水火风光多能互补系统联合调度问题两层优化建模方法研究

Research on Two-layer Optimization Modeling Method for Joint Scheduling Problem of Water,Fire,Wind and Solar Multi-Energy Complementary Systems

为解决水火风光多能互补发电系统联合优化复杂问题,提出了一种水火风光多能互补系统联合调度问题两层优化建模和求解方法,上层以余荷均方差和期望均值最小为目标函数对水风光清洁能源打捆进行联合优化,下层以成本经济指标最小为目标函数对火电适配余荷进行优化。以江西省典型春秋季、夏季和冬季江西省的电网负荷以及风电、光电的出力过程为研究对象进行实例分析,采用研究团队提出的DPSA-POA和智能算法混合优化方法进行模型求解,验证了本文所提两层优化建模和求解方法的有效性。并发现了风光可弃情境相比风光完全消纳情景虽然在火电出力上有所提高,但在整体运行费用上有所降低。在以春秋季江西省的电网负荷和风电、光电的出力过程为研究对象进行的实例分析结果显示,火电出力总和提升了5.79%,多能互补系统整体运行费用减少了4.97%;在以夏季江西省的电网负荷和风电、光电的出力过程为研究对象进行的实例分析结果显示,火电出力总和提升了0.32%,多能互补系统整体运行费用减少了1.95%;在以冬季江西省的电网负荷和风电、光电的出力过程为研究对象进行的实例分析结果显示,火电出力总和提升了10.70%,多能互补系统整体运行费用减少了6.78%。该方法为求解水火风光多能互补联合优化复杂问题提供了一种新的思路。

In order to solve the complex problem of joint optimization of water,fire,wind and solar multi-energy complementary power generation systems,this paper proposes a two-layer optimization modeling and solution method for the joint scheduling problem of water,fire,wind and solar multi-energy complementary systems,in which the upper layer uses the minimum mean square deviation of residual load and the minimum expected mean value as the objective function to jointly optimize the water,wind,solar and clean energy bundling,and the lower layer takes the minimum economic index as the objective function to optimize the adaptive residual load of thermal power.Taking the typical spring,autumn,summer and winter power grid load and the output process of wind power and photovoltaic power in Jiangxi Province as the research object,a case analysis was conducted.The model is solved by using the DPSA-POA and intelligent algorithm hybrid optimization method proposed by the research team,which verifies the effectiveness of the two-layer optimization modeling and solution method proposed in this paper.It is also found that compared with the complete consumption of wind and solar power,the overall operating cost of the discardable wind and solar power scenario has increased,but the overall operating cost has reduced.The case analysis results of the power grid load and the output process of wind power and photovoltaic power in Jiangxi Province in spring and autumn show that the total output of thermal power has increased by 5.79%,and the overall operating cost of the multi-energy complementary system has decreased by 4.97%.The case analysis results of the grid load and the output process of wind power and photovoltaic power in Jiangxi Province in summer show that the total output of thermal power has increased by 0.32%,and the overall operating cost of the multi-energy complementary system has decreased by 1.95%.The case analysis results of the grid load and the output process of wind power and photovoltaic power in Jiangxi Province in winter show that the total output of thermal power has increased by 10.70%,and the overall operating cost of the multi-energy complementary system has decreased by 6.78%.This method provides a new idea for solving the complex problem of water,fire,wind and solar multi-energy complementary joint optimization.