摘要
为了促进港区的新能源消纳,提高港区的能源利用效率,本文提出了一种基于港区交通-能源耦合的混合储能(HESS)协调港区源荷不平衡的日前调度策略。日前调度策略分为两步。首先,为了提高港区交通的运行效率,以船舶总泊位时间最小为目标函数建立了基于港区泊位-岸桥(B-QC)优化调度的港区电力负荷模型。然后,为了协调港区新能源与负荷的功率不平衡问题,建立了混合储能的运行退化成本模型,并提出了一种混合储能协调港区能源不平衡的日前调度策略。最后,通过算例验证了所提混合储能协调调度策略的有效性。算例结果表明,所提日前调度策略能够实现港区交通、电力的最优调度。相比于单储能系统,混合储能方式下港区运行成本降低了4.6%,同时,港区的碳排放总量降低了53.3%。
To improve the energy utilization efficiency of the port area and promote the consumption of renewable energy,in this paper,a hybrid energy storage system(HESS)day-ahead scheduling strategy to coordinate renew-able energy and load imbalance is proposed based on the coupling of transportation and energy in ports.The day-a-head scheduling strategy is divided into two steps.Firstly,to improve the efficiency of port transportation,aiming at the transportation optimization scheduling problem in ports,a berth-quay crane(B-QC)joint scheduling model based on load power of the port area is presented with the minimum total berth time of vessels as the objective func-tion.Secondly,to coordinate the power imbalance between renewables and load in ports,an operation degradation cost of HESS is formulated in the second stage,and a day-ahead scheduling strategy is proposed.Finally,a case study is provided to validate the effectiveness of the proposed method.The simulation results show that the proposed day-ahead scheduling strategy can realize the optimal scheduling of port transportation and electricity.Compared with the single energy storage system,the operating cost of the port area under HESS is reduced by 4.6%.Mean-while,the total carbon emissions of the port area decreased by 53.3%.
作者
何俊强
尹靖元
师长立
高云广
HE Junqiang;YIN Jingyuan;SHI Changi;GAO Yunguang(Taiyuan University of Science and Technology,Taiyuan 030024,China;Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《电工电能新技术》
CSCD
北大核心
2023年第8期10-18,共9页
Advanced Technology of Electrical Engineering and Energy
基金
国家重点研发计划项目(2021YFB2601602)
山西省自然科学基金项目(202203021211201)
太原科技大学博士科研启动基金(20222072)。
关键词
混合储能
新能源消纳
泊位-岸桥调度
日前调度
退化成本模型
hybrid energy storage system
renewable energy consumption
berth-quay crane scheduling
day-a-head scheduling
degradation cost model
