The conventional security constraint unit commitment plan is difficult to adapt to the uncertainty of high proportion of renewable energy output, and is easy to cause risks to the real-time power supply-demand balance...
The conventional security constraint unit commitment plan is difficult to adapt to the uncertainty of high proportion of renewable energy output, and is easy to cause risks to the real-time power supply-demand balance and the security of power system operation. Aiming at the requirements of optimization and decision-making for high proportional renewable energy provincial power grid day-ahead scheduling, this paper analyzes the optimization decision-making process of day-ahead scheduling planning considering uncertainties of renewable energy, and proposes a renewable energy output scenario set generation method based on renewable energy power forecast and forecast error probability distribution. A day-ahead stochastic unit commitment optimization model and algorithm considering the uncertainty of renewable energy and power system operation risk is established. The effectiveness and practicability of the proposed method are verified based on the day-ahead actual operation data of a provincial power grid.
The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in powe...
The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations’ scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making.
The communication safety of the safety and stability control system has received more and more attention. This paper analyzes the risks and consequences of the inter-station communication in detail. Based on the speci...
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Achieving the national goal of "carbon peak, carbon neutral" is a complex and challenging task. The carbon emission of the power industry accounts for nearly 40% of the total carbon emission, so the task of ...
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With the rapid development of ultra-high voltage AC and DC power supply and the increase of large-capacity power bases, China’s power system shows obvious integration characteristics of power balance in the whole pow...
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The high penetration of new energy integration into the power grid has highlighted the problem of voltage stability. Continuation Power Flow (CPF) is an important tool for Voltage Stability Analysis (VSA). As the scal...
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ISBN:
(数字)9798350375855
ISBN:
(纸本)9798350375862
The high penetration of new energy integration into the power grid has highlighted the problem of voltage stability. Continuation Power Flow (CPF) is an important tool for Voltage Stability Analysis (VSA). As the scale of new energy grid integration continues to expand, the method of power equivalent modeling of the aggregated grid in the main transmission network fails due to the neglect of the network structure and new energy models. This paper proposes a distributed voltage stability assessment method for high proportion new energy grids based on Distributed Continuation Power Flow (DCPF). The proposed method decomposes the global grid at the Point of Common Coupling (PCC) into new energy Sub-grids (SGs) and the transmission Main-grid (MG), achieving distributed computation of global grid voltage stability assessment by exchanging state information at the PCC between MG and SGs. Simulation results of the global power system show that the proposed method is effective.
With the advanced 5G communication technology and the wireless communication environment of 5G communication network with high bandwidth, low delay and high reliability, line differential protection based on 5G commun...
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Recently, numerous sub-synchronous oscillations (SSO) events have occurred in many wind farms in China, which seriously threatened the power system security and stability. It is generally believed that the LC resonanc...
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Failure of the DC system itself to withdraw from operation or failure of the AC system causing blocking of the DC system may result in a tidal shift to overload the AC line. Unreasonable tripping of the AC line's ...
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With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the...
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ISBN:
(数字)9798350363951
ISBN:
(纸本)9798350363968
With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the foundation for frequency stability coordination and optimization control, it is necessary to use reasonable quantitative evaluation indicators for primary frequency regulation performance. Firstly, the dynamic response characteristics of frequency modulation resources in load fluctuation scenarios and large power disturbance scenarios are analyzed separately. Then, by mastering the frequency response characteristics of the system considering primary frequency regulation in different scenarios, the key factors affecting the safety and stability characteristics of the system frequency are determined. Finally, a quantitative evaluation method for the primary frequency regulation performance of frequency modulation resources is proposed, and the applicability of the proposed evaluation method is verified based on typical scenario examples.
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