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Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network

Xiaobo Tang, Kai Deng, Qiuwei Wu, Yulong Feng

2020IEEE Access23 citationsDOIOpen Access PDF

Abstract

Given the current situation of large-scale energy storage system (ESS) access in distribution network, a practical distributed ESS location and capacity optimization model is proposed. Firstly, a weighted voltage sensitivity is proposed to select the grid-connected node set of ESS. On this basis, the distributed ESS location model is established, which aims at reducing voltage deviation and active power loss of the distribution network. Then, an ESS partition method based on the improved flame propagation model is proposed, and the partition results are obtained by constructing the flammability of nodes, the wind direction of flame propagation, speed of flame propagation and other indicators. Based on partition results, the capacity optimization model is established with the maximum annual net income of energy stored in the partition as the objective function. Finally, the improved IEEE-33 bus distribution network is used to demonstrate the effectiveness and feasibility of the proposed model.

Topics & Concepts

Partition (number theory)Computer scienceEnergy storageDistributed generationGridVoltageNetwork partitionDistributed data storeMathematical optimizationNode (physics)Power (physics)Automotive engineeringDistributed computingEngineeringElectrical engineeringRenewable energyMathematicsGeometryStructural engineeringQuantum mechanicsPhysicsCombinatoricsOptimal Power Flow DistributionMicrogrid Control and OptimizationPower Systems and Renewable Energy
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