Cost-based siting and sizing of energy stations and pipeline networks in integrated energy system

Wang, Yongli; Wang, Jingyan; Gao, Mingchen; Zhang, Danyang; Liu, Yang; Tan, Zhongfu; Zhu, Jianqin

doi:10.1016/j.enconman.2021.113958

Cited by 26 publications

(2 citation statements)

References 50 publications

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“…Habibi et al [8] developed a multi-objective optimization model for site selection and capacity allocation of municipal solid waste facilities by considering relevant factors such as cost and greenhouse gas emission. Wang et al [9] proposed a collaborative planning method for site selection and adjustment of energy station and pipeline network, which effectively reduced the annual cost of the system. Gao et al [10] involved the compressed air in the operation framework and constructed a location and capacity planning model to solve the intermittent problem of renewable energy power generation.…”

Section: Introductionmentioning

confidence: 99%

Distribution Network Equipment Location and Capacity Planning Method Considering Energy Internet Attribute from the Perspective of Life Cycle Cost

Li¹,

Li²,

Lin³

2022

Energy Engineering

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For facing the challenges brought by large-scale renewable energy having access to the system and considering the key technologies of energy Internet, it is very necessary to put forward the location method of distribution network equipment and capacity from the perspective of life cycle cost. Compared with the traditional energy network, the equipment capacity problem of energy interconnected distribution network which involves in electricity network, thermal energy network and natural gas network is comprehensively considered in this paper. On this basis, firstly, the operation architecture of energy interconnected distribution network is designed. Secondly, taking the grid connection location and configuration capacity of key equipment in the system as the control variables and the operation cost of system comprehensive planning in the whole life cycle as the goal, the equipment location and capacity optimization model of energy interconnected distribution network is established. Finally, an IEEE 33 bus energy mutual distribution grid system is taken for example analysis, and the improved chaotic particle swarm optimization algorithm is used to solve it. The simulation results show that the method proposed in this paper is suitable for the equipment location and capacity planning of energy interconnected distribution network, and it can effectively improve the social and economic benefits of system operation.

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Section: Introductionmentioning

confidence: 99%

Distribution Network Equipment Location and Capacity Planning Method Considering Energy Internet Attribute from the Perspective of Life Cycle Cost

Li¹,

Li²,

Lin³

2022

Energy Engineering

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“…Li et al [11] determined the pipeline diameter by considering the variation of cold and thermal loads based on fixed road topology constraint using GA algorithm. Wang et al [12] considered the siting and sizing of the station considering pipeline network design using a cost-based function model. The topology of pipeline network will also affect the performance of energy transportation process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Pipeline Network Layout for Multiple Heat Sources Distributed Energy Systems Considering Reliability Evaluation

Cui

Lin

et al. 2021

Processes

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Due to the target of carbon neutrality, energy saving has become more important than ever. At the same time, the widespread use of distributed energy systems and the regional utilization of industrial waste heat leads to the existence of multiple heat sources in an area. Therefore, how to design an economical and reliable pipeline network to meet energy-saving demand under multiple heat source conditions becomes a problem. In this work, an optimization method is established to determine the optimal pipeline network topology with minimum total annual cost. In this optimization method, Star tree algorithm, Kruskal algorithm and GeoSteiner algorithm are combined with a linear programming model to establish a distributed energy pipeline network for multiple heat sources. The model incorporates Euclidean Steiner Minimum Tree and Rectilinear Steiner Minimum Tree in the consideration of the topology optimization of Distributed Energy System pipeline networks. Four pipeline network topologies, STAR, Minimum Spanning Tree, Euclidean Steiner Minimum Tree and Rectilinear Steiner Minimum Tree, are evaluated in this paper from economic and reliability perspectives. A case extracted from a real industrial park where steam is the medium is used to prove the validity of the model. The optimization results show that a Euclidean Steiner Minimum Tree pipeline network has a lower total annual cost than three other types of pipeline network and ranks second in reliability. Considering the comprehensive economy and reliability, ESMT is the optimal pipeline network type of distributed energy system with steam as the medium.

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A graph-theory-based dynamic programming planning method for distributed energy system planning: Campus area as a case study

et al. 2023

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Cost-based siting and sizing of energy stations and pipeline networks in integrated energy system

Cited by 26 publications

References 50 publications

Distribution Network Equipment Location and Capacity Planning Method Considering Energy Internet Attribute from the Perspective of Life Cycle Cost

Distribution Network Equipment Location and Capacity Planning Method Considering Energy Internet Attribute from the Perspective of Life Cycle Cost

Optimization of Pipeline Network Layout for Multiple Heat Sources Distributed Energy Systems Considering Reliability Evaluation

A graph-theory-based dynamic programming planning method for distributed energy system planning: Campus area as a case study

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