Rapid Optimization for Emergent Frequency Control Strategy with the Power Regulation of Renewable Energy during the Loss of DC Connection
Ke Deping1, Feng Shuaishuai1, Liu Fusuo2, Chang Haijun2, Sun Yuanzhang1
1. School of Electrical and Automation Wuhan University Wuhan 430072 China; 2. Nari Group Corporation State Grid Electric Power Research Institute Nanjing 211006 China
Abstract:In a power system which has highly penetrated renewable energy generators and high-voltage dc lines transmitting power to other systems, fast and continuous adjustment of the large renewable energy bases’ power outputs should be an economic replacement of the expensive countermeasure of tripping conventional generating units, for the emergent frequency control when the fault-caused loss of dc connection suddenly occurs. Therefore, an optimization model for the emergent frequency control strategy to ensure the frequency safety of the dc sending-end power system and lowest control cost, is proposed in this paper based on cooperating the renewable energy plants and conventional generators. Generally, it is very difficult to solve this optimization because it is nonlinear and with differential equation constraints. Thus, a systematic method which can convert the model to a mixed integer linear programming (MILP) problem is proposed so that it can be efficiently solved by dedicated powerful commercial software. The simulation results based on the model of a province-sized power system in North-west China prove the effectiveness of the proposed optimization model and the efficiency of the solving process.
柯德平, 冯帅帅, 刘福锁, 常海军, 孙元章. 新能源发电调控参与的送端电网直流闭锁紧急频率控制策略快速优化[J]. 电工技术学报, 2022, 37(5): 1204-1218.
Ke Deping, Feng Shuaishuai, Liu Fusuo, Chang Haijun, Sun Yuanzhang. Rapid Optimization for Emergent Frequency Control Strategy with the Power Regulation of Renewable Energy during the Loss of DC Connection. Transactions of China Electrotechnical Society, 2022, 37(5): 1204-1218.
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