In this paper, a new distributed model predictive control (MPC) scheme for freeway traffic control is proposed. It is aimed at reducing the communication efforts and the computation times in a large network. This new ...
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ISBN:
(纸本)9781479960781
In this paper, a new distributed model predictive control (MPC) scheme for freeway traffic control is proposed. It is aimed at reducing the communication efforts and the computation times in a large network. This new algorithm can coordinate a large number of on-ramps throughout a freeway network in a partially cooperative scheme. The communication is performed between neighboring on-ramps in a special serial fashion and with three different proposed cooperative schemes. The computation time is much less than that of existing distributed MPC approaches in the literature, while achieving a performance close to the one of the centralized MPC method. To evaluate the performance of the proposed partially cooperative schemes, a freeway network case study is selected and the problem of coordination between several on-ramps is solved using different methods from a centralized approach to a fully decentralized one. The obtained results show a significant decrease in the total computation time with respect to the centralized and fully cooperative schemes, while maintaining a close distance to the optimal objective function obtained from the centralized case. Furthermore, the performance of the proposed partially cooperative MPC method is evaluated in the case of incidents in the network.
In order to evaluate the effective of the hydrodynamic control of pumps and slice gates in plain river network on the water quality improvement, an optimal mathematic model of hydrodynamic controlling on the pumps and...
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ISBN:
(纸本)9783037856833
In order to evaluate the effective of the hydrodynamic control of pumps and slice gates in plain river network on the water quality improvement, an optimal mathematic model of hydrodynamic controlling on the pumps and slice gates in plain river network was established by combining the water quality objectivefunction and the cost objectivefunction together. The cost function has been set as the main objectivefunction, while the water quality objectivefunction was simplified as the restrained condition for every required water quality index, through which the multi-objective optimization was transferred into a single-objective optimization. Then, this optimal model was solved by coupling the water environmental model with the hybrid genetic algorithm. The case study of Jiaxing river network shows that the proposed hydrodynamic controlling optimal model in this paper can develop the optimal water diversion scheme for water quality improvement and cut its cost. It works better compared to the traditional water quality objectivefunction and can be used in the engineering practice.
In this study, the installed capacity selection of a hybrid energy generation system (HEGS) based on the algorithm of improved particle swarm optimization (IPSO) with dynamically changing inertia weight and accelerati...
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ISBN:
(纸本)9781424487554
In this study, the installed capacity selection of a hybrid energy generation system (HEGS) based on the algorithm of improved particle swarm optimization (IPSO) with dynamically changing inertia weight and acceleration coefficients is presented. In the IPSO, the penalty technique is used to solve the optimization problem with equality and inequality constraints for updating the particle's position and its global best position. The studied HEGS, which includes wind power, photovoltaic (PV), and fuel cells (FC), aims to suppress the penalty bill caused by exceeding the contract power capacity with the power company and to supply the backup emergent power. In order to enable each energy source for making the best contribution in the system and satisfying the required load demand at minimal installation cost and shortening the payback period, an optimal objective function by considering the installation cost and cost recovery is formulated, and the optimal ratio of the installed capacity of the HEGS can be obtained by calculating the minimum value of the objectivefunction. The proposed IPSO algorithm has been examined, tested and compared with other methods on the optimization problem, and proven to be more efficient in searching the global solution through numerical simulations of a real case.
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