摘要
针对海岛基础设施落后无法及时供能问题,提出了一种新型多能互补模型的微能源网优化方法。海岛孤岛环境下,以满足海岛居民负荷需求和供能满意度为目标函数,在包含波浪能、太阳能、风能和沼气能的多能互补基础上,研究波浪数据不足时预测模型对系统的影响,并充分考虑海洋环境中波浪与风的关系,建立风与波浪预测模型,采用粒子群算法对模型进行求解。算例表明,通过调度微能源网内各设备运行方式和出力,可以完全实现海岛用户对能源的需求,并且风与波浪预测模型可以有效减少能源网供需电负荷之差,提高用户满意度。
Aimed at the problem that the backward infrastructure of an island cannot supply energy in time,a micro-energy network optimization method for a novel multi-energy complementary model is presented.Under the island environment,the objective function is to satisfy the load demand and the satisafaction degree of energy supply for island residents.On the basis of multi-energy complementarity among wave,solar,wind and biogas energies,the effects of a prediction model on the system are studied when there is a lack of wave data.The relationship between wave and wind under the marine environment is fully taken into account,and a prediction model of wind and wave is established,which is further solved by uisng the particle swarm optimization algorithm.The results of an example show that the energy demand of island residents can be fully satisfied by dispatching the operation mode and output of each equipment in the micro-energy network.In addition,the prediction model of wind and wave can effectively reduce the difference between the supply and demand load of the energy network and improve the user’s satisfaction degree.
作者
赵为光
凌泽昊
杨莹
苏勋文
赵静强
ZHAO Weiguang;LING Zehao;YANG Ying;SU Xunwen;ZHAO Jingqiang(School of Electrical&Control Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2020年第8期54-61,共8页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助面上项目(51677057)
黑龙江省教育厅省属高校科技成果研发、培育、转化支持计划资助项目(TSTAU-R2018005)
博士后研究人员落户黑龙江科研启动资助项目(LBH-Q15125)。
关键词
海岛
微能源网
多能互补
风与波浪
island
micro-energy network
multi-energy complementarity
wind and wave
