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基于相关机会目标规划的电力系统日内滚动调度
引用本文:李志伟,赵书强,刘金山.基于相关机会目标规划的电力系统日内滚动调度[J].电力系统自动化,2019,43(11):77-85.
作者姓名:李志伟  赵书强  刘金山
作者单位:新能源电力系统国家重点实验室(华北电力大学),河北省保定市,071003;国网青海省电力公司调控中心,青海省西宁市,810008
基金项目:国家重点研发计划资助项目(2017YFB0902200);国家电网公司科技项目(5228001700CW);中央高校基本科研业务费专项资金资助项目(2018QN074)
摘    要:可再生能源大规模接入电力系统的背景下,考虑可再生能源出力不确定性对电力系统日内滚动调度模型功率平衡方程的影响,建立了含有预测误差不确定变量的功率平衡方程。为了实现含有不确定变量功率平衡方程的求解,将功率平衡方程的等式约束转化为最大化随机事件成立概率的目标函数,建立相关机会规划模型。考虑可再生能源出力不确定性,兼顾方案的鲁棒性和经济性,建立了系统旋转备用容量的机会约束模型。为了实现所建随机优化调度模型的快速求解,提出基于采样的机会约束条件确定性转化方法,将所建含有多个随机变量的机会约束条件进行等效确定性转换,又引入目标优化将所建多目标优化模型转化为单目标优化模型。最后,算例仿真验证了所建模型的有效性。

关 键 词:电力系统滚动调度  功率平衡方程  相关机会规划  机会约束条件确定性转化
收稿时间:2018/7/14 0:00:00
修稿时间:2019/3/11 0:00:00

Intraday Rolling Dispatching of Power System Based on Dependent Chance Goal Programming
LI Zhiwei,ZHAO Shuqiang and LIU Jinshan.Intraday Rolling Dispatching of Power System Based on Dependent Chance Goal Programming[J].Automation of Electric Power Systems,2019,43(11):77-85.
Authors:LI Zhiwei  ZHAO Shuqiang and LIU Jinshan
Affiliation:State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding 071003, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding 071003, China and Dispatching and Control Center of State Grid Qinghai Electric Power Company, Xining 810008, China
Abstract:In the context of the large-scale renewable energy integrated into power system, the power balance equation with uncertain variables of prediction error is established considering the influence of renewable energy output uncertainty on the power balance equation in the intraday rolling dispatching model of the power system. In order to solve the power balance equation with uncertain variables, the equation constraint of power balance equation is transformed into the objective function to maximize the probability of occurrence of random events, and the dependent chance programming is established. Considering the uncertainty of renewable energy output, the robustness and economy of the scheme, the chance-constrained model of the system spinning reserve capacity is established. In order to improve the efficiency of solving the stochastic optimization dispatching model, a deterministic transformation method of chance-constrained conditions based on sampling is proposed, in which the chance-constrained conditions with multiple random variables are equivalently deterministically transformed, and then the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model. Finally, an example is discussed to demonstrate the effectiveness of the proposed model.
Keywords:rolling dispatching of power system  power balance equation  dependent chance programming  deterministic transformation of chance-constrained condition
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