Load following mechanism and power flow algorithm under generator rotor angle control mode

Wei, Qiang; Han, Xueshan; Guo, Weimin; Yang, Ming; Liu, Guojing

doi:10.1049/iet-gtd.2015.0131

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Due to the great technological advance applied in the development of new PMUs with the ability to measure the rotor angle with good precision, today new proposals are under development for implementing methodologies for the control of electrical power systems, such as the D_LFC scheme analyzed in [15]. This decentralized scheme is based on a consensus that depends on the fact that each generator is locally provided with a PMU with the capacity to measure its internal rotor angle δ to be compared to the reference value

\delta _{ref}

.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Thus, [13] proposes a methodology for the implementation of decentralized controllers that are synchronized by a second-order consensus. Wei et al, in several articles [10,14,15], proposes the concept of introducing the measurement of the internal rotor angle and establishes its principles to implement a local controller within the governor that can return the frequency to its nominal value after an event of deviation between demand and generation. However, for the implementation of his proposal, a complete observability of the system is required, thus there is a need to install PMUs in all the generation units, being an expensive solution.…”

Section: Introductionmentioning

confidence: 99%

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Optimum frequency response with decentralized drivers in power system

Maldonado

Cepeda

Gamboa

et al. 2023

IET Generation Trans & Dist

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This document presents a novel methodology to optimize the power system frequency response based on the implementation of decentralized controllers. The proposed method focuses on the control of the internal rotor angle in the selected generator, which allows its governor to act as a decentralized controller that requires as input local measurements. Through a proposed optimization process, it is first possible to establish a set of optimal parameters for each controller and, second, to determine the required phasor measurement units (PMUs) and their locations that are necessary to be installed in a power system. This comprehensive proposal is based on the time domain evaluation of the frequency response when multiple scenarios of deviations between demand and generation occur. Finally, the new proposal is applied to the IEEE 39-bus test system to validate its advantages; for this, the test power system as well as the proposed controllers are implemented in DIgSILENT PowerFactory, along with Python to manage the optimization process.

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\delta _{ref}

.…”

Section: Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimum frequency response with decentralized drivers in power system

Maldonado

Cepeda

Gamboa

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…On the one hand, energy consumption and emissions can be reduced in the short term through the power-saving dispatch of power plants. On the other hand, in the process of investing in power generation, the introduction of energy-saving and emissionreduction technologies to maximize the elimination of backward production capacity (Wei et al, 2016) has a profound impact on the development of enterprises. The implementation of the energy-saving power generation plan will greatly change the profit distribution of the country's power generation industry, and will also have a certain impact on power grid companies and users.…”

Section: Energy-saving Power Generation Scheduling Analysismentioning

confidence: 99%

Research on generation scheduling mechanism of interconnected power system based on runoff forecast

Shi-ming

Peng

et al. 2022

Front. Energy Res.

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In order to reduce power energy consumption and ensure the sustainable development of resources, a research on the generation scheduling mechanism of interconnected power systems based on runoff forecasting is proposed. First, by studying energy-saving power generation scheduling and using the average distribution method, there will be a lot of energy consumption and pollution emissions, so it is necessary to formulate a reasonable power generation scheduling plan; secondly, the medium and long-term runoff forecasting method is analyzed, and artificial neural networks are used to select appropriate hidden nodes Finally, the economic characteristics of the two-stage power generation of the hydropower station are explored, and the marginal benefit of the water level storage capacity and the total power generation is obtained by combining the current operating status and forecast information of the reservoir. Through experiments, it is proved that the method in this paper can better predict the power generation scheduling mechanism of hydropower stations, and the annual power generation of the optimized scheduling is 1.92% higher than that of conventional scheduling, which has significant advantages, ensuring the reasonable distribution of power resources and preventing unnecessary waste.

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