Multi-stage planning of distribution networks considering wind-solar correlation

This paper presents a multi-stage coordinated planning method for active distribution networks. For the correlation and uncertainty of new energy generation, this paper uses t-copula to simulate the joint distribution function of wind and PV, and uses the maximum likelihood estimation method to solve for the unknown parameters in the distribution function. Typical scenarios considering the relevance of new energy generation are obtained using both Monte Carlo and k-means++ methods. In terms of planning, coordinated planning of wind power, photovoltaic power and energy storage devices is considered. To simplify the difficult situation of multi-stage planning for distribution networks due to multi-stage coupling, this paper proposes a two-stage algorithm to solve the multi-stage planning problem for distribution networks. Firstly, the configuration locations and capacities of the scenarios after considering the multi-stage planning are calculated, and secondly, the configuration times are solved in the second stage using the obtained configuration scenarios. And this paper uses IEEE 69 nodes to test the model proposed in this paper to verify the effectiveness of the method proposed in this paper.