In generalized Nash equilibrium(GNE)seeking problems over physical networks such as power grids,the enforcement of network constraints and time-varying environment may bring high computational *** online algorithms is...
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In generalized Nash equilibrium(GNE)seeking problems over physical networks such as power grids,the enforcement of network constraints and time-varying environment may bring high computational *** online algorithms is recognized as a promising method to cope with this challenge,where the task of computing systemstates is replaced by directly using measured values from the physical *** this paper,we propose an online distributed algorithm via measurement feedback to track the GNE in a time-varying networked resource sharing *** that some systemstates are not measurable and measurement noise always exists,a dynamic state estimator is incorporated based on a Kalman filter,rendering a closed-loop dynamics of measurement-feedback driven online *** prove that,with a fixed step size,this online algorithm converges to a neighborhood of the GNE in *** simulations validate the theoretical results.
As the construction of the new powersystem progresses, the marked increase in the penetration rate of renewable energy, the intensified coupling of multi-energy systems, the closer interconnection among regional powe...
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ISBN:
(数字)9798350375855
ISBN:
(纸本)9798350375862
As the construction of the new powersystem progresses, the marked increase in the penetration rate of renewable energy, the intensified coupling of multi-energy systems, the closer interconnection among regional power grids, and the accelerated advancement of electricity market reforms have significantly heightened the complexity and uncertainty of the system. These developments pose substantial challenges to the existing dispatching technologies. In this paper, an auxiliary decision-making model through comprehensive utilization of multi-type active power adjustment resources is proposed. Firstly, the paper presents the framework of the auxiliary decision-making model. Then, the paper proceeds meticulously to establish the auxiliary decision-making model, including variables, the objective and constrains. Finally the validity of the model is verified using actual grid data from a specific region.
The current electric powersystem practices hierarchical and zonal administration to facilitate more effective monitoring of grid safety and event management. With an escalating integration of new energy sources on th...
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ISBN:
(数字)9798350356113
ISBN:
(纸本)9798350356120
The current electric powersystem practices hierarchical and zonal administration to facilitate more effective monitoring of grid safety and event management. With an escalating integration of new energy sources on the generation side, the intrinsically variable nature of these resources introduces substantial uncertainties into grid operations. Meanwhile, on the demand side, load profiles are diversifying further, significantly influenced by weather conditions, market price signals, or incentive schemes, thereby adding another layer of unpredictability. Against this context, this paper proposes an intra-day rolling optimal strategy considering whole dispatch process and multi-type adjustable measures. By synthesizing regulating resources from both the source and load sides, it undertakes a series of intra-day rolling optimization decisions across the entire dispatch workflow. This strategy aims to harmonize and optimize the allocation of various resources, thereby ensuring the secure and stable functioning of the electrical grid amidst the complexities introduced by the integration of intermittent renewables and the dynamics of diversified loads.
Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surfac...
Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surface of nano-zirconia (ZrO 2 ) particles, and the grafted nanoparticles were added to the SiR. Measurements such as breakdown strength, and conductivity were carried out to evaluate the electrical performance of SiR nanocomposites. The electrical performance measurement results indicated that the breakdown strength of the nanocomposite SiR improved while the conductance current was reduced. The trap distribution showed that the improvement of the electrical performance of the nanocomposite SiR is mainly due to the decrease of the shallow trap density or the increase of the deep trap density.
Accurate wind power forecast (WPF) is highly significant for the safe and economic operation of powersystems, and implementing error correction is a common and effective manner to further enhance the forecasting perf...
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ISBN:
(数字)9798350352290
ISBN:
(纸本)9798350352306
Accurate wind power forecast (WPF) is highly significant for the safe and economic operation of powersystems, and implementing error correction is a common and effective manner to further enhance the forecasting performance. Nonetheless, existing error correction methods fail to consider temporal relationship and may inadvertently increase the error under certain circumstances, thereby compromising the local precision of forecast. In order to address these issues, this paper proposes an error correction model based on Seq2Seq and auto encoder (AE) to improve forecasting accuracy. Firstly, the seq2seq with attention mechanism is introduced to infer the probable error sequence through learning the temporal relationship between the numerical weather prediction sequence and the actual error sequence. Secondly, the samples that the seq2seq providing a positive error inference are collected and the AE model is employed to extract the meteorological features at these moments. Finally, on the basis of the above two models, the error correction method is constructed consisting of preliminary error inference and posterior correction determination. Using operational data from Ningxia province, the proposed method is validated for its remarkable superiority based on the evaluation metrics.
Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the powersystem due to prediction...
Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the powersystem due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. And the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method.
High voltage circuit breakers (HVCBs) in the gas insulated switch gear (GIS) play an important role in the control and protection of powersystem. The mechanical faults account for the largest part of common faults in...
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ISBN:
(数字)9798350355369
ISBN:
(纸本)9798350355376
High voltage circuit breakers (HVCBs) in the gas insulated switch gear (GIS) play an important role in the control and protection of powersystem. The mechanical faults account for the largest part of common faults in HVCBs. This paper establishes the rigid-flexible model of a 550 kV GIS HVCB, and experimentally studies the behavior characteristics of the HVCB under mechanical fault situation. Firstly, the fine 3D structure model of the 550 kV GIS HVCB is built and the arc-extinguishing principle of the HVCB is analyzed. Then, the rigid model and the rigid-flexible coupling model of the HVCB’s components and the whole system are established. The vibration signals of the two models are simulated and compared based on the finite element method. The component model mainly consists of the static arc contact and the dynamic arc contact. Furthermore, the mechanical fault is artificially set in the HVCB, and the vibration waveform are obtained. Finally, the simulation data is compared with the experimental results and the fault characteristics are analyzed. This research realizes the modeling, simulation and measurement of HVCB dynamic characteristics, which is of great significance to the diagnosis and prevention of HVCB mechanical faults.
With the deepening of the construction of the inter-provincial electricity spot market and its official operation, market risk assessment is becoming increasingly important. Based on the multi-level unified market str...
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ISBN:
(数字)9798331517540
ISBN:
(纸本)9798331517557
With the deepening of the construction of the inter-provincial electricity spot market and its official operation, market risk assessment is becoming increasingly important. Based on the multi-level unified market structure, the differences between provincial and inter-provincial spot market are firstly analyzed. According to the operation characteristics and correlation characteristics of inter-provincial electricity spot market, the risk assessment index system is constructed from five aspects: market structure risk, market price risk, market member behavior risk, market operation efficiency risk, and market correlation risk, and the index weight is determined by using the analytic hierarchy process method and the improved entropy weight method, and the comprehensive calculation of market risk is carried out.. Finally, the evaluation and analysis of three typical scenarios in actual operation are carried out, and the examples show that the proposed evaluation method can accurately quantify the market risk and has good practicability.
To improve the heat transfer efficiency of the reactor fuel assembly, it is necessary to accurately calculate the two-phase flow boiling characteristics and the critical heat flux (CHF) in the fuel assembly. In this p...
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Microgrids comprising photovoltaic (PV), energy-storage systems and electric vehicles have received increasing attention. However, the increase in renewable energy sources, such as PVs, will introduce uncertainty fact...
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