地源热泵供暖用光储联合发电系统容量优化配置  

Capacity optimization configuration of a solar-storage combined generation system for ground source heat pump heating

作　　者：尹承城 苏凯 张玉祥 王振兴 杨君[2] YIN Chengcheng;SU Kai;ZHANG Yuxiang;WANG Zhenxing;YANG Jun(Shandong Geo-Mineral New Energy Co.,Ltd.,Jinan Shandong 250102,China;Shandong Jiaotong University,Jinan Shandong 250357,China)

机构地区：[1]山东地矿新能源有限公司,山东济南250102 [2]山东交通学院,山东济南250357

出　　处：《宁夏电力》2024年第6期6-11,共6页Ningxia Electric Power

基　　金：山东省高等学校青创科技支持计划(2020KJB002)。

摘　　要：为了提高能源利用率,同时减少能源消耗,以提高地源热泵供暖用光储联合发电系统发电收益和减少电量消耗为目的,根据每天用电高峰时段、平段时段、低谷时段的划分,设计了光储联合发电系统在非供暖季和供暖季的运行策略。以系统运行策略为基础,建立了经济性评价的以光伏组件容量和储能电池容量为决策变量的容量优化模型。仿真验证了系统容量优化模型的有效性。仿真结果表明:不计系统成本,系统运行10年时,从第6年开始收益,10年内总收益为242418.58元;系统成本为100000元,系统运行10年时,从第6年开始收益,10年内总收益为166329.55元。该模型可实现对项目成本的有效控制及发电系统的最优化控制,在满足供暖季需求的情况下,实现系统收益最大化。To improve energy utilization efficiency and reduce energy consumption,this study aims to increase the revenue generated by a solar-storage combined generation system for ground source heat pump heating.According to the segmentation of daily electricity demand into peak,flat,and valley periods,operational strategies for the solar-storage generation system are designed for both non-heating and heating seasons.Based on these operational strategies,an economically driven capacity optimization model was established,with photovoltaic(PV)panel capacity and storage battery capacity as decision variables.The effectiveness of the system capacity optimization model is validated through numerical simulations.The simulation results indicate that,without considering system costs,the system generates profits starting from the sixth year,with a total revenue of 242,418.58 yuan over ten years.With a system cost of 100,000 yuan,profits begin in the sixth year as well,yielding a total revenue of 166,329.55 yuan over the same period.This model effectively controls project costs and optimizes the generation system,maximizing system revenue while meeting heating season demands.

关 键 词：光伏发电 储能电池 地源热泵 容量优化 

分 类 号：TM615[电气工程—电力系统及自动化]