monkeyalgorithm (MA) is one of the evolution algorithms originally developed for optimization problems with continuous variables. In this paper, a discrete monkey algorithm (DMA) was proposed for transmission network...
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ISBN:
(纸本)9781424483570
monkeyalgorithm (MA) is one of the evolution algorithms originally developed for optimization problems with continuous variables. In this paper, a discrete monkey algorithm (DMA) was proposed for transmission network expansion planning, one discrete optimization problem. It includes the representation of solution, the modification of objective function, climb process, watch-jump process, cooperation process, somersault process, stochastic perturbation mechanism and termination criteria. Large-step and small-step climb process are designed to avoid the disordered climb direction during the MA optimization process. Cooperation process and stochastic perturbation mechanism are also introduced to improve computational efficiency. The proposed method is applied to a 18-bus system and the IEEE 24-bus system. Numerical results demonstrate that DMA has powerful computational capability and is capable of solving different dimensions of expansion planning problems efficiently with small population size.
Distributed generators are being widely integrated into China's urban distribution network unevenly, which accounts for different load rates of distribution transformer cluster in spatial dimension and low net loa...
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Distributed generators are being widely integrated into China's urban distribution network unevenly, which accounts for different load rates of distribution transformer cluster in spatial dimension and low net load simultaneity rate in temporal dimension. Therefore, it is necessary to carry out flexible dispatching for the distribution transformer cluster in active distribution network to effectively reduce the grid loss. Different from the existing research on dynamic reconfiguration of the network supplied by a single transformer or a single feeder, the grid loss of distribution transformer cluster is optimized in the paper. Firstly, a 0-1 integer optimization model is established. The model is characterized by calculating the total grid loss of distribution transformer cluster based on the connectivity of power supply path and considering the spatio-temporal constraints such as total change times of switches. Secondly, uncertainty of renewable energy output is considered with k-means clustering algorithm effectively. The reduced scenarios are used for flexible dispatching simulation. Then, the discrete monkey algorithm, characterized by the cross iteration of local optimization and global search, is improved for solving 0-1 integer programming problem. The improved method can deal with the temporal coupling constraints in the model. Finally, the effectiveness of the proposed method is identified by case study. Flexible dispatching of distribution transformer cluster can greatly reduce the grid loss of active distribution network, and the optimal dispatching scheme will change along with the change of distributed generator output. (C) 2021 The Authors. Published by Elsevier Ltd.
The operation and dispatching pressure of active distribution network is gradually increasing with the integration of distributed generators into urban distribution network unevenly. It is necessary to carry out resea...
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The operation and dispatching pressure of active distribution network is gradually increasing with the integration of distributed generators into urban distribution network unevenly. It is necessary to carry out research on active and reactive power coordinated dispatching. In order to obtain the coordinated dispatching scheme rapidly, the active and reactive power coordinated dispatching is decoupled in this paper. Reactive power optimization and active power dispatching are carried out respectively. The final coordination dispatching scheme is formulated through the cross iteration of active power dispatching and reactive power optimization. Firstly, the reactive power optimization model is set by mainly considering adjusting transformer tap and changing capacitor output capacity. The model is solved by a two-stage method to obtain the dynamic dispatching scheme. Secondly, active power dispatching model of active distribution network is set considering network reconfiguration. To obtain the solution quickly, the discrete monkey algorithm is used to solve the model, among which particle swarm optimization algorithm is used in the climb process to solve the sequential coupling problem of switch state variables. Finally, the node voltage quality can be effectively improved and grid loss of distribution transformer cluster can be significantly reduced by a few of adjustments of transformer taps, shunt capacitors and switch. The practicability of dynamic coordination dispatching method is proved.
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