山东电力技术2025，Vol.52Issue(1)：1-11,11.DOI:10.20097/j.cnki.issn1007-9904.2025.01.001
基于改进边界收缩算法的灵活性资源聚合模型
Flexibility Resource Aggregation Model Based on Improved Boundary Shrinkage Algorithm
摘要
Abstract
On the demand side,regulation of energy storage,electric vehicles and other types of flexibility resources is an important regulator for improving the flexibility of the distribution system.In order to more accurately portray the aggregation flexibility of flexibility resource clusters,a flexibility aggregation method based on an improved boundary contraction algorithm is proposed.The flexibility resources are first inscribed into a equivalent energy storage model,followed by a boundary contraction algorithm based on high-dimensional polyhedral to solve the parameters of the aggregate equivalent model.On this basis,by adjusting the self-discharge coefficient of the equivalent energy storage model,the slopes of several hyperplanes of the external polyhedron of the polymerized equivalent model are made adjustable,thus changing the shape of the contracted internally connected polyhedral.Monte Carlo simulation is then used to sample the original aggregated feasible domains and calculate the sample coverage of the feasible trajectories of the aggregated equivalent model,which is used as an assessment of the effectiveness of the approximation.Finally,particle swarm optimization algorithm is used to find the self-discharge coefficients when the model has a maximum internally connected polyhedron,thus obtaining the optimal parameters for the equivalent energy storage.Example results show that the improved boundary contraction algorithm coverages to a larger space of feasible domains and improves the approximation accuracy by 13.54%compared to the original method,and the results have a lower conservatism.关键词
灵活性资源/灵活性聚合/等效储能/改进边界收缩算法Key words
flexibility resources/flexibility aggregation/equivalent energy storage/improved boundary shrinkage algorithm分类
信息技术与安全科学引用本文复制引用
翁亮涛,王思远,郑伟业,杨苓,朱继忠..基于改进边界收缩算法的灵活性资源聚合模型[J].山东电力技术,2025,52(1):1-11,11.基金项目
国家自然科学基金(52107094) （52107094）
新型电力系统运行与控制全国重点实验室开放基金课题(SKLD24KM04).National Natural Science Foundation of China(52107094) （SKLD24KM04）
Open Fund of State Key Laboratory of Power System Operation and Control(SKLD24KM04). （SKLD24KM04）
