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Keywords

distributed photovoltaic; energy storage; reactive power compensation; mixed‑integer second‑order cone programming; compromise optimal solution

Abstract

To address the bus voltage security problem of distribution network caused by the fluctuations of photovoltaic output, and improve the economy and maximum power supply capacity, a coordinated multi‑objective optimal allocation model of energy storage and reactive power compensation devices in distribution network with distributed photovoltaic integration is proposed. The objectives are to minimize the investment and operation costs of energy storage and reactive power compensation devices, and to maximize the maximum power supply capacity of the distribution network. The decision variables are the installation location and capacity of energy storage and reactive power compensation devices. The original mixed integer nonlinear programming model is transformed into a mixed integer second‑order cone programming model by using the second‑order cone relaxation technique to reduce the difficulty of model solution and improve the computational efficiency. A search algorithm based on the parabolic approximation is proposed to directly search the compromise optimal solution of the multi‑objective optimization model from its Pareto frontier. Taking an actual 180‑bus distribution network with distributed photovoltaics as an example, the coordinated allocation calculation of energy storage and reactive power compensation devices is executed to demonstrate that the proposed method can efficiently obtain a decision scheme with a high optimization degree in economy and power supply capacity.

DOI

10.19781/j.issn.1673-9140.2023.05.003

First Page

22

Last Page

33

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