面向风电场-储能-输电网联合规划的机会约束IGDT模型

To guide coordinated development of clean energy and power grid, this paper proposes a novel methodology for joint planning of wind farm, energy storage and transmission to ensure sound wind farm investment. Specifically, a two-stage planning model covering planning decision-making and operation evaluation is established, considering constraints concerning equipment investment, energy storage operation, wind power quotas and guaranteed wind power utilization. Information gap decision theory is applied to manage the long-term uncertainties of load growth while chance constraints are formulated to control adaptability of planning schemes to the short-term uncertainties of wind power. To solve the planning problems efficiently, this paper also designs a suitable variant of Benders decomposition algorithm and corresponding convergence criteria and enhancement strategy. Numerical results show that the proposed model can be used in conjunction with construction of wind power to optimize transmission and wind-farm-side energy storage, effectively realizing sound wind farm investment and sufficient wind power utilization. The proposed solution algorithm can also drastically enhance computational efficiency.