上海交通大学学报

上海交通大学学报

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考虑多重不确定性的水泥工业用户需求响应区间评估方法

  

  1. 1. 广东电网有限责任公司 电网规划研究中心，广州 510000；

    2. 上海交通大学 电力传输与功率变换控制教育部重点实验室，上海 200240
  • 通讯作者: 张沈习，研究员，博士生导师；E-mail: willzsx@sjtu.edu.cn。
  • 作者简介:段瑶（1986－），博士，高级工程师，从事电力系统规划、分析研究。
  • 基金资助:

    国家自然科学基金资助（52177099）

Evaluation Method for Demand Response Interval of Cement Industry Users Considering Multiple Uncertainties

  1. 1. Grid Planning & Research Center, Guangdong Power Grid Co., Ltd., Guangzhou 510000,  China；

    2. Key Laboratory of Control of Power Transmission and Transformation of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

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摘要： 为了准确评估水泥工业用户在工序多元负荷及风光出力波动下可为电力系统运行提供的需求响应能力，提出一种考虑多重不确定性的水泥工业用户需求响应区间评估方法。首先，利用箱式不确定集描述水泥工业用户工序多元负荷与风光出力的波动特征，并建立不确定集宽度与保守度参数的映射关系，在此基础上，改进保守度参数约束条件，使保守度参数自适应优化以考虑工序多元负荷的耦合影响；其次，建立以运行成本最小为目标函数的水泥工业用户需求响应区间鲁棒优化评估模型，并采用列与约束生成算法求解各工序设备运行状况，将对外响应功率作为边界评估水泥工业用户需求响应区间；最后，算例表明所提方法能够在计及工序多元负荷与风光出力波动影响下，有效评估水泥工业用户在最优成本下的需求响应区间，为水泥工业用户参与电网调度及电力交易提供指导。

关键词: 水泥工业用户, 工序多元负荷, 不确定性, 需求响应区间

Abstract:

In order to accurately evaluate demand response capability of cement industry users for the operation of power system under the fluctuations of process multivariate loads and wind and photovoltaic generation, an evaluation method for demand response interval of cement industry users considering multiple uncertainties is proposed. Firstly, the box uncertainty set is used to describe the fluctuations characteristics of process multivariate loads and wind and photovoltaic generation in cement industry users, and the mapping relationship between the uncertainty width and the conservatism parameter is established, on this basis, the constraints of conservatism parameter are improved, and the adaptive optimization of the conservatism parameter is used to solve the coupling influence between process multivariate loads. Secondly, a robust optimization evaluation model of demand response interval of cement industry users with the lowest operating cost as the objective function is established, and the column and constraint generation algorithm is used to get the operation status of each process equipment, and the external response power is used as the boundary to evaluate demand response interval of cement industry users. Finally, the example shows that the proposed method can effectively evaluate demand response interval of cement industry users at the optimal cost considering the fluctuations influence of process multivariate loads and wind and photovoltaic generation, which provides guidance for cement industry users to participate in the power grid dispatching and power trading.

Key words:

"> cement industry users, process multivariate loads, uncertainty, demand response interval

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