太阳能学报2024,Vol.45Issue(6) :161-170.DOI:10.19912/j.0254-0096.tynxb.2023-0184

异构能源系统模块化建模及控制策略研究

RESEARCH ON MODULAR MODELING AND CONTROL STRATEGY OF HETEROGENEOUS ENERGY SYSTEM

胡帆 董文杰 周小光 吴任博 毕燕雷
太阳能学报2024,Vol.45Issue(6) :161-170.DOI:10.19912/j.0254-0096.tynxb.2023-0184

异构能源系统模块化建模及控制策略研究

RESEARCH ON MODULAR MODELING AND CONTROL STRATEGY OF HETEROGENEOUS ENERGY SYSTEM

胡帆 1董文杰 2周小光 1吴任博 1毕燕雷2
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作者信息

  • 1. 广东电网有限责任公司广州供电局,广州 510620
  • 2. 东方电子股份有限公司,烟台 264000
  • 折叠

摘要

基于模块化思想提出一种新型异构能源系统建模方法,并设计了相应控制策略.其中,综合考虑光伏发电、热电联产、储能技术,以混合逻辑动态系统表示方法建立异构能源系统模型;针对投资、运行和维护成本优化,构建模型预测控制策略.该文所提策略中考虑了异构能源系统与上游能源系统之间的能源交易、系统非线性或混合系统行为.通过将所提策略与传统控制策略进行比较,分析不同用户行为、不断变化的气候条件和预测误差对节能潜力的影响.算例分析结果表明:所提方法可有效利用可变的清洁能源和储能技术来优化异构能源系统的运营,每年可节省3%~6%的成本.

Abstract

The sources of energy supply and demand within heterogeneous energy systems are complex,so the conventional methods cannot build a generic model connecting different energy networks.To this end,a novel modeling approach for heterogeneous energy systems is proposed based on the modularity idea,and a corresponding control strategy is designed for them.Among them,a heterogeneous energy system model is established with a hybrid logic dynamic system representation considering photovoltaic power generation,cogeneration and energy storage technologies;a model predictive control strategy is constructed for optimizing investment,operation and maintenance cost.In the proposed strategy,energy trading,system nonlinearity or hybrid system behavior between heterogeneous energy systems and upstream energy systems are considered.The impacts of different user behaviors,changing climate conditions and prediction errors on the energy saving potential are analyzed by comparing it with traditional control strategies.The results of the algorithm analysis show that the proposed approach can effectively utilize variable clean energy and energy storage technologies to optimize the operation of heterogeneous energy systems,with annual cost savings of 3% to 6% .

关键词

可再生能源/优化调度/电池储能/异构能源系统/成本优化

Key words

renewable energy/optimal scheduling/battery energy storage/heterogeneous energy system/cost optimization

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基金项目

广东省重点领域研发计划(2020B010166004)

国家重点研发计划"智能电网技术与装备"重点专项(2016YFB0901300)

出版年

2024
太阳能学报
中国可再生能源学会

太阳能学报

CSTPCD北大核心
影响因子:0.392
ISSN:0254-0096
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