研究目的
Investigating the reactive power optimization control strategy for distribution networks with photovoltaic generation to minimize network loss and improve voltage quality.
研究成果
The genetic algorithm-based reactive power optimization strategy effectively reduces network loss and improves voltage quality in distribution networks with photovoltaic generation, as demonstrated by simulation results.
研究不足
The study focuses on the IEEE 30-node system, and the applicability to other systems or under different conditions is not explored. The genetic algorithm's parameters (crossover probability, mutation probability) are fixed, which may not be optimal for all scenarios.
1：Experimental Design and Method Selection:
The study employs a genetic algorithm for reactive power optimization, focusing on decoupling control of active and reactive power in photovoltaic grid-connected inverters.
2：Sample Selection and Data Sources:
The IEEE 30-node system is used as a case study, including generators, transformers, and reactive compensation points.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The process involves establishing a mathematical model for reactive power optimization, applying genetic algorithm for optimization, and simulating the results.
5：Data Analysis Methods:
The analysis includes comparing node voltages before and after optimization and evaluating the reduction in network loss.
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