Collaborative Optimization of Wind-Solar-Storage Configuration in County Distribution Network Considering Near-Zero Carbon Emission

In order to achieve the goals of “emission peak” and “carbon neutrality”, this paper proposes a collaborative optimization method of renewable energy and energy storage capacity for the construction of carbon-free county distribution networks, considering the complementary characteristics of wind and solar energy. Considering the uncertainty of renewable energy output, a multi-scenario collaborative stochastic optimization model of renewable energy and energy storage planning is established with the zero-carbon vision of county distribution network. Aiming at maximizing the net benefit of the wind-solar-storage configuration in a zero-carbon energy supply county system, the model optimizes the proportion structure of wind and solar energy sources as well as the corresponding energy storage capacity, taking the zero-carbon emission constraints into account. For solving the problem, the collaborative optimization model is converted into a mixed-integer linear programming model. Focusing on a county distribution grid in northern China, the impact of energy storage configuration and cascade utilization on the capacity configuration of various resources and the economic performance of the investment scheme in the zero-carbon wind-solar-storage energy supply system are analyzed respectively in case studies.