Large scale wind power integration and demand response has brought uncertainty to both source and load side of powersystem which brings new challenges to the evaluation of available transfer capability (ATC) of power...
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This paper addresses the shared energy storage siting and sizing problem, considering grid constraints based on scenario generation techniques. In the context of high penetration of renewable energy, the powersystem ...
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ISBN:
(数字)9798350349030
ISBN:
(纸本)9798350349047
This paper addresses the shared energy storage siting and sizing problem, considering grid constraints based on scenario generation techniques. In the context of high penetration of renewable energy, the powersystem faces practical challenges such as increased uncertainty and scarcity of flexible resources. To tackle these issues, a two-layer optimization model is proposed in this study. It utilizes scenario generation techniques to obtain possible scenarios for renewable energy and load outputs, and incorporates grid constraints for economic dispatch. Through iterative optimization, an optimal shared energy storage siting and sizing solution that meets the requirements of the power grid is obtained. Additionally, the paper discusses the impact on the accommodation capacity of renewable energy and proposes countermeasures in system economic dispatch. However, there are still limitations in uncertainty estimation, energy storage planning, and investment cost calculations in this paper. Furthermore, further enhancement is needed in terms of quantification theories supporting the economic evaluation of shared energy storage siting and sizing. Overall, this research aims to provide an optimization approach for the shared energy storage siting and sizing problem, incorporating scenario generation techniques and grid constraints, to promote stable operation and economic development of powersystems with high penetration of renewable energy.
DC grids utilizing MMC-HVDC technology have been extensively researched and implemented in various locations, demonstrating substantial benefits in terms of system flexibility and renewable energy integration. Due to ...
ISBN:
(数字)9781837242900
DC grids utilizing MMC-HVDC technology have been extensively researched and implemented in various locations, demonstrating substantial benefits in terms of system flexibility and renewable energy integration. Due to the rapid escalation of fault currents, DC line protections must quickly identify and isolate faults, typically within milliseconds, leading to the adoption of non-unit methods as the primary protection. This paper introduces a non-unit protection scheme that employs transient voltage at both the line-side and converter-side of the supplemental inductor. Based on a reduced model focusing on the boundary of a DC line, the transient process of the fault is examined using traveling wave theory, and the voltage characteristics at both ends of the supplemental inductor are scrutinized. The theoretical analysis also brings out a practical method for threshold-value calculation. Then, a protection criterion, based on wavelet analysis of the transient voltage, is established. This proposed method is capable of fulfilling the requirements for speed, selectivity and fault resistance and has been verified through PSCAD/EMTDC simulations.
Aiming to address the stability challenges in powersystems caused by the volatility and uncertainty of photovoltaic (PV) power generation, an optimization strategy for PV-storage systems incorporating demand response...
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As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for for...
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ISBN:
(数字)9798350366945
ISBN:
(纸本)9798350366952
As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness.
The current wind power prediction horizon extends up to 7 days, and the research on power prediction for the 8 to 15 day-ahead is still lacking. However, with the increasing proportion of renewable energy in novel pow...
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To address challenges in feature extraction, such as difficulty in accurately extracting valuable information and low recognition accuracy during pattern recognition, this paper proposes a novel method for power trans...
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An approach to smoothing the fluctuations of largescale wind power is investigated using vehicle-to-grid(V2G)***,an energy management and optimization system is designed and *** using the wavelet packet decomposition ...
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An approach to smoothing the fluctuations of largescale wind power is investigated using vehicle-to-grid(V2G)***,an energy management and optimization system is designed and *** using the wavelet packet decomposition method,the target grid-connected wind power,the required electric vehicle(EV)power,and supercapacitor power are *** energy management model for EVs is then developed by introducing a knapsack problem that can evaluate the needs of an EV ***,an optimized dispatch strategy for EVs and wind power is developed by using a dynamic programming method.A case study demonstrates that the energy management and optimization method for V2G systems achieves noticeable performance improvements over benchmark techniques.
The penetration of a high percentage of renewable energy poses a challenge to the safe and stable operation of the powersystem, frequent wind power low output events have seriously affected power dispatch and power s...
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The accurate prediction of wind power provides a guarantee for the safety and stability of the powersystem and the power market trading. The existing wind power prediction methods mainly focus on the depth of the mod...
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