Integrated Electricity and Natural Gas System for Day-Ahead Scheduling

Xu, Yang; Zhao, Fei; Lai, Loi Lei; Wang, Yifei

doi:10.1109/smc.2019.8914374

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…SCP with initial point achieved by the penalty function is denoted as penalty function (PF) initial. Zero initial means SCP with zero initial points [56]. The gap of the proposed method reduces greatly, and the accuracy will converge 5 iterations later.…”

Section: Impact Due To Congestion and Demand Responsementioning

confidence: 94%

Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

Lai

Yan

et al. 2021

Applied Sciences

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This work presents a new coordinated operation (CO) framework for electricity and natural gas networks, considering network congestions and demand response. Credit rank (CR) indicator of coupling units is introduced, and gas consumption constraints information of natural gas fired units (NGFUs) is given. Natural gas network operator (GNO) will deliver this information to an electricity network operator (ENO). A major advantage of this operation framework is that no frequent information interaction between GNO and ENO is needed. The entire framework contains two participants and three optimization problems, namely, GNO optimization sub-problem-A, GNO optimization sub-problem-B, and ENO optimization sub-problem. Decision sequence changed from traditional ENO-GNO-ENO to GNO-ENO-GNO in this novel framework. Second-order cone (SOC) relaxation is applied to ENO optimization sub-problem. The original problem is reformulated as a mixed-integer second-order cone programming (MISOCP) problem. For GNO optimization sub-problem, an improved sequential cone programming (SCP) method is applied based on SOC relaxation and the original sub-problem is converted to MISOCP problem. A benchmark 6-node natural gas system and 6-bus electricity system is used to illustrate the effectiveness of the proposed framework. Considering pipeline congestion, CO, with demand response, can reduce the total cost of an electricity network by 1.19%, as compared to −0.48% using traditional decentralized operation with demand response.

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Section: Impact Due To Congestion and Demand Responsementioning

confidence: 94%

Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

Lai

Yan

et al. 2021

Applied Sciences

Self Cite

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“…Many options are being studied for grid-scale storage. For example, power to gas (PtG) is a technology that could be useful in the short to medium term as a component of a comprehensive grid-scale storage solution in support of a power grid to accommodate intermittent renewable energy resources [4][5][6][7]. At the same time, microgrids have attracted wide attention as an integrated technology including renewable energy and other distributed power sources [8,9].…”

Section: Introductionmentioning

confidence: 99%

A Review on Thermal Energy Modelling for Optimal Microgrids Management

Yan

Wang

Lai

et al. 2021

Thermo

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Microgrids have become increasingly popular in recent years due to technological improvements, growing recognition of their benefits, and diminishing costs. By clustering distributed energy resources, microgrids can effectively integrate renewable energy resources in distribution networks and satisfy end-user demands, thus playing a critical role in transforming the existing power grid to a future smart grid. There are many existing research and review works on microgrids. However, the thermal energy modelling in optimal microgrid management is seldom discussed in the current literature. To address this research gap, this paper presents a detailed review on the thermal energy modelling application on the optimal energy management for microgrids. This review firstly presents microgrid characteristics. Afterwards, the existing thermal energy modeling utilized in microgrids will be discussed, including the application of a combined cooling, heating and power (CCHP) and thermal comfort model to form virtual energy storage systems. Current trial programs of thermal energy modelling for microgrid energy management are analyzed and some challenges and future research directions are discussed at the end. This paper serves as a comprehensive review to the most up-to-date thermal energy modelling applications on microgrid energy management.

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Optimal Scheduling of Electricity-Gas Networks Considering Gas Storage and Power-to-Gas Technology

Talebi

Sadeghi-Yazdankhah

2021

Power Systems

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Integrated Electricity and Natural Gas System for Day-Ahead Scheduling

Cited by 3 publications

References 22 publications

Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

A Review on Thermal Energy Modelling for Optimal Microgrids Management

Optimal Scheduling of Electricity-Gas Networks Considering Gas Storage and Power-to-Gas Technology

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