height using parabolic equation, are used to increase the efficiency of optimization. Also, the deflection of the bridge girder is minimized using multi-objective optimization. In this study, great emphasis is particularly placed on the practical applicability of the proposed new synthesis algorithm for the realistic optimum design of orthotropic bridge systems. A real three-span continuous orthotropic bridge actually designed in practice is used as a numerical example in this study, and then the efficiency of the synthesis algorithm is demonstrated by comparing it with other algorithm.
Traffic accidents usually induce non-recurrent congestions in the urban transportation network. In order to avoid the congestion deterioration, the paper presented a method to make traffic dispersion plans. T...
详细信息
Traffic accidents usually induce non-recurrent congestions in the urban transportation network. In order to avoid the congestion deterioration, the paper presented a method to make traffic dispersion plans. The method considered and harmonized multi-objective, such as the change in total travel time, restrictions of traffic volumes on the finks, and changes in traffic volumes on the links. Firstly, based on satisfactory control theory, the method introduced fuzzy goals and fuzzy constraints into a multi-objective function to obtain an optimal traffic dispersion plan. Secondly, a modified particle swarm optimization algorithm was raised to solve this complex multi-objective problem which has the characteristics of nonlinearity, multi-variable and multi-parameter. Finally, the method was operated on Matlab. The experimental results show that the method is feasibility and validity for accident management to disperse traffic and reduce the impact of the non-recurrent congestion.
This study develops alternative user friendly generator maintenance scheduling (GMS) considering not only probabilistic reliability maximization but also probabilistic production cost minimization. Furthermore, the pr...
详细信息
ISBN:
(纸本)9781509019717
This study develops alternative user friendly generator maintenance scheduling (GMS) considering not only probabilistic reliability maximization but also probabilistic production cost minimization. Furthermore, the proposed GMS system has various kinds of objectivefunctions as like as CO_2 minimization. The probabilistic reliability objective includes LOLE (Loss of load expectation), EENS (Expected energy not served) and EIR (Energy index of reliability). Production cost is evaluated with consideration of uncertainties of generators. In actual system case study describes effectiveness and user friendly of generator maintenance scheduling simulation systems proposed in this paper. Additionally, the practicality and effectiveness of the proposed approach are demonstrated in the simulation for a real-size power system model in Korea South-East Power CO. (KOEN).
In this paper, the authors make optimization to multi-objective function of cognitive radio with the help of quantum genetic algorithm(QGA) based on clonal selection. And a clonal selection quantum (CSQ) has been p...
详细信息
In this paper, the authors make optimization to multi-objective function of cognitive radio with the help of quantum genetic algorithm(QGA) based on clonal selection. And a clonal selection quantum (CSQ) has been put forward by quantum genetic algorithm and immune clonal selection, and the algorithm have been improved. It produces encouraging results when we apply the algorithm to the function optimization of cognitive radio with the introduction of simulation in the dynamic parameter set-up.
暂无评论