高比例风电系统的优化调度方法

高比例风电的接入给系统优化调度带来了严峻的挑战。为促进高比例风电的消纳,建立了综合考虑发电成本和弃风成本的鲁棒机组组合模型;同时针对风电的空间集群效应和时间平滑效应,构建了考虑风电空间和时间约束的不确定集;此外为克服模型的求解难度,提出了分层列和约束生成算法,该算法将模型分解为3层优化问题予以求解,即第1层发电成本最小化的机组组合优化层,第2层安全可行性检验层,第3层风电最大化利用层,其中第2层向第1层反馈可行性割集,而第3层向第1层反馈风电消纳的割集,通过协调优化,以确保得到既能够应对的风电随机波动又促进风电充分利用的调度方案。最后结合修改后的IEEE 39节点算例进行了仿真,结果表明:考虑风电时空约束的模型降低了鲁棒优化的保守性,同时模型中加入弃风惩罚成本后提高了调度模型对高比例风电接入的适用性,此外所提算法能够有效地提升鲁棒机组组合的求解效率。

An Optimal System Scheduling Method With High Proportion of Wind Power

High proportion wind power poses serious challenges to optimal system scheduling.In order to cope with the problem of accommodation of high proportion wind power, a novel robust unit commitment model considering generation cost and wind curtailment cost is proposed.An uncertainty set is introduced to depict wind power fluctuation,and temporal smoothing effect and spatial clustering effect are taken into account to describe the spatial and temporal constraints of wind power.Besides,in order to overcome the difficulty of solving the model,a hierarchical column and constraint generation algorithm is proposed,decomposing the model into a three-layer optimization problem.The first layer is unit commitment optimization with minimum power generation cost,the second layer is feasibility security test,and the third layer is maximum wind power utilization.Among them,the second layer feeds back feasibility cut set to the first layer,and the third layer feeds back wind power accommodation cut set to the first layer,through coordination,to ensure a scheduling scheme able to cope with wind stochastic volatility and promote full use of wind power.Finally,simulation of a modified IEEE 39-bus system is carded out.The simulation results show that,the model considering the spatial and temporal constraints of wind power reduces conservativeness of robust optimization.Meanwhile,the penalty cost of wind curtailment is added into the model to improve applicability of the wind power model and ability of wind power accommodation.The proposed algorithm can effectively improve efficiency of the robust unit commitment.