计及频率电压稳定性约束的电力系统多层级储能协同优化运行策略

doi:10.19595/j.cnki.1000-6753.tces.231727

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Abstract

The large-scale integration of wind power brings unprecedented challenges to the power system. On the one hand, the wind power characteristics of fluctuation and anti-peak regulation increase the burden of peak regulation and wind power consumption on the system. On the other hand, a high proportion of wind power occupies the output space of traditional synchronous generators, weakening the system's voltage support, inertial response, and primary frequency regulation (PFR) capabilities, increasing the risk of instability in the system's steady-state voltage stability (SSVS) and small-disturbance frequency stability (SDFS).
To solve the above problems, we can start from two perspectives: resources and strategies. At the resource level, setting up appropriate power-type and energy-type energy storage systems on the wind farm side and power system side respectively can alleviate the pressure of system regulation. At the strategy level, SSVS and SDFS constraints are taken into account in the conventional day-ahead dispatch strategy, which can ensure that the system operation scheme is far away from critical stability and instability and has sufficient stability margin. A dual approach can effectively ensure the safe and stable economic operation of the system. Based on the above ideas, a multi-level energy storage collaborative optimization operation strategy for power systems considering frequency and voltage stability constraints is proposed. Firstly, a energy storage collaborative optimization operation framework for wind farm level and power system level is designed. Based on this, the wind farm level and power system level dispatching models are constructed, incorporating linearized frequency and voltage stability constraints into the latter. Secondly, The master & sub problem decomposition iteration method is used to solve the power system level dispatching model with mixed integer second-order cone characteristics, avoiding slow convergence or memory overflow problems caused by direct solving. Finally, the case studies were conducted to verify the effectiveness of the proposed method.
The following conclusions can be drawn from the case studies analysis: (1) The proposed SSVS constraints construction method transforms the limitation on the active power margin of regional loads into the system flow solvable verification problem under margin boundary conditions, avoiding solving the max-problem of the large-scale system flow solvable critical load in the min-problem of the system level dispatch, and improving the efficiency of solving the system level dispatch model. (2) The proposed SDFS constraints construction method takes into account the frequency regulation dead zone and power limiting of each unit. The initial frequency change rate and maximum frequency difference are calculated using difference equations, and the steady-state frequency difference is calculated using the final value theorem. The linearization of SDFS constraints is achieved, and the accuracy of the proposed frequency indexes calculation method is verified through Simulink simulation. (3) The proposed multi-level energy storage collaborative optimization operation strategy for power systems considering frequency and voltage stability constraints can not only fully leverage the rapid adjustment effect of the wind farm self-owned battery energy storage, effectively suppress the wind farm output fluctuations and improve the wind farm PFR support capacity, but also fully leverage the PFR and large-scale energy transfer effect of the pumped storage, achieving a comprehensive balance between system operation economy as well as frequency and voltage stability.

Key words： Steady-state voltage stability small-disturbance frequency stability multi-level energy storage master & sub problem decomposition iteration optimal dispatch

Received: 17 October 2023

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TM73

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	Wang Tingtao
	Miao Shihong
	Yao Fuxing
	He Ligang
	Wang Jiaxu
	Tan Haoyu

Cite this article:

Wang Tingtao,Miao Shihong,Yao Fuxing等. Multi-Level Energy Storage Collaborative Optimization Operation Strategy for Power Systems Considering Frequency and Voltage Stability Constraints[J]. Transactions of China Electrotechnical Society, 2024, 39(21): 6759-6777.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.231727 OR https://dgjsxb.ces-transaction.com/EN/Y2024/V39/I21/6759

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