Multi-objective sequential CHP Placement Based on Flexible Demand in Heat and Electricity Integrated Energy System

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Chen, Yuqing^1^2 ; Yang, Shihai^1^2 ; Ji, Feng^1^2 ; Cao, Xiaodong^1^2 ; Li, Bo^1^2 ; Zhou, Xiaoming^3

Jiangsu Electric Power Company Research Institute, Nanjing, China^1

State Grid Power Demand Side. Management Technology Laboratory, Nanjing, China^2

Zhejiang University, China^3

关键词: Combined heat and power units;    Complementary relationship;    Comprehensive optimizations;    Coordinated optimization;    Energy utilization efficiency;    Integrated energy systems;    Medium-voltage distribution networks;    Overall energy efficiency;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012073/pdf
DOI  :  10.1088/1757-899X/486/1/012073

来源: IOP

【 摘 要 】

In order to improve the overall energy efficiency, one of the important trends in the field of energy is the construction of integrated energy systems. In the energy Internet, the comprehensive demand response makes use of the coupling and complementary relationship between different forms of energy, such as electricity and heat, and carries out the coordinated optimization of energy conversion equipment on the demand side to stimulate the flexibility of the comprehensive energy network, which is conducive to improving energy utilization efficiency and reducing energy supply and consumption cost. In this paper, considering the comprehensive demand side response of electricity and heat, an optimal configuration scheme of combined heat and power (CHP) unit is proposed. The scheme takes voltage amplitude, integrated network loss and economic cost as the comprehensive optimization objective. In order to effectively solve the above problems, this paper applies the sequence configuration strategy, adopts the direct power-thermal power flow method, weighted summation method and improved genetic algorithm to solve the above problems. Finally, the simulation of real medium voltage distribution network in Australia was carried out by MATLAB programming, which verified the rationality and superiority of the model.