Volume 4: Proceedings of 11th International Conference on Applied Energy, Part 3, Sweden, 2019

Stochastic Energy Network Expansion Programming for District Integrated Heat and Power System Based on Chance Constraints Method Yang Lei, Dan Wang, Hongjie Jia, Zhengji Meng, Liu Liu, Peiting Wang

Abstract

In the context of a high proportion of renewable energy and multi-energy load access to energy system, the stochastic characteristics of energy supply side and load side need to be considered. In this paper, a district integrated heat and power system (DIHPS) model including wind turbine, photovoltaic, CHP, HP and gas boiler is established. Based on the chance-constrained programming model of DIHPS, this paper studies the changes of electric power and mass flow of energy network in DIHPS under stochastic conditions, and the changes of expansion schemes when energy stations connected. The results show that considering the randomness of energy supply side and load side, the expansion cost of power lines and thermal pipelines can be effectively reduced.

Keywords DIHPS, stochastic characteristics, chance-constrained programming, energy network expansion planning

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