摘要
针对家庭用电需求侧响应以及提高电网效能水平、延缓配网改扩建投资相关问题的研究,提出一种基于储能系统且结合两部制电价政策,以削减用电开支为基本目的的负荷优化策略。通过调整用户电网侧市电有功功率(平缓负荷需求曲线)以及智能变流器的充放电功率,以期达到节省家庭电费支出的主要目的,同时具有节约能源、保障用电安全、降低整体发配电成本的辅助效果。基于家庭时序负荷特性和两部制峰谷分时电价激励,讨论不同时间段内储能设备的充放电策略;考虑资金的时间价值折算,在设备的安全使用寿命内,建立以设备的容量配置以及家庭最大用电需量为待优化变量,最大储能套利为目标函数的经济性评价模型,利用粒子群算法对目标函数模型求解。最后,通过算例分析比较不同情况下用户的经济收益以及储能设备的容量配置情况,观察削峰填谷的效果,验证了模型的有效性。
For response to household power demands,efficiency improvement of power grids and postponed investment on reconstructions and expansions of distribution grids,this study proposes a load optimization strategy based on energy storage system by combining two-part power price policy to reduce the power expense.This optimization strategy is expected to save household power expenses by adjusting the active power of utility powers of user power grids（flat load demand curve）and charging and discharging power of smart converters.This optimization strategy can also save energy,secure power use and reduce the whole power generation and transmission cost.Based on characteristics of the household time sequence load and two-party power price incentive for peak-valley time of use,this study discusses charging and discharging strategies of energy storage equipment in different periods.By considering the time value conversion of funds,this study establishes an economy evaluation model with equipment capacity configuration and maximal household power demand as variants to optimize and with maximal profits of the stored energy as the target function.This model solves the target function model by using the particle swarm algorithm.Finally,this study analyzes and compares economic benefits of users and capacity configurations of energy-storing equipment in different cases and observes the effect of the peak clipping and valley filling by using examples to valid effectiveness of models.
作者
徐培栋
陈丽
薛皓
张晗
XU Peidong;CHEN Li;XUE Hao;ZHANG Han(College of Mechanical and Electrical Engineering,Hebei Agricultural University,Baoding,Hebei 071001,China;Qinhuangdao Power Generation Co.,Ltd.,Qinhuangdao,Hebei 066000,China)
出处
《中国科技论文》
CAS
北大核心
2018年第11期1285-1290,共6页
China Sciencepaper
基金
河北农业大学理工基金资助项目(LG201502)
2014年保定科学技术研究与发展指导计划内项目(14ZG029)
关键词
需求侧响应
储能
时序负荷
两部制电价
粒子群算法
response to demand side
energy storage
time sequence load
two part power price
particle swarm algorithm
