| 引用本文: | 姚璐,赵维兴,李舒佳,肖孝天,谢敏,宋尧.基于目标级联分析法的分布式主体可交易能源模型[J].电力自动化设备,2021,41(9): |
| YAO Lu,ZHAO Weixing,LI Shujia,XIAO Xiaotian,XIE Min,SONG Yao.Transactive energy model of distributed agents based on analytical target cascading[J].Electric Power Automation Equipment,2021,41(9): |
|
| 摘要: |
| 可交易能源是一种价格引导交易和优化运行的机制，兼顾经济交易与系统优化运行，属于学科融合范畴的新概念。在分布式能源稳步增长和分布式发电市场化的背景下，面向分布式主体的可交易能源机制极具研究前景。为此，设计具体的可交易能源架构，实现分布式主体物理元素建模。随后，用目标级联分析法(ATC)理论实现经济交易与系统优化运行的结合，为ATC理论在系统优化运行中提供经济学视角。最后，通过算例分析验证了所提模型能够降低与电网的能量互动的同时兼顾主体运营收益，且能够提供多元的交易策略以及交易方式，形成多种利益分配结果。 |
| 关键词: 分布式主体 可交易能源 目标级联分析法 学科融合 |
| DOI：10.16081/j.epae.202108028 |
| 分类号:TK01;TM73;F123.9 |
| 基金项目:贵州电网有限责任公司科技项目(061000KK52180003)；中央高校基本科研业务费重大产学研合作扶持专项(x2dlD2201280) |
|
| Transactive energy model of distributed agents based on analytical target cascading |
|
YAO Lu1, ZHAO Weixing2, LI Shujia3, XIAO Xiaotian1, XIE Min3, SONG Yao1
|
|
1.Guian Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Guiyang 550003, China;2.Dispatching and Control Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550003, China;3.School of Electric Power, South China University of Technology, Guangzhou 510641, China
|
| Abstract: |
| Transactive energy represents a mechanism to guide price-based transactions and power system optimal operations. The transactive energy takes both economic transactions and optimal operations into account, and is a new concept of discipline integration. Under the background of stable growth of distributed energy and gradual marketization of distributed generation, the transactive energy mechanism for distributed agents exhibits promising prospects. Detailed transactive energy architecture and physical element models of distributed agents are established. Then, the ATC(Analytical Target Cascading) theory is adopted to achieve a balance between economic transactions and system operations. This provides an economic perspective for the ATC theory that is applied in power system operations. Finally, numerical results verify that the proposed model reduces the energy interaction with the power grid while taking the operating benefits of each distributed agent into account. Additionally, the proposed model provides diversified trading strategies and trading approaches, and produces a variety of benefit allocation results. |
| Key words: distributed agents transactive energy analytical target cascading disciplinary integration |
