1.新能源电力系统国家重点实验室(华北电力大学)，北京市 102206;2.国网山西省电力公司经济技术研究院，山西省 太原市 030000
1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China;2.Economic and Technical Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030000, China
This paper proposes a method of equipment optimal configuration for an integrated energy system (IES) considering the uncertainties of integrated demand response (IDR). Firstly, in order to improve efficiency of energy use, the basic structure of IES considering IDR is constructed based on a combined cooling, heating and power system. Then, the aleatory and epistemic uncertainty of IDR are analyzed by the evidence theory, and the load curve under a certain price scheme is optimized by using a credible level constraint. On this basis, a bi-level collaborative planning model considering the optimal configuration and operation strategy of the equipment in IES is established. In the upper level, the equipment selection and capacity allocation are conducted with the goal of minimizing the total planning cost. And in the lower level, the equipment output is optimized with the lowest operation cost as the objective. By comparing the total costs of all tariff schemes, the optimal tariff and equipment allocation scheme can be obtained. Finally, the proposed approach is illustrated on an example and the results demonstrate that the optimal allocation results considering the uncertainties of IDR are more resistant to risks. Meanwhile, evidence theory can be used to achieve the unification of probability theory and interval theory.
LIU Wenxia,LI Zhengzhou,YANG Yue,et al.Collaborative Optimal Configuration for Integrated Energy System Considering Uncertainties of Demand Response[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190731013.