研究目的
To evaluate the renewable energy accommodation capacity (REAC) of power system with wind power and photovoltaic (PV) integration, considering uncertainty, correlation, and reliability.
研究成果
The proposed REAC evaluation approach effectively considers the uncertainty and correlation of renewable energy, providing accurate assessments of power system accommodation capacity. The method highlights the importance of considering wind power correlation, the seasonal variation in REAC, and the optimal ratio of wind to PV capacity for maximizing renewable energy utilization.
研究不足
The study focuses on wind power and PV integration, potentially overlooking other renewable sources. The correlation analysis is limited to wind speed and PV output, not extending to other system variables.
1：Experimental Design and Method Selection:
The study employs Copula theory for modeling wind power output considering uncertainty and spatial correlation, and solar irradiance and weather influence factor for PV output modeling. Monte-Carlo method is used for REAC evaluation.
2：Sample Selection and Data Sources:
Historical wind and PV data from northern China and IEEE Case 39 system are used.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The methodology involves generating wind speed series using Copula functions, calculating PV output based on solar irradiance, and evaluating REAC using a Monte-Carlo based model.
5：Data Analysis Methods:
The analysis includes evaluating REAC, reliability indexes (LOLP and EENS), and the influence of various factors on REAC.
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