电力系统自动化2018，Vol.42Issue(4)：55-63,9.DOI:10.7500/AEPS20170602002
面向多能互补的分布式光伏与气电混合容量规划方法
Capacity Planning Method of Distributed PV and P2G in Multi-energy Coupled System
摘要
Abstract
A scenario-based capacity planning method for distributed photovoltaic power generation (PV) and power-to-gas (P2G)equipment in a multi-energy coupled system is proposed.Based on the significant temporality and seasonality of solar intensity and load,an idea is proposed which uses the reduced scenario results of the seasonal daily solar intensity and load as the input data for the optimal capacity mathematical optimization model.Firstly,the sum of infrastructure investment and operating costs of the multi-energy coupled system under multiple scenarios is regarded as the goal.Secondly,a mathematical optimization model with the objective function and constraints is put forward.The probability-weighted operational cost and benefit are calculated under multiple seasonal scenarios. Then, the bacterial forging algorithm is used to solve this mathematical optimization model.Finally,one benchmark multi-energy coupled system with the co-operation of distribution and gas network including distributed PV and P2G is simulated.The effectiveness of the proposed method is verified and the influence of various price parameters on the results is analyzed.关键词
多能互补系统/分布式光伏/电转气/容量规划/场景削减Key words
multi-energy coupled system/distributed photovoltaic/power-to-gas(P2G)/capacity planning/scenario reduction引用本文复制引用
马溪原,郭晓斌,雷金勇..面向多能互补的分布式光伏与气电混合容量规划方法[J].电力系统自动化,2018,42(4):55-63,9.基金项目
国家重点研发计划资助项目(2016YFB0901300).This work is supported by National Key R&D Program of China(No.2016YFB0901300). （2016YFB0901300）
