研究目的
To propose a quantitative capacity allocation method of a hybrid wind and solar energy system that satisfies reliability requirements by minimizing total investment, nodal voltages violating limits probability, and power supply inadequacy probability.
研究成果
A quantitative configuration model of a hybrid wind and solar system is proposed. The simulation demonstrates the model's effectiveness in optimizing the capacity allocation of different renewable energies. Future work will focus on enhancing optimization speed using computer clusters and addressing correlated random variables.
研究不足
The model assumes all random variables of the system are independent of each other, which is sometimes too idealistic. Future research will discuss the quantitative capacity configuration of a hybrid system involving correlated random variables.
1：Experimental Design and Method Selection:
Discrete probability distributions are established to model random factors. A multiobjective optimization model is formulated. An innovative probabilistic load flow algorithm is introduced for fast probability computing.
2：Sample Selection and Data Sources:
Simulation on an eastern China coastal island grid simplified to a 7-bus network.
3：List of Experimental Equipment and Materials:
Wind turbine generators (WTGs), photovoltaic (PV) modules, compensators, and loads.
4：Experimental Procedures and Operational Workflow:
Discretize continuous power curves or PDF curves to establish PDs of output power. Calculate means and PD of increments. Execute power flow calculation to obtain node voltage means and sensitivity matrix.
5：Data Analysis Methods:
Use Gram{Charlier series and properties of moments and cumulants for probabilistic analysis.
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