A distributed AGC power sharing strategy considering BESS participation factors

Zhang, Shengqi; Yu, Qin; Liu, Heyu; Mishra, Yateendra; Wang, Fei

doi:10.1016/j.epsr.2023.109117

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…The current research on online monitoring of the CVT metering error compares the secondary output voltage of the CVT and a standard voltage transformer by introducing a standard voltage transformer and calculating the online monitoring value of the metering error of the CVT [4]. However, the online monitoring system can only obtain the current measurement error situation and cannot predict the subsequent development trend of the CVT measurement error, which brings difficulties to the accurate measurement and operation and maintenance early warning of the electric energy measurement system.…”

Section: Introductionmentioning

confidence: 99%

Error prediction of a capacitor voltage transformer using dilated causal convolution and LSTM

Wang,

Dai,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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To timely and accurately complete the error prediction of capacitor voltage transformers, this paper proposes an error prediction algorithm for capacitor voltage transformers that combines dilated causal convolution and LSTM. The algorithm is divided into two parts: one part updates the state of the input sequence using LSTM, while the other part extracts features through dilated causal convolution, maintaining data causality about the original sequence. Finally, the outputs of these two parts are combined to make the obtained sequence feature information more accurate and enriched. Experiments show that the MSE between the error prediction results obtained by this method and the actual error samples of capacitor voltage transformers is only 0.0003, which can accurately and efficiently complete the error prediction of capacitor voltage transformers.

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Section: Introductionmentioning

confidence: 99%

Error prediction of a capacitor voltage transformer using dilated causal convolution and LSTM

Wang,

Dai,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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“…The access to large-scale distributed power sources has gradually transformed the traditional distribution network into a power electronic distribution network powered by multiple energy types, and the signal composition and operation status of the network is more complex. The continuous development of situational awareness technology has laid the foundation for the safe and stable operation of the distribution network, and as the core of situational awareness technology, state estimation is an important link to maintain the safe and stable operation of the distribution networks [2].…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Distribution Network Wideband Measurement Unit Considering Wideband Measurement

Qin¹,

Wang²,

Dong

et al. 2023

J. Phys.: Conf. Ser.

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With the large-scale integration of distributed generation (DG) and the increase in interaction with users, a large amount of wide-band information other than power frequency has been introduced into the distribution networks. The synchronous wide-band measurement is an important means to improve the situational awareness ability of the distribution network operation, hence, its optimization configuration has received more and more attention. To achieve the full observability of the network with the least measurement devices and achieve the goal of more accurate wide-band state estimation, this paper proposes a deployment method considering the wide-band information and the topology observability. Under the premise of ensuring that the network is completely observable, by comprehensively considering the redundancy of measurement and the conditioning number of the measurement matrix as well as the attenuation characteristics of the wide-band signal, the observability of the nodes considering wide-band information is re-determined and the topology matrix is modified. Simulation and analysis are carried out in the IEEE34 node distribution network system to verify the reliability and effectiveness of the proposed method.

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“…Therefore, this paper intends to delineate the tradable electricity range of monthly market trading activities through the limited physical network information exchange between the power dispatching agency and the power trading center, and attempt to pre-position the physical constraints through prior verification to reduce excessive readjustments of the trading clearance results due to safety constraints, ensuring that the trading needs of users' contract deviation adjustments are met. Guided by economic principles, the market is established with simple clearance rules to improve trading friendliness and rule comprehensibility, allowing market participants to understand the trading rules and clearance results and make rational market participation decisions, thereby achieving a balance between market efficiency and system security operation [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Pre-transaction verification method for adapting to the continuous operation of power medium- and long-term market

Jiang,

Li,

Xie

et al. 2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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Currently, in the mid-to long-term electricity trading market in China, trading is conducted on a daily basis within the month. Given the relatively independent nature of the China Electricity Trading Center and the electricity dispatching agency, it is difficult to perform daily safety checks and achieve effective institutional cooperation. This paper analyzes the impact of mid-to long-term physical contracts on the dispatching feasible domain and proposes a model based on a safe-constrained unit combination. With the objective of maximizing the tradable electricity, the proposed method considers various constraints, including system balance, network, unit operation, and electricity consumption during specific time periods. By calculating the tradable electricity limits, the proposed method establishes the market boundary prior to the monthly trading, thereby improving the feasibility of the results.

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A distributed AGC power sharing strategy considering BESS participation factors

Cited by 5 publications

References 36 publications

Error prediction of a capacitor voltage transformer using dilated causal convolution and LSTM

Error prediction of a capacitor voltage transformer using dilated causal convolution and LSTM

Optimal Configuration of Distribution Network Wideband Measurement Unit Considering Wideband Measurement

Pre-transaction verification method for adapting to the continuous operation of power medium- and long-term market

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