Optimal planning of capacities and distribution of electric heater and heat storage for reduction of wind power curtailment in power systems

Gou, Xing; Chen, Qun; Hu, Kang; Ma, Huan; Lei, Chen; Wang, Xiaohai; Qi, Jun; Xu, Fei; Min, Yong

doi:10.1016/j.energy.2018.07.027

Cited by 26 publications

(14 citation statements)

References 29 publications

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“…Additional equipment investment can increase the utilization of wind power, such as heat pumps [3], electric boilers (EBs) [4], [5], and heat storage tanks (HSTs) [6]. Electric heater and heat storage device are integrated into power system to accommodate more extra wind power to improve economic benefit in [7]. Another way is to exploit pipelines or build energy storage in district heating systems (DHSs).…”

Section: A Indices and Setsmentioning

confidence: 99%

“…Inequation (5) represents network constraints that the transmission flows cannot exceed the transmission ability. Inequations (6), (7), and (8) represent the installed capacities of CHP units, thermal units, and wind power generators, respectively. Inequations (9) and (10) are the ramping rate constraints of CHP units and thermal units, respectively.…”

Section: B Electric Power System Modelmentioning

confidence: 99%

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Relaxed Alternating Direction Method of Multipliers for Hedging Communication Packet Loss in Integrated Electrical and Heating System

Liang

Huang

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Integrated electrical and heating systems (IEHSs) are promising for increasing the flexibility of power systems by exploiting the heat energy storage of pipelines. With the recent development of advanced communication technology, distributed optimization is employed in the coordination of IEHSs to meet the practical requirement of information privacy between different system operators. Existing studies on distributed optimization algorithms for IEHSs have seldom addressed packet loss during the process of information exchange. In this paper, a distributed paradigm is proposed for coordinating the operation of an IEHS considering communication packet loss. The relaxed alternating direction method of multipliers (R-ADMM) is derived by applying Peaceman-Rachford splitting to the Lagrangian dual of the primal problem. The proposed method is tested using several test systems in a lossy communication and transmission environment. Simulation results indicate the effectiveness and robustness of the proposed R-ADMM algorithm.

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Section: A Indices and Setsmentioning

confidence: 99%

Section: B Electric Power System Modelmentioning

confidence: 99%

Relaxed Alternating Direction Method of Multipliers for Hedging Communication Packet Loss in Integrated Electrical and Heating System

Liang

Huang

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…Heat transfer medium flow in the network should meet the basic law of network: each nodal flow should meet the flow continuity equation [10,32,33]. In a closed loop of pipelines, the sum of the pressure head losses of heat transfer medium flow in each pipe is 0, which can be described by:…”

Section: Heat Systemmentioning

confidence: 99%

“…∆ . H b is the pressure head losses vector of pipeline or branch in heat system, and the calculation method can be found in [10,28,33]. .…”

Section: Heat Systemmentioning

confidence: 99%

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Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Zhong

Zhou²,

Zong³

et al. 2019

Energies

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In order to solve the frequently occurred nonlinear working characteristics problem of the devices in integrated energy system (IES), where this nonlinear problem causes the offset of operation characteristics and design points of those devices, in this paper, the hierarchical multi-objective fuzzy collaborative optimization model of IES under off-design performance is proposed. Firstly, the high-order nonlinear models of devices under off-design performance, including fuel cell (FC), gas turbine (GT), absorption lithium bromide chiller (ABS), etc., are presented considering renewable energy and diversified storage devices, which can more accurately describe the actual working condition of devices. Secondly, according to the needs of different engineering application modes, the lower level collaborative optimization model of energy hub (EH) with economic, eco-friendly, primary energy saving, and renewable energy accommodation rate as optimization objectives is proposed, which can well adapt to and reflect real world energy system. Thirdly, based on the relationship between master and slave dispatch centers, the upper level modeling and optimal scheduling model of IES consisting of coupling power system, natural gas system, and heat system is proposed. Then, a multi-objective fuzzy collaborative optimization model for EH and IES is developed, where continuous differentiable Sigmoid function is taken as the membership function. Finally, simulation results show that the proposed models and optimal dispatch method can effectively solve the frequently occurred non-linear working characteristics problem of the devices in IES. The optimal results are suitable for planning, calculation, operation, dispatch of IES, which can reasonably reflect the operation characteristics of IES.

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The Multi-objective Optimization of PV-CSP Hybrid System with Electric Heater

Labbadi

Elyaalaoui

Bousselamti

et al. 2022

Studies in Systems, Decision and Control

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Optimal planning of capacities and distribution of electric heater and heat storage for reduction of wind power curtailment in power systems

Cited by 26 publications

References 29 publications

Relaxed Alternating Direction Method of Multipliers for Hedging Communication Packet Loss in Integrated Electrical and Heating System

Relaxed Alternating Direction Method of Multipliers for Hedging Communication Packet Loss in Integrated Electrical and Heating System

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

The Multi-objective Optimization of PV-CSP Hybrid System with Electric Heater

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