East China Jiaotong University
在风电大规模发展的当下，风电并网的安全经济性问题变得尤为严峻，传统机会约束模型未充分考虑系统超出置信度区间运行时可能遭受的损失，对调度决策可能存在较大风险。本文基于条件风险价值理论提出衡量风电并网功率偏差风险的量化方法，并在调度过程中引入源网协调优化运行理念，构建了基于条件风险价值理论和源网协调运行的优化调度模型。采用多目标复合回溯搜索(Multi-objective Compound Backtracking Search，MOCBS)算法，以实现对优化调度模型的高效准确求解。最后以IEEE30节点为例进行验证，结果表明所提出的模型可有效衡量系统运行的潜在风险，并验证了MOCBS算法的优越性能。
With the large-scale development of wind power, the security and economy problem of wind power integration becomes particularly serious. The traditional chance constrained model does not fully consider the possible losses when the system runs beyond the confidence interval, which may have great risks to the scheduling decision. Based on the theory of Conditional Value-at-Risk, this paper proposes a quantitative method to measure the risk of power deviation of wind power grid connected, and introduces the concept of source network coordinated optimal operation in the scheduling process, and constructs an optimal scheduling model based on the theory of Conditional Value-at-Risk and source network coordinated operation. Multi-objective Compound Backtracking Search (MOCBS) algorithm is used to solve the optimal scheduling model efficiently and accurately. Finally, IEEE30 nodes are taken as an example to verify the model. The results show that the proposed model can effectively measure the potential risks of system operation, and verify the superior performance of MOCBS algorithm.