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| Robust Real-Time Dispatch Considering the Injection Shift Factor Estimation Errors |
| Zhai Hefeng1, Yang Ming1, Wang Dong2, Cheng Fenglu3, Liu Daowei4 |
1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan 250061 China;
2. State Grid Qingdao Power Supply Company Qingdao 266002 China;
3. State Grid Shandong Electric Power Maintenance Company Jinan 250000 China;
4. China Electric Power Research Institute Beijing 100192 China |
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Abstract Injection shift factors (ISFs) are important linear sensitivity factors in power grid operation analysis. They are commonly used in the security verification of branch power flow with a certain power generation dispatch plan. The estimation errors of ISFs easily result in the deviation of branch power flow calculation, and further threaten the power grid operation security. Accordingly, a robust real-time dispatching method considering the estimation errors of ISFs is proposed in this paper. The probabilistic ISF estimation model based on Bayesian linear regression is firstly presented using real-time measurement data. Then the ISF error intervals are acquired by solving the estimation model. Aiming to minimize the system operating cost, a real-time dispatching model is built, taken into account the nodal power injection disturbance as well as the ISF estimation errors. The solving algorithm of the model is provided based on the Soyster robust optimization method. Calculation tests on simple 6-bus system, the IEEE 118-bus system and the IEEE 300-bus system validate the proposed approach.
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Received: 30 October 2016
Published: 01 August 2017
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2017, Vol. 32 
