The reliability and operation test system of power grid with large-scale renewable integration

Wang, Jianxue; Wei, Jingdong; Zhu, Yuchao; Wang, Xiuli

doi:10.17775/cseejpes.2017.01300

Cited by 35 publications

(15 citation statements)

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“…Due to the implementation of the 'carbon peak, carbon neutral' target plan, there has been a significant increase in the promotion and implementation of new energy generation, which are known for their sustainable and clean features [1].…”

Section: Reasonsmentioning

confidence: 99%

Research on adaptive optimal control strategy of virtual synchronous generator inertia and damping parameters

Shi,

Sun,

Han

et al. 2023

IET Power Electronics

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As the ratio of newly installed power generation utilizing power electronic converters increases, it results in a decrease in the overall inertia and damping of the power system, as well as the decrease in its ability to resist interference. Aiming to address this issue, the authors propose an adaptive optimal control approach for the parameter in the virtual synchronous generator (VSG). This strategy considers the power angle curve and analyzes the principles of inertia and damping within the oscillation period and its range of values. By coordinating the values of parameters, it achieves the optimization of these parameters. At the same time, in order to take into account the demand for fast regulation response under normal operation control conditions and the demand for synchronization support under disturbance fault conditions, a multi‐mode switching control strategy including virtual synchronization control and conventional PQ control is further proposed. Based on MATLAB/Simulink software, the strategies mentioned above have been proven through simulation. The findings testify the proposed method can significantly enhance the regulation response characteristics of the VSG by optimizing its parameters. Additionally, it enables smooth switching of the control mode independently, based on the specific requirements of different control scenarios. This approach fully leverages the virtual synchronous support and fast regulation characteristics of the power electronic converter, and has practical engineering value.

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Section: Reasonsmentioning

confidence: 99%

Research on adaptive optimal control strategy of virtual synchronous generator inertia and damping parameters

Shi,

Sun,

Han

et al. 2023

IET Power Electronics

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“…The optimal ESS configuration model for REPs is verified on XJTU-ROTS2017 [34]. The electricity price information adopted in the model is derived from the historical data of the power trading centre in a northern province of China.…”

Section: Case Studiesmentioning

confidence: 99%

Optimal energy storage configuration for joint energy‐regulation market participating renewable energy plants with excess revenue recovery mechanism

Ren

Deng²,

Guo

et al. 2023

IET Energy Syst Integration

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The fluctuation and stochastic characteristics of renewable energy resources challenge the secure system operation and also impose significant financial risks for the market participating renewable energy plants (REPs). Energy storage systems (ESSs) can serve as effective tools in enhancing the operating flexibility of REPs, thus improving their profitability while making them grid‐friendly. However, current studies focussing on the energy market participation of ESS‐equipped REPs neglect ESSs' frequency regulation performance. Moreover, power output deviation and power curtailment of REPs bring difficulties to the integration of renewable energy. To address these challenges, an optimal ESS configuration method for REPs participating in the joint energy‐regulation market is proposed first. A method considering constraints on frequency regulation performance is applied. Then, to reduce power output deviation and power curtailment of REPs, an incentive mechanism based on the excess revenue recovery is implemented to induce the grid‐friendly power outputs of REPs. Numerical analysis on XJTU‐ROTS2017 systems demonstrates that the optimal ESS configuration results obtained from the proposed method could promote the profitability of ESS‐equipped REPs. The results also verify the effectiveness of the excess revenue recovery mechanism in facilitating the grid‐friendly operation behaviours of the ESS‐equipped REPs.

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“…This system consists of 44 buses, 63 lines, 42 conventional units (including coal-fired units and hydro units), and 9 renewable energy units. The detailed data of this system can be freely accessed in [22].…”

Section: A Rots2017mentioning

confidence: 99%

A Fast Calculation Method for Long-term Security-constrained Unit Commitment of Large-scale Power Systems with Renewable Energy

Yang

Wang

Yin

et al. 2022

Journal of Modern Power Systems and Clean Energy

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With the increase in the penetration rate of renewable energy, the planning and operation of power systems will face huge challenges. To ensure the sufficient utilization of renewable energy, the reasonable arrangement for the long-term power generation plan has become more crucial. Security-constrained unit commitment (SCUC) is a critical technical means to optimize the long-term power generation plan. However, the plentiful power sources and the complex grid structure in largescale power systems will bring great difficulties to long-term SCUC. In this paper, we propose a fast calculation method for long-term SCUC of large-scale power systems with renewable energy. First, a method for unit status reduction based on temporal decomposition is proposed, which will reduce plenty of binary variables and intertemporal constraints in SCUC. Then, an efficient redundant constraint identification (RCI) method is developed to reduce the number of network constraints. Furthermore, a joint accelerated calculation framework for status reduction and RCI is formed, which can reduce the complexity of long-term SCUC while ensuring a high-precision feasible solution. In case studies, numerical results based on two test systems ROTS2017 and NREL-118 are analyzed, which verify the effectiveness and scalability of the proposed calculation method.Qingtao Li received the B.S. degree in electrical engineering from Xi'an Jiaotong University, Xi'an, China, in 2016, where he is currently pursuing the Ph.D. degree. His research interests include generation expansion planning and scheduling, and market-based power system planning.

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The reliability and operation test system of power grid with large-scale renewable integration

Cited by 35 publications

References 0 publications

Research on adaptive optimal control strategy of virtual synchronous generator inertia and damping parameters

Research on adaptive optimal control strategy of virtual synchronous generator inertia and damping parameters

Optimal energy storage configuration for joint energy‐regulation market participating renewable energy plants with excess revenue recovery mechanism

A Fast Calculation Method for Long-term Security-constrained Unit Commitment of Large-scale Power Systems with Renewable Energy

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