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基于中国连续交易机制的源网荷储多时间尺度交易仿真。

Multi-Time Scale Trading Simulation of Source Grid Load Storage Based on Continuous Trading Mechanism for China.

机构信息

College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China.

Beijing Electric Power Exchange Center, Beijing 100053, China.

出版信息

Sensors (Basel). 2022 Mar 18;22(6):2363. doi: 10.3390/s22062363.

DOI:10.3390/s22062363
PMID:35336533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8950523/
Abstract

The proportion of new energy in power systems is increasing yearly. How to deal with the adverse impact of new energy output uncertainty on its participation in trading from the mechanism level is an urgent problem in China that must be solved. A source grid load storage (SGLS) continuous trading mechanism and a multi-time scale trading simulation method are proposed which meet the needs of Chinese new energy consumption and satisfies the trading needs of Chinese power market players. Firstly, the connection mechanism of mid-long term, day-ahead, and intra-day SGLS interactive trading is established, and the meaning and ways of continuous development are defined. Secondly, the clearing model of SGLS trading based on the continuous trading mechanism is established to provide mathematical models and strategic methods for various resources to participate in SGLS trading. Then, the multi-time scale trading simulation of SGLS based on the continuous trading mechanism is carried out to obtain the trading strategies of different trading subjects. The example results show that compared with the trading mechanism based on deviation assessment, the one-day trading cost is reduced by 4.20% and the consumption rate of new energy is increased by 6.53%. It can be seen that the mid-long term-day-ahead-day SGLS interactive trading connection mechanism has advantages in reducing trading costs and improving the consumption rate of new energy. It can flexibly deal with the trading scenario of domestic new energy consumption and new energy reverse peak shaving, which has an effect on the adverse impact of trading and operation deviation caused by source load uncertainty on trading.

摘要

电力系统中的新能源比例逐年增加。如何从机制层面上应对新能源出力不确定性对其参与交易的不利影响，是中国亟待解决的问题。提出了一种源网荷储（SGLS）连续交易机制和一种多时间尺度交易模拟方法，既满足了中国新能源消纳的需要，又满足了中国电力市场参与者的交易需求。首先，建立了中-长期、日前和日内 SGLS 互动交易的连接机制，并定义了连续发展的意义和方式。其次，建立了基于连续交易机制的 SGLS 交易清算模型，为各种资源参与 SGLS 交易提供了数学模型和战略方法。然后，基于连续交易机制对 SGLS 进行了多时间尺度交易模拟，以获得不同交易主体的交易策略。实例结果表明，与基于偏差评估的交易机制相比，一天的交易成本降低了 4.20%，新能源的消纳率提高了 6.53%。可以看出，中-长期-日前-日内 SGLS 互动交易连接机制在降低交易成本和提高新能源消纳率方面具有优势。它可以灵活应对国内新能源消纳和新能源反调峰的交易场景，对源荷不确定性对交易和运行偏差造成的交易不利影响具有一定的效果。

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