Optimal Capacity Allocation of Battery Energy Storage Systems for Rural Distribution Grids Based on Improved Multi-Objective Whale Algorithm

In order to solve the adverse effects on voltage quality and active network losses caused by distributed power sources' access to the rural distribution network, this paper introduces a novel rural distribution network system that integrates photovoltaic (PV) technology, wind power, battery sto...

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Bibliographic Details
Published in:2023 3rd International Conference on Robotics, Automation and Intelligent Control (ICRAIC) pp. 183 - 188
Main Authors: Du, Xiaofei, Ai, Qing
Format: Conference Proceeding
Language:English
Published: IEEE 24.11.2023
Subjects:
Costs
Distribution networks
Improved multi-objective whale optimization algorithm
Loss measurement
Optimal allocation
Pooling mechanism
Rural distribution network
Search problems
Voltage measurement
Whale optimization algorithms
Wind power generation
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Summary:In order to solve the adverse effects on voltage quality and active network losses caused by distributed power sources' access to the rural distribution network, this paper introduces a novel rural distribution network system that integrates photovoltaic (PV) technology, wind power, battery storage systems, and rural loads. Secondly, the grid vulnerability index is used to measure voltage quality, and a multi-objective optimization model is constructed with active network losses and energy storage cost. Subsequently, an improved multi-objective whale optimization algorithm is designed for determining its capacity, which enriches its search strategy by introducing a pooling mechanism to enhance population diversity and improve optimization accuracy and speed. Finally, the simulation analysis is carried out through real case studies, and the outcomes demonstrate that this approach enhances the voltage quality of rural networks and diminishes active network losses by 17.9%.
DOI:10.1109/ICRAIC61978.2023.00040