Journal
ENERGY
Volume 171, Issue -, Pages 731-750Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.01.036
Keywords
Optimization method; Capacity planning; Regional integrated energy system; Energy and environmental cost; Operation scheme; Simulation
Categories
Funding
- 2018 Key Projects of Philosophy and Social Sciences Research, Ministry of Education, China [18JZD032]
- Project of Beijing Social Science Fund [18GL042]
- Fundamental Research Funds for the Central Universities [2018ZD13]
- 111 Project [B18021]
Ask authors/readers for more resources
This paper presents a two-stage optimization method for a coupled capacity planning and operation problem, cast within the economical operation of Regional Integrated Energy System. The first stage optimization of the proposed model represents a regional integrated energy system planner whose purpose is to minimize its energy and environmental cost, while the second stage is an operation problem whose primary role is to achieve the optimal operation scheme of the system. The regional integrated energy system planner pursues best interests by co-optimizing the capacity configuration and power output of individual energy supply module, while the regional integrated energy system maximizes the installed capacity of renewable energy sources and minimizes the environmental costs. To illustrate the advantage of the proposed method, the NSGA-II algorithm and the mixed integer linear programming method are implemented to solve the model based on simulation. Besides, application of the optimization method proposed to the energy infrastructure of a regional integrated energy system in China is discussed, and the results obtained through simulation are compared to the bi-level optimization objectives. The results show that the proposed method is economical and effective in practical application. (C) 2019 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available