Optimization scheduling of virtual power plant with carbon capture and waste incineration considering P2G coordination

作     者：Zhang, Zongnan Du, Jun Zhu, Kongge Guo, Jing Li, Menghan Xu, Tao 

作者机构：Jiangsu Univ Sci & Technol Sch Energy & Power Zhenjiang 212100 Jiangsu Peoples R China State Grid Jiangsu Elect Power Co Ltd Lianyungang Power Supply Branch 1 Xingfu Rd Lianyungang 222000 Jiangsu Peoples R China Jiaxing Power Supply Co State Grid Zhejiang Elect Power Co Ltd Jiaxing 314000 Zhejiang Peoples R China 

出 版 物：《ENERGY REPORTS》 

年 卷 期：2022年第8卷

页      面：7200-7218页

核心收录：

基　　金：Postgraduate Re-search & Practice Innovation Program of Jiangsu Province [SJCX21_1777] 

主　　题：Power-to-gas Carbon capture Waste incineration Optimization scheduling Compound differential evolution algorithm 

摘      要：In order to promote multi-energy complementation and low carbonization, an optimal scheduling model of virtual power plant (VPP) with carbon capture and waste incineration considering powerto-gas coordination is proposed. By introducing the collaborative utilization framework with a carbon capture plant-power to gas (P2G)-gas unit system, the CO2 in the carbon capture can be used as the raw material of P2G, which produces natural gas to be supplied to the gas unit. In addition, the power consumption of the carbon capture and the flue gas treatment can be transferred through joint dispatching to smooth the fluctuation of renewable energy output, so that the wind power and photovoltaic can be indirectly dispatchable and flexibly utilized. In view of the high dimensional nonlinearity of the proposed optimization model and the difficulty in solving it, a new Gaussian compound differential evolution algorithm is designed to solve the model. The simulation results show that the proposed model and method can provide peak load shifting capacity and improve renewable energy consumption, effectively reducing the cost and carbon emission of VPP. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).