首页|多能互补能源基地开发模式及综合效益提升方法

多能互补能源基地开发模式及综合效益提升方法

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
近年来，建设清洁低碳安全高效的能源体系，发展可再生能源替代，构建以新能源为主体的新型电力系统成为我国能源发展的必然趋势。在风光资源富集地区，随着新能源装机不断增加，大型综合能源基地得到快速发展。该文基于主客观赋权法建立多能互补综合能源基地评估体系，对我国"三北"、西南及东部沿海区域发展布局多能互补基地进行评估。为进一步提升多能互补基地经济效益，建立基于长短期记忆神经网络(long short term memory，LSTM)的电价预测模型及多能互补日前优化调度模型，利用粒子群优化算法进行寻优，以实现能源基地综合收益最大化的日前优化调度目标。最后，以甘肃陇东千万kW级多能互补综合能源基地为例，分别开展夏季及冬季典型日的优化调度算例仿真，结果表明，该优化调度方法能够促进基地内新能源消纳的同时最大化能源基地综合收益，为大型综合能源基地的日前优化调度提供技术支撑。
Development Model of Multi-energy Complementary Energy Base and Comprehensive Benefit Enhancement Method
In recent years,the construction of a clean,low-carbon,safe and efficient energy system,the development of renewable energy alternatives,and the construction of a new power system with new energy as the main body have become the inevitable trend of China's energy development.In areas with abundant new energy resources,with the increasing installed capacity of new energy,large-scale comprehensive energy demonstration bases have been vigorously developed.This article establishes an evaluation system for multi-energy complementary comprehensive energy bases based on the subjective and objective weighting method,and evaluates the development and layout of multi-energy complementary bases in China's north,southwestern and eastern coastal regions.In order to further enhance the economic benefits of multi-energy complementary bases,the electricity price forecasting model based on long short-term memory neural network and the multi-energy complementary day ahead optimal dispatching model are established.The particle swarm optimization algorithm is used for optimization,so as to achieve the goal of day-ahead optimal dispatching to maximize the comprehensive income of the energy base.Finally,taking Longdong multi-energy complementary comprehensive energy base in Gansu Province as an example,the optimal dispatching simulation of typical days in summer and winter was carried out respectively.The results show that the optimized dispatching method can promote the absorption of new energy in the base and maximize the comprehensive income of the energy base,which provides support for the day-ahead optimal dispatching of large comprehensive energy bases.

multi-energy complementary comprehensive energy basedeveloping allocation modellong short term memory(LSTM)modelingoptimal dispatchparticle swarm optimization

刘楠、康俊杰、赵春阳

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国网北京电力有限公司,北京市 西城区 100032

中国华能集团有限公司能源研究院,北京市 西城区 100031

多能互补综合能源基地 发展布局模式 长短期记忆神经网络(LSTM)建模 优化调度 粒子群优化算法

中国华能集团有限公司科技项目

HNKJ21-H25

2024

10.13334/j.0258-8013.pcsee.231238

中国电机工程学报
中国电机工程学会

中国电机工程学报

CSTPCD北大核心
影响因子：2.712
ISSN：0258-8013
年,卷(期)：2024.44(4)
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