학술논문

Multi-objective optimal dispatch strategy for distribution networks with high-density PV and energy storage
Document Type
Conference
Source
2023 3rd International Conference on Electrical Engineering and Control Science (IC2ECS) Electrical Engineering and Control Science (IC2ECS), 2023 3rd International Conference on. :134-138 Dec, 2023
Subject
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Photovoltaic systems
Uncertainty
Heuristic algorithms
Power quality
Distribution networks
Power system stability
Stability analysis
distribution network optimization
high density photovoltaic
energy storage
multi-target
particle swarm algorithm
Language
Abstract
To optimize high-density PV usage, integrating energy storage in the distribution network reduces peak and valley loads and mitigates grid voltage pressure from distributed PV. PV generation and energy storage work together, influencing the network's load distribution. Selecting appropriate energy storage and PV output strategies ensures efficient and stable network operation. Optimization focuses on minimizing network losses and voltage deviations, assigning comprehensive weights to these objectives. A particle swarm algorithm constructs the optimization model, determining the optimal dispatch strategy for PV and energy storage collaboration. This is exemplified through a simulation of a 30-bus model, highlighting the importance of coordinated dispatching.