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To reduce the initial cost of battery energy storage and build basic construction of smart city, this paper proposes an optimization method of battery energy storage location and sizing based on demand response. It builds the battery energy storage site and capacity model, whose objective is the life cost cycle, income by load shifting and decrease of line loss. Demand response is imported to the...
In order to achieve the goal of economic and environmental mutual optimization of micro-grid system operation, a general model of multi-objective dynamic optimal scheduling is established, which takes the independent system simulation module and the operation optimization module as the core. The simulation module uses energy model to evaluate economic and environmental indexes of the system scheduling...
A technique for optimal trajectory planning of robot manipulators is presented. It consists of linking two points in the operational space while minimizing a cost function, taking into account dynamic equations of motion as well as bounds on joint velocities, accelerations, jerks and force/torques. We choose the cost function as a weighted balance of traveling time and mechanical energy of the actuators...
Owing to the demanding processing accuracy and speed for image registration in industrial application, an approach to image registration based on Pseudo-Polar Fast Fourier Transform (PPFFT) and Small World Clonal Selection Algorithm (SWCSA) is introduced. We propose a three-step procedure. Firstly, PPFFT is performed to the image. Then, by using the magnitude of PPFFT, a cost function is designed...
In this paper, a mutation with cycle probability is designed by simulating the evolutionary rule of the earth creature, and a genetic algorithm based on the cycle mutation, presents the ability in improving search efficiency and overcoming premature to some extent. To further improve performance of the algorithm, the selection is mended according to the phenomena that optimum individual always plays...
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