Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is prop...
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Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this ...
Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this paper proposed a short-term power forecasting for wind power generation under extreme weather conditions. Firstly, the relationship between wind speed and wind turbine output power is analyzed and a wind power generation model is established. Then, the Long Short-Term Memory Neural Network (LSTM) is applied to construct a short-term power prediction model for wind turbines, and establishes three models for wind turbine decommissioning under extreme weather. Moreover, the climbing control strategy of wind turbine is also investigated to guarantee the system safety, stability and operation economy. Finally, the numerical analysis is carried out on the wind farm consists of 28 wind turbines, the results verify the effectiveness and superiority of the proposed method.
Cyber Physics systems consists of physical systems and information systems. Modern power systems are increasingly dependent on information systems, experts and scholars are paying more and more attention to cyber atta...
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Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park’s ...
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Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park’s participation in the frequency regulation market considering the complementarity of wind park power outputs. By defining a quantitative complementarity index, we show how the complementarity contributes to the regulation reserve reliability of wind parks and the consistent market performance, and verify the conclusions via numerical analysis.
In recent years, computer vision applied in industrial application scenarios has been attracting attention. A lot of work has been made to present approaches based on visual perception, ensuring the safety during the ...
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Mitigating climate change is a global consensus. China is aiming to have carbon emissions peak before 2030 and achieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achi...
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ISBN:
(纸本)9781665434263
Mitigating climate change is a global consensus. China is aiming to have carbon emissions peak before 2030 and achieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious “30•60” target. Compliance enterprises, financial institutions, and individual investors are allowed to participate in the national carbon market and the complex trading interactions among these heterogeneous participants will make the market dynamics difficult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-social system in energy (CPSSE), this paper constructs a hybrid simulation environment based on the Dynamic Simulation platform for Macro-Energy systems (DSMES), in order to study the herding behavior effects on carbon market under different scenario settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial institutions are analyzed and constructed. Then, the herding behavior effects are studied under different market scenario settings such as the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based on multi-scenario case studies, which provide decision support for market design and regulation.
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 reducing...
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ISBN:
(纸本)9781665434263
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 reducing emissions is heavy. However, carbon emission reduction in the power industry requires the joint effort of all segments of power generation, transmission, distribution, and consumption. It should be noted that the contribution of scientific assessment of carbon emission reduction in each segment is essential. This paper proposes a framework for assessing the carbon emission reduction additionality of subjects in every link of the power system. The proposed framework identifies the carbon emission reduction additionality of each link of power production, transmission, and consumption by comparing the carbon emission reduction benefits of a given measure with the intervention of the measure. In the evaluation framework, a multi-dispatching scenario evaluation method based on AC optimal power flow (AC OPF) is proposed to evaluate the carbon emission reduction benefits of the power grid under the clean-energy-consumption dispatching and network-1oss-minimization dispatching modes. The proposed method examines different transmission power scenarios of a new energy outgoing ultra-high voltage line and analyzes the carbon emission reduction additionality of the power grid. Finally, the feasibility of the proposed method is verified by simulations using a provincial power grid as a case study.
In view of the shortage of direct measurement method for shafting of large generator sets, this paper proposes a sensor monitoring technology based on illumination emphasis. The article first introduces the research s...
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The incentive policies for non-fossil energy are important factors affecting the investment behavior of generation companies (GENCOs). However, the investment behavior of different types of GENCOs in the system could ...
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Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems ba...
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Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.
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