Operation Risk Probability Assessment of Power System Considering the Stochasticity of Renewable Energy

Siyang Liu, Baoju Li, Yong Sun
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Abstract

The power system is the most important carrier of energy production, transmission, and consumption. Its transformation and upgrading are vital to the realization of China’s "Carbon Emission Peak and Carbon Neutrality" goal. As the proportion of renewable energy represented by wind power/photovoltaic power in the system increasing continuously, the risk of its strong stochasticity brought to system dispatch has become prominent. In order to quantify the potential risks in the real-time operation of the power system, based on the traditional power system risk assessment theory, this paper proposes an operation risk probability assessment method that considers the uncertainty of renewable energy, and establishes real-time operation risk evaluation indicators including system reserve, frequency and power of transmission line. The practicality of proposed method is verified with the actual operating data of Jilin province. This paper provides theoretical and technical support for operation risk decision-making, operation risk management for the new power system with renewable energy as the main body.
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考虑可再生能源随机性的电力系统运行风险概率评估
电力系统是能源生产、传输和消费的最重要载体。其转型升级对实现中国“碳排放峰值和碳中和”目标至关重要。随着以风电/光伏发电为代表的可再生能源在系统中所占比重的不断增加,其强随机性给系统调度带来的风险日益突出。为了量化电力系统实时运行中的潜在风险,本文在传统电力系统风险评估理论的基础上,提出了考虑可再生能源不确定性的运行风险概率评估方法,建立了包括系统储备、频率、输电线路功率在内的实时运行风险评估指标。用吉林省的实际运行数据验证了该方法的实用性。本文为以可再生能源为主体的新型电力系统运行风险决策、运行风险管理提供理论和技术支持。
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