项目来源
广东省科技计划
项目主持人
朱继忠
项目受资助机构
华南理工大学
立项年度
2020
立项时间
未公开
项目编号
2020A0505100004
研究期限
未知 / 未知
项目级别
省级
受资助金额
50.00万元
学科
资源综合利用及生态环境保护
学科代码
未公开
基金类别
国际科技合作领域
关键词
多能互补系统 ; 协同优化调度 ; 多能流耦合 ; 多管理主体 ; 多时间尺度 ; multi-energy ; complementary ; system ; cooperative ; optimal ; scheduling ; flow ; coupling ; multi-management ; subject ; multi-time ; scale
参与者
董朝阳；李盛林；陈梓瑜；何晨可；董瀚江；骆腾燕；蓝静；郭泰亨
参与机构
新南威尔士大学
项目标书摘要：多能互补系统的多样化可以表现在多能互补综合能源系统、风光储互补电力系统、电动汽车电站与主动配电网互补系统、多能互补微电网系统等。构建多能互补系统有助于提高总体效率和可再生能源消纳能力。为应对多能互补系统的能量管理的技术挑战，包括多能流耦合、多时间尺度和多管理主体，本研究开展多能互补系统协同优化调度基础理论与关键技术的研究，主要包括：为应对多能流耦合的技术挑战，通过模型驱动环节与数据驱动环节的多重串联配合，进行了电—气互补综合能源系统的运行优化与可靠性评估研究；为应对多系统主体融合的技术挑战，研究基于信息物理系统的风光储互补电力系统协同优化控制模型，考虑用户的行为经济性研究基于信息物理社会系统的可控负荷调度策略；为应对电动汽车充电站和主动配电网互补系统的多管理主体协调的技术挑战，开展计及碳减排的互补系统协调规划和考虑电池物流系统的集中充电站选址规划研究，并提出混沌模拟退火狮群算法对复杂模型进行求解；为应对多时间尺度协调优化的技术挑战，开展含波动性可再生能源的多能互补微电网多时间尺度协同优化运行研究和多用户分布式能源共享消纳研究。仿真结果验证了提出方法在多能互补系统协调运行、促进可再生能源消纳、改善能源系统经济性、确保复杂问题高效求解等方面的有效性。本研究为多能互补系统解决多能流耦合、多时间尺度和多管理主体的技术挑战提供新思路，奠定综合能源管理系统能量管理与优化控制的理论基础。
Application Abstract: The diversification of multi-energy complementary systems can be reflected in multi-energy complementary integrated energy systems,wind-solar-storage power systems,EV-to-ADN complementary systems,and multi-energy microgrid systems.Building multi-energy complementary systems can help improve overall energy efficiency and renewable energy consumption.To deal with the technical challenges of multi-energy flow coupling,multi-time scale,and multi-management subjects in the energy management of multi-energy complementary systems,this study carries out the research on the basic theory and key technologies of cooperative optimal scheduling of multi-energy complementary systems.The research contents mainly include:1To cope with the technical challenge of multi-energy flow coupling,the operation optimization and reliability evaluation of the electric-gas complementary integrated energy system are carried out through the multiple series cooperation of the model-driven section and the data-driven section.2To meet the technical challenge of multi-system subject collaboration,the coordinated optimization control model of wind-solar-storage complementary power system based on cyber-physical system is studied,and the controllable load scheduling strategy based on cyber-physical-social system is studied considering the user's behavioral economy.3To cope with the technical challenge of multi-management subject coordination among EV charging stations and ADN complementary systems,we carry out the complementary system coordination planning considering carbon emission reduction and the centralized charging station location planning research considering battery logistics system.The chaotic simulated annealing lion colony algorithm is proposed to solve the complex optimization model.4To meet the technical challenge of multi-time-scale coordinated optimization,we research the multi-time-scale coordinated optimal operation of multi-energy complementary microgrids with variable renewable energy.The research on multi-user distributed energy sharing and consumption is also considered.Simulation results verify the effectiveness of the proposed method in the coordinated operation of multi-energy complementary systems,promoting the consumption of renewable energy,improving the economy of the energy system,and ensuring the efficient solution of complex problems.This research provides new ideas for multi-energy complementary systems to solve the technical challenges of multi-energy flow coupling,multi-time scale and multi-management subjects,and lays a theoretical foundation for energy management and optimal control of integrated energy management systems.
项目受资助省
广东省
