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Power System Stochastic Unit Commitment Model for Large-scare Wind Power Integration Considering Demand Side Resources

机译:考虑需求侧资源的大恐慌风力集成电源系统随机单位承诺模型

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As the uncertainty output characteristics of wind power, the large-scale wind power integrated to the grid, has brought new challenges to power system operation. Based on the uncertainty characteristics of wind power, this paper establishes the wind power output model, then focuses on the positive effects of price-based demand response (PDR) and incentive-based demand response (IDR), which are allowed to participate in the power balance, on the unit commitment (UC) with high wind power penetration, and establishes the PDR and IDR models. Based on the chance constrained programming, this paper proposes a stochastic UC model with large-scale wind power integration considering demand side resources(DSR). Stochastic simulation combined with particle swarm optimization (PSO) algorithm was presented to solve this model. At last, the model is proved feasibly and effectively by testing the IEEE 10 machines system.
机译:随着风电的不确定性输出特性,集成到电网的大型风力电力,为电力系统运行带来了新的挑战。基于风电的不确定性特性,本文建立了风力输出模型,然后重点关注基于价格的需求响应(PDR)和基于激励的需求响应(IDR)的积极影响,允许参加电力平衡,在单位承诺(UC)具有高风电渗透,并建立PDR和IDR模型。基于机会约束编程,本文提出了一种考虑要求副资源(DSR)的大规模风力集成的随机UC模型。提出了随机仿真与粒子群优化(PSO)算法结合求解该模型。最后,通过测试IEEE 10机器系统,可自行且有效地证明该模型。

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