scholarly journals Demand Management for Resilience Enhancement of Integrated Energy Distribution System against Natural Disasters

2021 ◽  
Vol 14 (1) ◽  
pp. 5
Author(s):  
Yuting Xu ◽  
Songsong Chen ◽  
Shiming Tian ◽  
Feixiang Gong
Keyword(s):  
Natural Gas ◽  
Energy Distribution ◽  
Natural Disasters ◽  
Transmission Lines ◽  
Distribution System ◽  
Management Strategy ◽  
Demand Management ◽  
Distribution Network ◽  
Management Scheme ◽  
Importance Ranking

For energy sustainability, the integrated energy distribution system (IEDS) is an efficient and clean energy system, which is based on the coordinated operation of a power distribution network, a gas distribution network and a district heating system. In this paper, considering the damage of natural disasters to IEDS, a demand management strategy is proposed to improve resilience of IEDS and ensure stable operation, which is divided into three stages. In the first stage, the electricity, natural gas and thermal energy are co-optimized in the simulating fault state to develop the importance ranking of transmission lines and gas pipelines. In the second stage, the natural disasters are classified as surface natural disasters and geological natural disasters. According to the types of natural disasters, the demand management strategy includes semi-emergency demand management scheme and full-emergency demand management scheme in the electrical resilience mode and the integrated resilience mode, respectively. In the third stage, the non-sequential Monte-Carlo simulation and scenario reduction algorithm are applied to describe potential natural disaster scenarios. According to the importance ranking of transmission lines and gas pipelines, a demand management strategy is formulated. Finally, the proposed strategy is applied on an IEEE 33-bus power system and a 19-node natural gas system. Its effectiveness is verified by numerical case studies.

scholarly journals Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems

2019 ◽  
Vol 11 (15) ◽  
pp. 4048 ◽  
Author(s):  
Shixiong Qi ◽  
Xiuli Wang ◽  
Xue Li ◽  
Tao Qian ◽  
Qiwen Zhang
Keyword(s):  
Natural Gas ◽  
Energy Distribution ◽  
Management Strategy ◽  
Distribution Systems ◽  
Operation Mode ◽  
Energy Systems ◽  
Consensus Algorithm ◽  
Normal Operation ◽  
Hierarchical Management ◽  
Normal Operation Mode

The requirement for energy sustainability drives the development of integrated energy distribution systems (IEDSs). In this paper, considering the coordination of district multi-energy systems (DMESs), a hierarchical management strategy is proposed to enhance IEDS resilience. The proposed strategy is divided into three modes: the normal operation mode, the preventive operation mode and the resilient operation mode. In the normal operation mode, the objective of DEMSs is to minimize the operation costs. In the preventive operation mode, the objective of DEMSs is to maximize the stored energy for mitigating outage. The resilient operation mode consists of two stages. DMESs schedule their available resources and broadcast excess generation capacities or unserved loads to neighboring DMESs through the cyber communication network in the first stage. In the second stage, DMESs interchange electricity and natural gas with each other through the physical common bus for global optimization. A consensus algorithm was applied to determine the allocated proportions of exported or imported electricity and natural gas for each DMES in a distributed way. An IEDS including five DMESs was used as a test system. The results of the case studies demonstrate the effectiveness of the proposed hierarchical management strategy and algorithm.

scholarly journals Spatio-Temporal Modelling of the Change of Residential-Induced PM10 Pollution through Substitution of Coal with Natural Gas in Domestic Heating

2021 ◽  
Vol 13 (19) ◽  
pp. 10870
Author(s):  
Muzeyyen Anil Senyel Kurkcuoglu ◽  
Beyda Nur Zengin
Keyword(s):  
Air Pollution ◽  
Spatial Distribution ◽  
Particulate Matter ◽  
Natural Gas ◽  
Energy Distribution ◽  
Distribution Network ◽  
Geographical Information ◽  
Residential Heating ◽  
Urban Energy ◽  
The City

Air pollution has been one of the most critical urban problems. Urban energy networks are among the major sources of air pollution, particularly in highly populated urban areas. Residential heating, which is the primary cause of particulate matter (PM) emissions, contributes to the problem through the use of low-quality fuels, such as coal. Natural gas, although a fossil fuel, is a modern, relatively clean, and more efficient alternative in residential energy use, which helps to reduce particulate matter emissions. Coal was widely used in residential heating in İzmir, Turkey, whereas natural gas is a relatively new alternative which started to be used domestically in 2006. Switching from coal and other highly polluting fossil fuels to natural gas in urban energy distribution network has contributed to the alleviation of air pollution in the city in the past decade. Spatiotemporal analyses of the PM10 concentrations, and their relation to the natural gas investments, have been conducted in geographical information systems (GIS). The spatial distribution of the change in PM10 levels has been modeled with ordinary kriging for the 2010–2011 and 2018–2019 winter seasons. Interpolated PM10 surfaces show that there is a significant decrease in the emissions throughout the city in the overall, while the highest levels of decrease are observed in the southern part of the city. Overlaying the interpolated PM10 surfaces and the natural gas pipeline investments enables the demonstration of the mutual relationship between the change in emission levels and the energy distribution network. Indeed, the spatial distribution of the pollution concentrations appears to be parallel to the natural gas investments. The pipeline investments were intensive during the 2010–2018 period in the southern districts when compared the rest of the city. The use of natural gas in residential heating contributed to the decrease in PM10 emissions.

scholarly journals Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1020 ◽  
Author(s):  
Mohammad Jooshaki ◽  
Ali Abbaspour ◽  
Mahmud Fotuhi-Firuzabad ◽  
Moein Moeini-Aghtaie ◽  
Matti Lehtonen
Keyword(s):  
Natural Gas ◽  
Energy Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Mixed Integer ◽  
Electricity Distribution ◽  
Energy Hub ◽  
Carrier Energy ◽  
Expansion Model ◽  
Planning Problems

This paper focuses on expansion co-planning studies of natural gas and electricity distribution systems. The aim is to develop a mixed-integer linear programming (MILP) model for such problems to guarantee the finite convergence to optimality. To this end, at first the interconnection of electricity and natural gas networks at demand nodes is modelled by the concept of energy hub (EH). Then, mathematical model of expansion studies associated with the natural gas, electricity and EHs are extracted. The optimization models of these three expansion studies incorporate investment and operation costs. Based on these separate planning problems, which are all in the form of mixed-integer nonlinear programming (MINLP), joint expansion model of multi-carrier energy distribution system is attained and linearized to form a MILP optimization formulation. The presented optimization framework is illustratively applied to an energy distribution network and the results are discussed.

scholarly journals Distribution system power quality compensation using a HSeAPF based on SRF and SMC features

2021 ◽  
Author(s):  
Akram Qashou ◽  
Sufian Yousef ◽  
Abdallah A. Smadi ◽  
Amani A. AlOmari
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Sliding Mode ◽  
Distribution Network ◽  
Harmonic Distortion ◽  
Phase Locked Loop ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Non Linear

AbstractThe purpose of this paper is to describe the design of a Hybrid Series Active Power Filter (HSeAPF) system to improve the quality of power on three-phase power distribution grids. The system controls are comprise of Pulse Width Modulation (PWM) based on the Synchronous Reference Frame (SRF) theory, and supported by Phase Locked Loop (PLL) for generating the switching pulses to control a Voltage Source Converter (VSC). The DC link voltage is controlled by Non-Linear Sliding Mode Control (SMC) for faster response and to ensure that it is maintained at a constant value. When this voltage is compared with Proportional Integral (PI), then the improvements made can be shown. The function of HSeAPF control is to eliminate voltage fluctuations, voltage swell/sag, and prevent voltage/current harmonics are produced by both non-linear loads and small inverters connected to the distribution network. A digital Phase Locked Loop that generates frequencies and an oscillating phase-locked output signal controls the voltage. The results from the simulation indicate that the HSeAPF can effectively suppress the dynamic and harmonic reactive power compensation system. Also, the distribution network has a low Total Harmonic Distortion (< 5%), demonstrating that the designed system is efficient, which is an essential requirement when it comes to the IEEE-519 and IEC 61,000–3-6 standards.

scholarly journals Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Busra Uzum ◽  
Ahmet Onen ◽  
Hany M. Hasanien ◽  
S. M. Muyeen
Keyword(s):  
Solar Energy ◽  
Power Quality ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Distribution Network ◽  
System Stability ◽  
Solar Pv ◽  
Voltage Quality ◽  
Solution Methods ◽  
Pv Penetration

In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.

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