Two-stage planning optimization of multi-scenarios integrated energy system considering energy reliability. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Yu, Changle; Zhao, Qingqi; Liu, Jun; Zhu, Yuanda; Xu, Minghu; Xu, Haoran; Gao, Shuyi; Wang, Huaijian
• Is Part Of: IOP conference series. Volume 675:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/675/1/012160
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The pace of economic society and globalization is accelerating, and the energy shortage and environmental pollution is increasing relatively. In order to comprehensive utilizing energy, this paper constructs an Integrated Energy System (IES) with electricity and gas in and electricity, cooling, and heat out, and solves the optimal configuration of this energy system through a two-stage planning optimization model. First, the two-stage planning optimization model based on particle swarm optimization (PSO) is established, and the capacity configuration plan of energy device is solved by the first stage. Then, Rayleigh probability distribution model is used to describe the uncertainty of wind power output, and two device reliability indicators are proposed to be added to the constraints. Finally, the objective function of the second stage is solved to obtain the optimal operation plan, and the planning optimal results of IES is obtained by repeated iterations of the two stages. Considering the energy storage devices, the Industrial and Living-official scenarios of IES are simulated and the results show that the proposed model is available to different scenarios and can reduce the costs of the energy system effectively and make sure the energy supply reliably.