Flexible Soft Switch Siting and Sizing for DG Power Flow Control
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Solution Overview
Problem
Traditional distribution networks face challenges in flexibility, control means, and economic optimization due to one-way energy flow and the integration of distributed generation (DG) with volatile and random power sources, leading to complex power flow and increased operational demands.
Innovation Solution
A method for siting and sizing a flexible soft switch in distribution networks using mixed second-order cone programming, incorporating interconnected flexible distribution system data, constraints, and an improved sparrow algorithm to optimize flexible soft switch placement and capacity, considering costs and constraints such as reactive power, capacity, and power flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If distributed generation (DG) is widely accessed to reduce transmitted power loss and environmental pollution, then power supply efficiency and environmental performance are improved, but the volatility and randomness of DG bring complexity to power flow distribution and increase requirements for power supply quality and network safety
Solution Approach 1:
The flexible soft switch acts as an intermediary device between distributed generation and the distribution network. It provides controllable power flow management, voltage regulation, and reactive power compensation to handle the volatility and randomness of DG sources, thereby reducing transmitted power loss while maintaining power flow manageability and network safety.
Solution Approach 2:
The flexible soft switch dynamically adjusts operating parameters such as impedance, voltage level, and power flow direction based on real-time network conditions and DG output characteristics. This enables the system to adapt to DG volatility and randomness, optimizing power flow distribution and reducing transmission losses without compromising network stability.
2Device complexity
If traditional closed-loop design and open-loop operation mode is used, then system structure is simple, but the mode lacks sufficient flexibility and has limited control means to meet diversified and complicated power system demands
Solution Approach 1:
The flexible soft switch introduces dynamic control capabilities to the traditionally static distribution network. It can dynamically adjust its impedance characteristics, control power flow direction, and regulate voltage levels in real-time, enabling the system to adapt to diversified and complicated power system demands while maintaining a relatively simple overall structure.
Solution Approach 2:
The flexible soft switch segments the distribution network into controllable zones, allowing independent optimization of different network sections. This segmentation enables localized control strategies to be implemented, improving overall system flexibility without requiring complete restructuring of the entire distribution network.
3Reliability
If flexible soft switch is deployed to enhance network flexibility and control capability, then system adaptability and power supply reliability are improved, but deployment cost and system complexity increase
Solution Approach 1:
The flexible soft switch is designed as a multi-functional device that simultaneously provides power flow control, voltage regulation, reactive power compensation, and harmonic filtration capabilities. By consolidating multiple functions into a single device, the system achieves improved power supply reliability and enhanced control capability without proportionally increasing system complexity or deployment costs.
Data Source
AI summary
The present invention discloses a method for siting and sizing a flexible soft switch of a distribution network based on mixed second-order cone programming, including: acquiring interconnected flexible distribution system data; establishing and optimizing, based on the interconnected flexible distribution system data and an interconnected flexible distribution system constraint, a flexible soft switch siting and sizing model with a minimal daily comprehensive operation cost as an objective; and acquiring an optimal flexible soft switch siting and sizing solution by using combination of an improved sparrow algorithm and second-order cone programming to solve. The present invention is both reliable and economic.