Energy storage power plant has good static characteristics, can weaken the peak-to-valley difference through low storage and high generation, effectively relieving the peak regulation pressure of the power grid, and h...
Energy storage power plant has good static characteristics, can weaken the peak-to-valley difference through low storage and high generation, effectively relieving the peak regulation pressure of the power grid, and has important application value in the new powersystem. The performance of energy storage power plant in power grid peaking is judged reasonably, so that it has high economic efficiency, clean environmental protection value and safer power grid operation. First, a comprehensive evaluation index system of energy storage is constructed by proposing indicators covering technical, economic, clean and safety aspects for peaking scenarios. Then, the fuzzy integrated evaluation method was used to calculate the above indicators, and the improved coefficient of variation method was used to assign weights to each evaluation indicator during the calculation. Then, the fuzzy comprehensive evaluation method was used to calculate the comprehensive assessment of the energy storage power plants under the peaking scenario, and the assessment level and the assessment score of the energy storage power plants were obtained. Finally, a regional power grid is used as the object for simulation, and the evaluation grade and evaluation score of each performance of the energy storage power plant under peak regulation are obtained to verify the effectiveness of the proposed method.
The optimal allocation of resources through the synergy of the electricity market, carbon emission market, and green certificate market is the necessary way for the development of the new powersystem with a high prop...
The optimal allocation of resources through the synergy of the electricity market, carbon emission market, and green certificate market is the necessary way for the development of the new powersystem with a high proportion of renewable energy. The impact of the carbon market on the electricity market is reflected by the carbon cost pass-through analysis. However, the mechanism of the green certificate market on carbon cost pass-through has not received due attention. In view of this situation, based on the establishment of the carbon cost pass-through analysis method, this paper further analyzes the coupling impact of green certificate trading and carbon emission trading. The energy-reserve joint optimization market trading model considering the equivalence relationship between green certificate trading and carbon emission trading was constructed, and the carbon cost pass-through rate was obtained based on weighted market simulation results. The effectiveness of the proposed method is verified by the simulation of a 10-unit system, and the influence of the price of green certificates on the cost pass-through rate is analyzed.
This paper develops a stability region computation method for time delayed powersystems based on the value set method. It is designed to accommodate systems with multiple uncertain parameters and time delays. This me...
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ISBN:
(数字)9798350359558
ISBN:
(纸本)9798350359565
This paper develops a stability region computation method for time delayed powersystems based on the value set method. It is designed to accommodate systems with multiple uncertain parameters and time delays. This method serves to analyze the small signal stability margin of powersystems and offer guidance for system parameter design. Different from many previous works, this method achieves relatively high efficiency without any conservativeness. First, it processes polynomials with exponentials through polynomial transformations. Second, by continuously subdividing and discriminating the uncertain space, the parameter stability region of the system is obtained. Finally, the effectiveness and accuracy of the proposed method are validated through simulation examples in MATLAB/Simulink.
In order to save energy, reduce carbon and realize sustainable development, the economic dispatch problem with valve-point effects is studied in this paper. Firstly, summarize the solving methods of economic dispatch ...
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With the widespread application of sensors nodes in power equipment, providing a stable energy supply for these sensors has become a significant challenge. Traditional batterypowered solutions are costly and difficult...
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ISBN:
(数字)9798350391329
ISBN:
(纸本)9798350391336
With the widespread application of sensors nodes in power equipment, providing a stable energy supply for these sensors has become a significant challenge. Traditional batterypowered solutions are costly and difficult to install. The development of energy harvesting technology offers a new technical approach to address this challenge. This paper mainly investigates how to enhance the energy harvesting power of Magnetic Field Energy Harvesters (MEH) under conditions where the magnetic field around power equipment is limited. A dynamic control method is proposed to improve the energy harvesting power of MEH. The fundamental idea of dynamic control is to precisely control the MOSFETs in the rectifier, dynamically adjusting the switching times of the energy harvesting interval to be symmetric around the peak current of the primary side, thereby significantly enhancing harvesting efficiency. This method is particularly applicable when the magnetic core enters the soft saturation region, causing the energy harvesting interval to be less than T/2. Experimental results show that under constant voltage load, dynamic control effectively adjusts the energy harvesting interval, maximizing the current extracted during this interval, thereby effectively increasing energy harvesting power. Compared to passive rectification, active rectification under dynamic control increases the energy harvesting power by 76%, and the power factor of active rectification is 1.7 times that of passive rectification. The research findings provide important theoretical support and practical significance for the application of magnetic field energy harvesting technology in sensor nodes.
Traditionally virtual inertia is the control strategy of wind turbines when participating in frequency regulation. However, it has inherent defects in measurement error amplification, due to the frequency differential...
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Traditionally virtual inertia is the control strategy of wind turbines when participating in frequency regulation. However, it has inherent defects in measurement error amplification, due to the frequency differential, and it may incur large response power deviation or even inverse response. Also, when control delay of wind turbines is taken into consideration, virtual inertia is essentially a kind of fast power response, just the same as droop control of wind turbines. Hence, considering the reliability of droop control, it’s valuable to explorer a novel droop control method without virtual inertia, as the frequency response model of wind turbines. For this reason, a multi-segment droop control strategy was proposed to provide a reliable frequency regulation model for wind turbines, which can be broadly applied in other inverter-based power sources. Firstly, based on the extended system frequency response (SFR) model, a differential equation including piecewise time-varying coefficient was established to analyze the frequency response of the presented strategy. To deal with impulse function emerged during the deduction, the impulse function balancing principle and the integration by parts algorithm were adopted. Then the analytical expression of the frequency response with multi-segment droop control strategy can be obtained. Subsequently, based on analytical expression, the performance of multi-segment droop control strategy was theoretically analyzed via comparison with traditional virtual inertia control, and meanwhile the conclusion that the presented multi-segment droop control has better frequency regulation performance can be got. Furthermore, to achieve optimal frequency regulation performance, a Lagrangian function was established to get the optimal parameters of the proposed control strategy, according to the relationship between the frequency nadir and frequency regulation parameters. During its solution, the exponential homotopy algorithm was adopted. F
This paper proposed a model predictive control (MPC) secondary frequency control method considering wind and solar power generation stochastics. The extended state-space matrix including unknown stochastic power distu...
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This paper proposes an economic analysis method for distributed energy storage applications in distribution networks, and constructs a visual simulation platform. Firstly, the influence of photovoltaic / wind power fl...
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In wind turbine generators system, lacking of inertia is a common problem. In AC collecting system, some researches have been done to solve this problem. However, in DC collecting system, few researches were done. Thi...
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ISBN:
(数字)9798350380514
ISBN:
(纸本)9798350380521
In wind turbine generators system, lacking of inertia is a common problem. In AC collecting system, some researches have been done to solve this problem. However, in DC collecting system, few researches were done. This paper analyzes the analogies between AC and DC collecting system and the virtual capacitor control corresponding to the virtual synchronous generator control. Small signal models of different precision are proposed considering the LLC resonant converter used for stepping-up. The virtual capacitance provided by the control is calculated using the small signal model and this verifies the effectiveness of the control quantitively and demonstrates that the small signal models are useful.
In Silicon Carbide based voltage source converters (VSCs), pairing Schottky barrier diodes (SBDs) presents trade-offs. While SBDs reduce the freewheeling loss and mitigate the adverse effects of bipolar conduction, th...
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