Multi-objective optimal operation of integrated thermal-natural gas-electrical energy distribution systems

Asl, Dariush Keihan; Seifi, Ali Reza; Rastegar, Mohammad; Mohammadi, Mohammad

doi:10.1016/j.applthermaleng.2020.115951

Cited by 24 publications

(5 citation statements)

References 47 publications

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“…• In several published literature, authors have focused on uncertainty management techniques and the impact of new flexible resources on the optimum scheduling of multi-energy • In [18][19][20][21][22][23], the authors have largely explored the function of multi-type flexible resources in the EDS without addressing the physical restrictions of DHS, where the heat losses of DHS and ambient temperature fluctuations might impact the optimum scheduling of the multi-energy system. • Although EDS and DHS are controlled under a coordinated method in certain works, such as [24][25][26][27][28][29][30][31], the operating mode of DHS is based on CF-VT, which is less flexible than variable mass flow and VT (VF-VT) model. In addition, the influence of techno-environmental restrictions and multitype adaptable resources has not been exhaustively studied in the aforementioned research.…”

Section: Gaps and Contributionsmentioning

confidence: 99%

“…In [29], the connection between EDS and DHS is considered by CHP plants and HPs, in which after specifying power prices from solving the AC power flow problem, the DHS operator solves a heat flow problem to achieve an optimal generation strategy. In [30], a multi-goal optimization model for distribution systems has been proposed, in which power and heat technical constraints are considered, and the CF-VT control strategy is used to model DHS. The authors of [31] proposed a day-ahead scheduling scheme for combined EDS and DHS that takes into account the thermal inertia of buildings and establishes a building model based on a comprehensive thermal structure.…”

Section: Introductionmentioning

confidence: 99%

“…According to the reviewed literature and Table 1, it can be clearly understood that there is no study that comprehensively and simultaneously analyses economic, technical, and environmental aspects in the optimal scheduling of coordinated EDS and DHS in the presence of multi‐type flexible energy sources. The considerable gaps in the examined papers are presented as follows: In several published literature, authors have focused on uncertainty management techniques and the impact of new flexible resources on the optimum scheduling of multi‐energy systems under the energy hub idea, neglecting the technical and practical limits of EDS and DHS. In [18–23], the authors have largely explored the function of multi‐type flexible resources in the EDS without addressing the physical restrictions of DHS, where the heat losses of DHS and ambient temperature fluctuations might impact the optimum scheduling of the multi‐energy system. Although EDS and DHS are controlled under a coordinated method in certain works, such as [24–31], the operating mode of DHS is based on CF‐VT, which is less flexible than variable mass flow and VT (VF‐VT) model. In addition, the influence of techno‐environmental restrictions and multi‐type adaptable resources has not been exhaustively studied in the aforementioned research. According to Table 1 and the gaps investigated above, the main contributions of this paper are described as follows: This paper proposes an optimal day‐ahead scheduling model for an integrated energy system (IES), where the physical and environmental constraints of EDS and HDS are considered simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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Techno‐economic, environmental and risk analysis of coordinated electricity distribution and district heating networks with flexible energy resources

Mirzaei

Zare

Mohammadi‐Ivatloo

et al. 2023

IET Renewable Power Gen

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Due to the strong dependence between electricity generation and heating supply and the need for optimal use of renewable energies to supply power and heat loads, it is essential to provide an integrated energy management structure for electricity and heating systems. This paper studies the techno‐economic and environmental aspects of a combined electricity distribution and district heating system by considering multi‐type flexible energy resources and the environmental and practical constraints of both networks. The integrated energy system (IES) is equipped with wind power plants, combined heat and power plants, gas boilers, heat pumps, multi‐energy storage systems, electric vehicle parking lots, and multi‐energy demand response, as well as the IES operator can take part in the energy market to supply thermal and electrical demands. Besides, a robust strategy is adopted to control the power price uncertainty in the day‐ahead scheduling of IES, where a robustness parameter is considered to adjust the risk level of scheduling. The numerical results show that technical and environmental constraints can significantly increase the operation cost of IES by 11.8% and 3.6%, respectively. In addition, multi‐type flexible resources can improve the operational flexibility of IES by 16.1%.

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Section: Gaps and Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Techno‐economic, environmental and risk analysis of coordinated electricity distribution and district heating networks with flexible energy resources

Mirzaei

Zare

Mohammadi‐Ivatloo

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…The weighted sum and fuzzy methods were selected for determining the final optimal solution. Keyhanasl et al [195] proposed the modified TLBO algorithm to achieve the optimal energy flow of an integrated energy system that caused the minimization of operational energy cost, electrical losses and power flow imbalances.…”

Section: Other Multi-objective Meta-heuristic Algorithmsmentioning

confidence: 99%

Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview

Alsagri

Alrobaian

2022

Energies

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Combined heat and power (CHP) plants are known as efficient technologies to reduce environmental emissions, balance energy costs, and increase total energy efficiency. To obtain a more efficient system, various optimization methods have been employed, based on numerical, experimental, parametric, and algorithmic optimization routes. Due to the significance of algorithmic optimization, as a systematic method for optimizing energy systems, this novel review paper is focused on the meta-heuristic optimization algorithms, implemented in CHP energy systems. By considering the applied objective functions, the main sections are divided into single-objective and multi-objective algorithms. In each case, the units’ combination is briefly detailed, the objective functions are introduced, and analyses are conducted. The main aim of this paper is to gather a database for the optimization of CHPs, demonstrate the effect of the applied optimization methods on the objective functions, and finally, introduce the most efficient methods. The most significant feature of this paper is that it covers all types of CHP optimization issues including scheduling, sizing, and designing problems, finding the extent of each optimization issue in the relevant papers in the last decade. Based on the findings, in the single-objective problems the combined heat and power economic dispatch (CHPED) issue as a subcategory of the scheduling problems is introduced as the most paid topic; the designing issue is known as the lowest paid topic. In the multi-objective problems, working on various types of CHP optimization problems has been conducted with an almost similar share. The combined heat and power economic emission dispatch (CHPEED) problem with the most share, and the sizing issue with the lowest share. The CHP designing and sizing optimization issues could be introduced as topics to work on more in the future. Additionally, the numerical results of CHPED and CHPEED problems solved by various algorithms are presented and compared. In this regard, specified test systems are considered.

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“…In [3], an electrothermal IES operation optimization model is built for the radial structure heat network. In [4], a refined steady-state energy flow calculation model is built for the heat network. Both papers use the interior point method to optimize the electro-thermal coupled IES.…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow calculation method for regional integrated energy system based on double-layer optimization

Zhang,

Zhao,

Liu

et al. 2024

J. Phys.: Conf. Ser.

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In this paper, a two-layer optimization calculation method is proposed to improve the practical application efficiency of the integrated energy system and to improve the different problems of power flow calculation. Firstly, the power flow model is constructed and the optimization function is established based on indicators such as economy and environmental protection. The two-layer optimization method is proposed by combining the quadratic programming method and the particle swarm algorithm. Then, the obtained operating conditions of each energy equipment are used as the input of the power flow. The processing of each device and the energy flow of the power flow network are calculated and the effectiveness of the algorithm is verified by MATLAB power analysis.

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Multi-objective optimal operation of integrated thermal-natural gas-electrical energy distribution systems

Cited by 24 publications

References 47 publications

Techno‐economic, environmental and risk analysis of coordinated electricity distribution and district heating networks with flexible energy resources

Techno‐economic, environmental and risk analysis of coordinated electricity distribution and district heating networks with flexible energy resources

Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview

Optimal power flow calculation method for regional integrated energy system based on double-layer optimization

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