微型电脑应用2024,Vol.40Issue(7) :48-51.

市场环境下含多类型物理实体的优化调度模型研究

Research on Optimal Scheduling Model with Multiple Types of Physical Entities in Market Environment

袁少伟 李宇翔 张怀德 朱正印 朱庆
微型电脑应用2024,Vol.40Issue(7) :48-51.

市场环境下含多类型物理实体的优化调度模型研究

Research on Optimal Scheduling Model with Multiple Types of Physical Entities in Market Environment

袁少伟 1李宇翔 1张怀德 1朱正印 1朱庆2
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作者信息

  • 1. 国网新疆电力有限公司乌鲁木齐供电公司,新疆,乌鲁木齐 830000
  • 2. 南京南瑞信息通信科技有限公司,江苏,南京 210000
  • 折叠

摘要

系统运行的安全稳定和能源供应的低碳清洁已成为现今能源发展的主流方向,进一步提高系统运行的稳定性能和经济效益对能源可持续发展具有重要的意义,为此提出一种结合综合能源的需求响应(DR)策略.该策略以需求响应作为综合能源系统的重要调节调度手段,可有效地增强系统运行的稳定性、提高电力系统的经济效益.利用需求响应模型中价格和激励策略,考虑众多需求中的不确定因素,以综合能源系统的优化调度运行成本为优化目标,构建市场环境下含多类型物理实体的优化调度模型.采用一个典型案例进行研究,结果表明,该策略可有效实现削峰填谷,提高了系统运行的稳定程度,较为显著地降低了综合能源系统的经济成本.

Abstract

The security and stability of system operation and the low-carbon and clean energy supply have become the main-stream direction of energy development.Further improvement of stable performance and economic benefits of system operation is of great significance to the implementation of sustainable energy development.Therefore,a demand response(DR)strategy combining integrated energy is proposed.As an important regulation and dispatching method of integrated energy system,the demand response can effectively enhance the stability of system operation and improve the economic benefits of power system.Using the price and incentive strategy in DR model,considering the uncertain factors in many demands,and taking the opera-tion cost of the optimal scheduling of the integrated energy system as the optimization objective,the optimal scheduling model with multiple types of physical entities in market environment is constructed.Using a typical case study,the results show that the strategy can effectively achieve peak cutting and valley filling,improve the stability of system operation,and significantly reduce the economic cost of the integrated energy system.

关键词

需求响应/综合能源系统/不确定性/优化调度模型

Key words

demand response/integrated energy system/uncertainty/optimal scheduling model

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基金项目

国网新疆电力有限公司科技项目(SGXJWL00DKJS2200567)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
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