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Enhancing Operational Efficiency in Active Distribution Networks: A Two-Stage Stochastic Coordination Strategy with Joint Dispatch of Soft Open Points and Electric Springs

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Publicado en:Processes vol. 13, no. 9 (2025), p. 2825-2844
Autor principal: Chen, Lidan
Otros Autores: Gong Jianhua, Liu, Li, Keng-Weng, Lao, Wang, Lei
Publicado:
MDPI AG
Materias:
China
Integer programming
Alternative energy
Multilayers
Electric potential
Power control
Voltage
Optimization techniques
Multilayer perceptrons
Electricity generation
Renewable resources
Electric power
Active-reactive power
Variables
Stochastic models
Electronic equipment
Mixed integer
Efficiency
Stochastic programming
Acceso en línea:Citation/Abstract
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Resumen:Emerging power electronic devices like soft open points (SOPs) and electric springs (ESs) play a vital role in enhancing active distribution network (ADN) efficiency. SOPs enable flexible active/reactive power control, while ESs improve demand-side management and voltage regulation. This paper proposes a two-stage stochastic programming model to optimize ADN’s operation by coordinating these fast-response devices with legacy mechanical equipment. The first stage determines hourly setpoints for conventional devices, while the second stage adjusts SOPs and ESs for intra-hour control. To handle ES nonlinearities, a hybrid data–knowledge approach combines knowledge-based linear constraints with a data-driven multi-layer perceptron, later linearized for computational efficiency. The resulting mixed-integer second-order cone program is solved using commercial solvers. Simulation results show the proposed strategy effectively reduces power loss by 42.5%, avoids voltage unsafety with 22 time slots, and enhances 4.3% PV harvesting. The coordinated use of SOP and ESs significantly improves system efficiency, while the proposed solution methodology ensures both accuracy and over 60% computation time reduction.
ISSN:2227-9717
DOI:10.3390/pr13092825
Fuente:Materials Science Database