Research on power and energy balance of new power system under low carbon emission path

Wu, Mengkai; Shi, Jiannong; Wen, Hongjun; Qiu, Yi; Guo, Chuangxin

doi:10.1016/j.egyr.2022.10.133

Cited by 12 publications

(3 citation statements)

References 3 publications

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“…The discharging green power of DES is the optimization variable of the low-carbon dispatching decision-making model. However, as shown in (25), the discharging green power of DES in each region is calculated based on the integrated SOC, green SOC, and overall discharging green power. A nonlinear fractional expression X = a/c is formed, where a represents the green SOC, and c represents the integrated SOC, and they are real number variables.…”

Section: Linearization Processingmentioning

confidence: 99%

“…Meanwhile, to address the carbon emissions of the VPP, the low-carbon economic dispatching can effectively balance the economy and cleanness [25], [26]. To improve the reliability of the multiload power supply and ensure the low-carbon economic operation of VPPs, [27] constructs a multiload aggregation model aiming to maximize profit and a VPP supply-demand matching model aiming to minimize carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

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Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Gao,

Jin,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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The scale of distributed energy resources is increasing, but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor responsiveness. To address this issue, the concept of cleanness value of distributed energy storage (DES) is proposed, and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and cleanness. Based on this, an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system operator. Then, an optimal low-carbon dispatching for a virtual power plant (VPP) with aggregated DES is constructed, wherein energy value and cleanness value are both considered. To achieve the goal, a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network (DN) and DES behavior, but as a cost, it brings multiple nonlinear relationships. Subsequently, a solution method based on the convex envelope (CE) linear reconstruction method is proposed for the multivariate nonlinear programming problem, thereby improving solution efficiency and feasibility. Finally, the simulation verification based on the IEEE 33-bus DN is conducted. The simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to respond. Meanwhile, resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

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Section: Linearization Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Gao,

Jin,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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show abstract

“…In the global low-carbon transformation context, wind power generation technology has become many countries' most competitive renewable energy generation technology [1][2][3]. Wind power technology has the advantages of low power generation cost and mature technology.…”

Section: Introductionmentioning

confidence: 99%

Ladder Time Stepwise Inertia Coordinated Control Method of Multiple Wind Farms to Suppress System Frequency Secondary Drop

Li,

Liu,

et al. 2024

ENERGY

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When employing stepwise inertial control (SIC), wind power generation can offer significant frequency support to the power system, concurrently mitigating energy shortages and suppressing secondary frequency drop. Nonetheless, further investigation is imperative for implementing stepped inertia control due to variations in frequency regulation capabilities and operational safety among diverse wind farm groups. Consequently, this paper advocates a multi-wind farm ladder timing SIC method designed to alleviate secondary drops in system frequency. Initially, the paper introduces the fundamental principles of stepped inertia control for a doubly-fed induction generator (DFIG) and deduces the relationship between support energy, wind power deficit at the exit, and SIC's inertia power and support duration. Subsequently, the wind farm group is categorized into three groups using the classic wind speed zoning method, and the additional power reference for SIC is computed based on rotor safety requirements. A ladder time for the wind farm groups is introduced to address the potential exacerbation of secondary frequency drop issues resulting from the simultaneous activation of stepwise inertia control across all wind farms. The relationship between the initial kinetic energy loss of the wind farm group, the power deficit upon the exit of stepwise inertia control, and the ladder time is deduced. The NSGA-II multi-objective optimization algorithm is then employed to adjust the ladder time among multiple wind farm groups in the system. Finally, a modified IEEE-9 test system comprising three wind fields is constructed in MATLAB/Simulink to validate the proposed method. The results demonstrate the efficacy of the ladder time SIC coordinated strategy in providing robust frequency support, suppressing secondary frequency drops, streamlining control tasks, and enhancing the safety of wind power frequency regulation.

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Adaptive grid-forming strategy for a photovoltaic storage system based on edge transfer PSO algorithm

Zhang,

Wu,

Wang

et al. 2024

Energy Reports

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Research on power and energy balance of new power system under low carbon emission path

Cited by 12 publications

References 3 publications

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Ladder Time Stepwise Inertia Coordinated Control Method of Multiple Wind Farms to Suppress System Frequency Secondary Drop

Adaptive grid-forming strategy for a photovoltaic storage system based on edge transfer PSO algorithm

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