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| Medium- and Long-Term Double-Layer Nested Optimal Scheduling of Hydro-PV Complementary System Considering Short-Term Power Fluctuation and Curtailment Risk |
| Xianyu Hucheng1, Huang Xianfeng1, Zhang Yanqing2, Li Xu3, Xu Chang4 |
1. College of Water Conservancy and Hydropower Engineering Hohai University Nanjing 210098 China;
2. Power China Guiyang Engineering Corporation Limited Guiyang 550081 China;
3. Huaneng Lancang River Hydropower Inc. Kunming 650214 China;
4. College of Energy and Electrical Engineering Hohai University Nanjing 210098 China |
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Abstract The hydropower (Hydro) and photovoltaic (PV) power complementary system is unified operation through the control center. It contributes to promote the integration of renewable energy and power system. However, the risk of energy loss and transmission power fluctuation will be induced when the Hydro-PV power exceeds the regulation range of the power system. Traditional medium- and long-term scheduling model of Hydro-PV complementary system does not consider short-term Hydro regulation ability and PV random fluctuation. Therefore, the operating rules formulated by such model are difficult to effectively guarantee stable operation of the power system under a state of new energy high proportion penetration. In addition, it’s not conducive to coordinate long-term operation benefits and short-term power grid connection risks. To address these issues, this paper proposes a medium- and long-term double-layer nested scheduling model and solution method considering short-term power fluctuation and curtailment risk. It aims to optimize the decision of medium- and long-term scheduling and guarantee the quality of short-term power generation.
Firstly, a complementary relationship between PV fluctuation and Hydro regulation ability was proposed form the perspective of power shape and quantity. Secondly, the point to improve the quality of grid connection was to reduce the risk of power fluctuation and curtailment. And on this basis, a short-term Hydro-PV complementation strategy based on the fluctuation parameters (△S,△R) and fluctuation damping method was proposed. This way could optimize the short-term generation plan and identify the benefit (power accommodation) and risk (power fluctuation and curtailment) information. Thirdly, a two-layer nested scheduling model and solution method coupling the outer monthly reservoir capacity decision search with the inner short-term Hydro-PV complementary strategy was developed. Then, a Hydro-PV complementary vector relation and particle swarm optimization (PSO) were introduced to improve the model solving efficiency. Finally, the decision boundary was determined by Hydro-PV scenarios simulation and fluctuation parameters selection, then the risk and benefit scheme set and scheduling decision platform were established by combining the objective preference.
The results show that energy loss risk control can avoid power curtailment during operation cycle. Meanwhile, the fluctuation risk control improves the short-term power grid-connected quality. When △S=0, the PV power is fully compensated and then the system power meets the transmission form of subsection stability, which can effectively reduce the operating pressure of the power system. The decision platform shows that the benefit of storage capacity rising will be gradually damaged with the increase of risk control requirements. In this process, the increase of fluctuation parameters can improve the power grid-connected quality at the expense of power accommodation benefit. This indicates that the accuracy of scenarios prediction and the rationality of fluctuation parameters selection are conducive to coordinate the relationship between benefit optimization and risk aversion.
The following conclusions can be drawn from the simulation analysis: (1) The proposed Hydro-PV complementary relationship reveals the effect of fluctuation risk control is positively correlated with the balance power that Hydro can call, but if the balance power exceeds the capacity boundary of transmission channel, the risk of power abandonment will be caused. (2) The proposed short-term Hydro-PV complementary strategy can guarantee the complementary system power as close as possible to the transmission form of subsection stability. (3) The proposed double-layer nested optimization framework can effectively regulate risk and benefit elements at different time scales. It provides a decision platform for Hydro-PV complementary system, which can support administrator to select a reasonable scheduling scheme quickly, and then fully coordinate the energy utilization efficiency with the power grid connection process.
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Received: 23 June 2022
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2023, Vol. 38 
