电测与仪表2023，Vol.60Issue(12)：36-43,8.DOI:10.19753/j.issn1001-1390.2023.12.005
基于分布鲁棒优化的电热综合能源配网系统与氢能源站协同优化
Collaborative optimal dispatching of integrated electricity-heat energy distribution network system and hydrogen fueling station based on distributionally robust optimization
摘要
Abstract
The hydrogen fueling station(HFS)is essential for the hydrogen production and supplies.However,the HFS often produces hydrogen at midnight and early morning,while the flexibility of the combined-heat-and-power(CHP)unit is reduced due to the heat load peak at the same time.In the integrated electricity-heat energy distribution system(IEDS)with a high proportion of renewable energy,the lack of flexibility of the CHP units will inevitably affect the economic and secure operation of IEDS and HFSs therein.Previous research focuses on the cooperative operation of power systems and HFSs without considering the flexibility issues.In this paper,it is aimed to propose a cooperative distributionally robust cooperative dispatching model of the IEDS and HFSs to achieve coordinated optimal operation for the operating cost-reduc-ing and safety operation.In this model,the recycled heat power generated in the HFSs is considered to be injected into the thermal system.Moreover,the uncertainty set therein for the wind power is constructed based on the clustering wind power scenarios using the historical data.Furthermore,a modified Benders decomposition algorithm owning a better con-vergence rate is correspondingly proposed to further decompose and thus solving the considered optimization model in a par-allel and decentralized manner.In addition,based on the example of the integrated energy testing system,a numerical sim-ulation is carried out.Under the premise of considering the HFS cooperative scheduling,the proposed cooperative schedu-ling model can reduce the operating cost by 7.8％,and the effectiveness of the proposed cooperative scheduling model in dealing with the uncertainty of wind power is analyzed.Finally,compared with the classical Benders algorithm,the solution time of the modified Benders decomposition algorithm proposed in this paper is reduced by 70％,and the number of itera-tions is reduced by 50％,which verifies that the decentralized optimization has good computational performance.关键词
分布鲁棒优化/氢能源站/综合能源配网/配电网/热力网/风力发电Key words
distributionally robust optimization/hydrogen fueling station/integrated energy distribution network/distribu-tion network/thermal network/wind power generation分类
动力与电气工程引用本文复制引用
张韶华,王必恒,石城,赵中原..基于分布鲁棒优化的电热综合能源配网系统与氢能源站协同优化[J].电测与仪表,2023,60(12):36-43,8.基金项目
国家自然科学基金资助项目(61601235) （61601235）
江苏省自然科学基金资助项目(BK20200824) （BK20200824）
