Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors

doi:10.3969/j.issn.1000-7229.2018.12.005

Abstract

Abstract: In order to satisfy the energy demands for electricity, natural gas and heat, and realize multi-objective scheduling and management of electric distribution system, natural gas distribution system and energy center （EC） system, a multi-objective day-ahead optimal scheduling method for integrated community energy system （ICES） considering the stochastic behaviors is proposed in this paper. Firstly, the mathematical models of electric distribution system, natural gas distribution system and EC system are developed. Secondly, the multi-objective stochastic optimization model is developed based on the chance constrained programming. The operation cost and total emission are considered as the objective functions and the model is solved by the non-dominatied sorting genetic algorithm II （NSGA-II）. Finally, by applying the proposed method to a typical ICES, a series of alternative solutions are provided to the operator, which can not only consider the effects of stochastic behaviors, but also satisfy the constraints of multi-energy power flow and realize the economic and environmental-friendly operation of ICES.

Key words: integrated community energy system （ICES）, energy center （EC）, multi-objective stochastic optimization, stochastic behaviors

CLC Number:

TM 72
TK01

LI Lin，XU Jing，LIN Wei, MU Yunfei，JIN Xiaolong，JIA Hongjie，YU Xiaodan，DU Lijia，YUAN Kai. Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors[J]. Electric Power Construction, 2018, 39(12): 39-46.

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