Stochastic Optimal Operation of SOP-Assisted Active Distribution Networks with High Penetration of Renewable Energy Sources

Hongtao Li, Zijin Li, Bo Wang and Kai Sun ()
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Hongtao Li: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Zijin Li: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Bo Wang: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Kai Sun: State Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing 100084, China

Sustainability, 2024, vol. 16, issue 13, 1-14

Abstract: This paper introduces a mixed-integer convex model for optimizing the scheduling of soft open points (SOPs) integrated with energy storage (ES) in active distribution networks (ADNs) with high proportions of photovoltaic sources, designed to ensure zero risk of constraint violations. A stochastic optimization model for ADNs is proposed to maximize the benefits of SOPs while simultaneously minimizing system power losses, SOP power losses, voltage deviations, PV power curtailment, battery energy storage system (BESS) operation cost, and utility power purchase. Uncertainties in PV generation and load demand are considered by Monte Carlo simulation and k-means technologies. Finally, simulation cases from a 21-bus distribution network show that the curtailment of PV sources is minimized and the power fluctuations of the BESS are reduced in comparison to the case without SOP. Constraints in the nodal voltages, power outputs, energy balance, and power flow are all satisfied.

Keywords: active distribution networks; scenario generation and reduction; uncertainty; soft open point; economic power dispatch (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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