新型数字智能电网调度中台的电能交易协调决策模块研究

卢建刚; 余志文; 李世明; 郭文鑫; 谭慧娟; 戴月

卢建刚,余志文,李世明,郭文鑫,谭慧娟,戴月.新型数字智能电网调度中台的电能交易协调决策模块研究[J].电测与仪表,2025,62(9):125-133.
LU Jiangang,YU Zhiwen,LI Shiming,GUO Wenxin,TAN Huijuan,DAI Yue.Research on power transaction coordination decision-making module of novel digital smart grid dispatching center[J].Electrical Measurement & Instrumentation,2025,62(9):125-133.

新型数字智能电网调度中台的电能交易协调决策模块研究

Research on power transaction coordination decision-making module of novel digital smart grid dispatching center

DOI：10.19753/j.issn1001-1390.2025.09.014

中文关键词: 调度中台交易协调价格响应

英文关键词:dispatching middle office, transaction coordination, price response

基金项目:南方电网公司科技项目资助：数字能源生态环境下电网调度运行中台架构设计及关键技术研究（036000KK52200012/GDKJXM20200487）

作者中文名	作者英文名	单位
卢建刚	LU Jiangang	广东电网有限责任公司电力调度控制中心
余志文	YU Zhiwen	广东电网有限责任公司电力调度控制中心
李世明	LI Shiming	广东电网有限责任公司电力调度控制中心
郭文鑫	GUO Wenxin	广东电网有限责任公司电力调度控制中心
谭慧娟	TAN Huijuan	广东电网有限责任公司电力调度控制中心
戴月	DAI Yue	广东电网有限责任公司电力调度控制中心

摘要点击次数: 76

中文摘要:

电能交易协调是调度运行中台架构设计的关键环节，而分布式能源和灵活电力消费者的增加使网间电力交易协调成为一个具有挑战性的问题。现有的方法应用部分分解的策略来减轻这个复杂问题的计算负担，但依赖于专有信息或实时通信设备。为了克服这些缺点，文中提出了一种协调方法，对连接电网的节点价格和电力输入进行一系列观察，并记录信息。在遵守电网约束情况下，利用统计工具，分析电网的价格响应，并最大化社会效益。利用系统中资源信息使响应曲线适应影响电力系统运行的外部条件的变化。将得到的响应近似为一个递减阶梯函数，该函数可用于电力市场竞价。将所提出的三种策略与理想的基准方法进行对比，测试结果表明，所提出的方法产生的运营决策非常接近于基准方法获得的运营决策，且极大提升了求解速度，验证了所提出方法的有效性。

英文摘要:

Power transaction coordination is a key link in the architecture design of dispatching operation platform, and the increase of distributed energy and flexible power consumers makes the inter network power transaction coordination a challenging problem. The existing methods apply partial decomposition strategy to reduce the computational burden of this complex problem, but rely on proprietary information or real-time communication devices. In order to overcome these shortcomings, a coordination method is proposed in this paper. A series of observations are made on the node price and power input of the connected power grid, and information is recorded.In compliance with the grid constraints, statistical tools are used to analyze the price response of the grid and maximize social benefits. In addition, the response curve is adapted to the changes of the external conditions that affect the operation of the power system by using the resource information in the system. The response obtained is approximated to a decreasing step function, which can be used for power market bidding. The proposed three strategies are compared with the ideal benchmark method. The test results show that the operational decisions generated by the proposed method are very close to the operational decisions obtained by the benchmark method, and the speed of solution is greatly improved, which verifies the effectiveness of the proposed method.

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