Improved Ramping and Reserve Modeling of Combined Heat and Power in Integrated Energy Systems for Better Renewable Integration

Jin, Tianyu; Chen, Xinyu; Wen, Jinyu; Wu, Qiuwei; Bai, Linquan; Liu, Yifeng; Cao, Yang

doi:10.1109/tste.2021.3127245

Cited by 10 publications

(3 citation statements)

References 26 publications

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“…The main heat storage method can be divided into latent heat, rationality, and chemicals. Among them, latent heat storage is of high energy density and low material cost [4][5][6], which is also the main trend of thermal energy storage in the future [7]. The main carrier material of latent heat energy storage is phase change material (PCM), so the integration of phase change heat storage technology and integrated energy systems has become a current research hotspot.…”

Section: Introductionmentioning

confidence: 99%

Capacity planning of household photovoltaic and energy storage systems based on distributed phase change heat storage

Shao,

Zhang,

et al. 2024

J. Phys.: Conf. Ser.

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With the global energy reform, the energy storage field has become one of the current research hotspots. This paper considers the distributed phase change material unit (PCMU) system. First, the distributed PCMU model and the photovoltaic and energy storage systems model are constructed. Second, the actual capacity of the distributed PCMU that can participate in dispatching is analyzed. Finally, a calculation example is solved, and the optimal heat storage and electricity storage capacity is solved through the particle swarm algorithm. The results show that the constructed system has economic benefits.

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Section: Introductionmentioning

confidence: 99%

Capacity planning of household photovoltaic and energy storage systems based on distributed phase change heat storage

Shao,

Zhang,

et al. 2024

J. Phys.: Conf. Ser.

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“…A novel approach to heat and power management has been devised in [4], enabling CHP systems to operate with greater flexibility, which allows CHP systems to independently optimize their power output while taking into account the degradation of the fuel cell, ultimately resulting in increased profitability for users. The method of enhancing the flexibility of CHP systems is investigated in [5] through the refinement of ramping and reserve modeling constraints. These related works did not consider the heating compensation mechanism between CHP units and heat storage.…”

Section: Introductionmentioning

confidence: 99%

Carbon Management for Intelligent Community with Combined Heat and Power Systems

Cao,

Zhao,

2023

Sustainability

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In recent years, solar power technology and energy storage technology have advanced, leading to the increased use of solar power devices and energy storage systems in residential areas. Carbon management has become an important method to help the community manager guide energy consumption in a timely manner, effectively reduce the carbon emissions of the community, and reduce the substantial harm to the environment. This paper aims to study the issue of carbon management and resource allocation in an intelligent community with combined heat and power (CHP) systems and solar power. The presence of heterogeneous load demands in the power grid was considered. The main objective was to minimize the average system cost over time, which included the costs associated with the power grid and gas. The Lyapunov optimization theory was employed to solve the non-convex optimization problem of carbon management and resource allocation without energy sharing. To solve the energy-sharing problem, we designed an energy-sharing algorithm based on the Q-learning algorithm. Lastly, we conducted extensive simulations using actual trace data to validate the effectiveness of our proposed algorithms.

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“…In China, the vast majority of wind power generators are installed in northern regions [1,2], posing a significant challenge to the power system's ability to accommodate wind power. The peak-shaving ability of the power system in northern China is primarily dependent on coal-fired combined heat and power (CHP) units, as these units generate a high proportion of power.…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market

Yu,

Zhou,

et al. 2023

Energies

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The serious problem of wind power curtailment in northern China has created a pressing need to enhance the peak-shaving ability of the power system. As the main source of power supply in northern China, combined heat and power (CHP) units have significant potential for peak-shaving. Currently, the Chinese government encourages CHP plants to increase their peak-shaving capacity by installing power-to-heat (P2H) equipment. In addition, the government has implemented auxiliary service market policies to encourage CHP plants to provide peak-shaving services. In order to maximize economic benefits for CHP plants, this paper proposes an optimal configuration method of P2H equipment with the static payback time (SPT) as the objective function. Cost and income models of installing the P2H equipment are constructed by taking into account the auxiliary service market policies. The peak-shaving income model of the CHP plant is derived emphatically as a key part of the proposed method. Finally, the district heating region in Jilin province is used as a case study example. The results show that adding the P2H equipment is significantly effective in improving the peak-shaving ability of CHP units, and investing in heat pumps is more cost-effective than electric boilers. The proposed method can be applied to other northern regions relying on CHP units for central heating, providing a valuable solution to the problem of wind power curtailment in these regions.

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Improved Ramping and Reserve Modeling of Combined Heat and Power in Integrated Energy Systems for Better Renewable Integration

Abstract: With the largest installed capacity of wind power

Cited by 10 publications

References 26 publications

Capacity planning of household photovoltaic and energy storage systems based on distributed phase change heat storage

Capacity planning of household photovoltaic and energy storage systems based on distributed phase change heat storage

Carbon Management for Intelligent Community with Combined Heat and Power Systems

Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market

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