考虑风电接入和气电转换的综合能源系统日前区间优化

Day-ahead Interval Optimization of Integrated Energy System Considering Wind Power Integration and Gas-Electricity Transformation

针对气电综合能源系统优化调度中未充分挖掘可调度因素、未充分考虑风电预测误差不确定性的现状,研究含风电的气电综合能源系统日前区间优化调度方法。首先,基于区间数学对风电出力的不确定性进行区间描述,综合考虑抽水蓄能、气电双向转换以及需求响应等资源和技术,并用区间数学表示优化目标和优化约束,构建含高比例风电的气电综合能源系统日前优化模型,综合优化系统的经济性、环保性。然后,基于区间序关系和可能度的方法将区间优化模型转化为确定性优化模型,继而采用Jaya算法进行求解,保证求解的高效性和解空间的可行性。最后,进行算例分析,仿真结果验证了综合利用抽水蓄能、气电双向转换以及需求响应等要素对系统进行区间优化,能取得优化效果上的优势,并能为系统调度人员提供风电不确定度对系统优化影响的信息。

According to the current situation that the schedulable factors of gas-electricity integrated energy system(GEIES) are not fully explored, and the uncertainty of the prediction error of wind power is not fully considered, a day-ahead interval optimization dispatch method of GEIES with wind power is studied. Firstly, the uncertainty of wind power is described in intervals based on the interval mathematics. Some resources and technologies such as pumped storage, bidirectional gas-electricity transformation and demand response, are considered comprehensively. The optimization goal and optimization constraints are all expressed by interval mathematics, and the day-ahead optimization model of GEIES with high proportion of wind power is formulated to optimize the economy and environmental protection of the system. Then, the interval optimization model is transformed into a deterministic optimization model based on the interval order relationship and possibility which is solved by Jaya algorithm to ensure the efficiency of the solution and the feasibility of the solution space. Finally, a case study has been carried out. The simulation results show that comprehensive utilization of pumped storage, bidirectional gas-electricity transformation and demand response for interval optimization can obtain better optimization effects, which can provide the information for system dispatchers on the impact of wind power uncertainty on system optimization.