计算机仿真2024,Vol.41Issue(1) :86-90,210.

计及需求响应的主动配电网低碳优化调度

Low Carbon Optimal Scheduling of Active Distribution Network with Demand Response

鲁占军 希望·阿不都瓦依提 王力 裴国斐
计算机仿真2024,Vol.41Issue(1) :86-90,210.

计及需求响应的主动配电网低碳优化调度

Low Carbon Optimal Scheduling of Active Distribution Network with Demand Response

鲁占军 1希望·阿不都瓦依提 1王力 1裴国斐1
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作者信息

  • 1. 新疆大学电气工程学院,新疆 乌鲁木齐 830047
  • 折叠

摘要

为解决主动配电网低碳运行,提出一种以负荷侧碳交易成本最小的需求响应主动配电网两阶段低碳优化调度模型.首先建立主动配电网第一阶段日前经济优化调度模型;其次,通过碳流理论将发电侧碳排放归算至负荷侧计算并使负荷侧直接参与碳交易;再次,建立以负荷侧碳交易成本最小的第二阶段需求响应低碳优化调度模型;然后,通过优化后的负荷重新求解第一阶段日前经济优化调度模型.最后,基于改进IEEE-33 节点系统中进行算例分析,对比需求响应前后主动配电网运行调度结果.仿真研究结果表明,所提出的模型及调度策略降低了发电成本、系统碳排放量和负荷侧碳交易成本,证明了上述模型及调度策略的可行性.

Abstract

To solve the active distribution network low-carbon operation.This paper proposes a two-stage low-carbon optimal scheduling model for the demand response active distribution network with the minimum carbon trans-action cost on the load side.Firstly,the day-ahead economic optimal dispatching model of the first stage of the active distribution network was established.Secondly,the carbon emission from the power generation side was calculated to the load side through the carbon flow theory and the load side was directly involved in carbon trading.Thirdly,a sec-ond-stage demand response low-carbon optimal scheduling model with the lowest load-side carbon transaction cost was established.Then,the day-ahead economic optimal scheduling model of the first stage was solved again through the optimized load.Finally,an example was analyzed based on the improved IEEE-33 node system to compare the operation and scheduling results of the active distribution network before and after demand response.Simulation results show that the proposed model and scheduling strategy can reduce power generation costs,system carbon emis-sions and load-side carbon transaction costs,which proves the feasibility of the model and scheduling strategy.

关键词

需求响应/主动配电网/碳减排/碳流理论/碳交易

Key words

Emand response/Active distribution network/Carbon reduction/Carbon flow theory/Carbon trading

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基金项目

国家自然科学基金(51367016)

新疆重大科技专项项目(2016A02004-4)

出版年

2024
计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
参考文献量19
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