上海交通大学学报

上海交通大学学报

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考虑光伏不确定性的高耗能工业园区双时间尺度优化调度（网络首发）

  

  1. （1. 国网浙江省电力有限公司营销服务中心，杭州 311121；2. 山东大学 电气工程学院，济南 250061；3. 清华大学 清华深圳国际研究生院，广东 深圳 518055；4. 国网浙江省电力有限公司宁波供电公司，浙江 宁波 315000）
  • 基金资助:
    国网浙江省电力有限公司科技项目资助（B311YF230010）

Dual-Time-Scale Optimal Scheduling for High Energy-Consuming Industrial Park Considering Uncertainty of Photovoltaic

  1. (1. State Grid Zhejiang Marketing Service Center, Hangzhou 311121, China; 2. School of Electrical Engineering, Shandong University, Jinan 250061, China; 3. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, Guangdong, China; 4. State Grid Ningbo Electric Power Supply Company, Ningbo 315000, Zhejiang, China)

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摘要：

为充分发挥高耗能工业负荷的调节潜力，缓解新能源大规模接入带来的电力系统供需平衡压力，本文提出了一种考虑光伏不确定性的高耗能工业园区双时间尺度优化调度方法。首先，基于条件生成对抗网络生成典型的光伏出力场景，对工业园区调度过程中的光伏出力不确定性进行表征。其次，综合考虑园区内各类调控资源的耦合机理及调控特性差异，建立起高耗能工业园区双时间尺度优化调度模型：在日前阶段，以运行经济性最优为目标，优化了高耗能工业用户的生产计划；在日内阶段，通过调节电弧炉分接头挡位、储能充放电功率等更为灵活的调控资源，进一步平滑了工业园区的功率波动。最后，对含钢铁厂、水泥厂两类典型高耗能行业的工业园区进行优化调度，验证了所提方法的有效性。

关键词: 高耗能工业, 优化调度, 光伏不确定性, 双时间尺度

Abstract: In order to make full use of the potential regulation capacity of high energy-consuming industrial loads and alleviate the pressure on the supply-demand balance of power systems caused by the large-scale access of renewable energy resources, this paper proposes a dual-time-scale optimal scheduling method for high energy-consuming industrial parks considering uncertainty of photovoltaic (PV). Firstly, to characterize the uncertainty of PV during the optimal scheduling process of industrial parks, the typical scenarios of PV power outputs are generated based on the conditional generation adversarial network (CGAN). Secondly, considering the coupling mechanism and regulation characteristics of various regulation resources in the industrial park, a dual-time-scale optimal scheduling model is established for high energy-consuming industrial parks. In this scheme, the production plan of high energy-consuming industrial users is optimized to maximize the operation economy of the industrial park in the day-ahead stage. While in the intra-day stage, the power fluctuation of the industrial park is further smoothed by coordinating the tap position of electric arc furnaces and the charging/discharging power of energy storage resources. Finally, the optimal scheduling of an industrial park containing two typical high energy-consuming industries (i.e., iron and steel plants and cement plants) is carried out to verify the effectiveness of the proposed method.

Key words: high energy-consuming industry, optimal scheduling, uncertainty of photovoltaic, dual-time-scale

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