scholarly journals Design of hybrid power generation systems connected to utility grid and natural gas distribution network

2018 ◽  
Vol 38 (2) ◽  
pp. 204-214
Author(s):  
Said Mekhamer ◽  
Almoataz Abdelaziz ◽  
Mostafa Algabalawy
Keyword(s):  
Power Generation ◽  
Natural Gas ◽  
Search Algorithm ◽  
Distribution Network ◽  
Optimization Techniques ◽  
Flower Pollination Algorithm ◽  
Gas Distribution ◽  
Operational Conditions ◽  
Hybrid Power ◽  
Utility Grid

Hybrid power generation system (HPGS) is an active research area, which is in need of a continuous improvement. It represents the best solution for the most complex problems facing the world in the last decades. These problems are known as the shortage of energy, or lack of electricity, which logically are the results of the continuous increasing demand. Therefore, the researchers do their best to overcome all expected roadblocks facing the development, where the most applicable solutions to solve these problems are introduced. In this paper, the HPGS includes; wind turbine (WT), photovoltaic (PV), storage battery (SB), gas turbine (GT), and utility grid (UG). The GT of this system is fueled directly from the natural gas distribution network considering all operational conditions of it, which may be affected by fueling the natural gas for the GT. So, the natural gas distribution network is becoming an important component of the HPGS, and it is included in the HPGS for the first time. Multi meta-heuristic optimization techniques are applied to obtain the components sizing of this system, where cuckoo search algorithm (CSA), firefly algorithm (FA), and flower pollination algorithm (FPA) have been applied. Therefore, this paper introduces a new contribution not only to the new configuration of the HPGS, but also in applying the new optimization techniques as solving tools. The output results are compared to show the effectiveness and the superiority of the applied techniques as well as extract a recommendation for the best solving technique.

SERVICEABILITY OF NATURAL GAS DISTRIBUTION NETWORKS AFTER EARTHQUAKES

2013 ◽  
Vol 07 (02) ◽  
pp. 1350005 ◽  
Author(s):  
GIAN PAOLO CIMELLARO ◽  
ALESSANDRO DE STEFANO ◽  
OMAR VILLA
Keyword(s):  
Natural Gas ◽  
Distribution Network ◽  
Distribution Networks ◽  
Small Towns ◽  
Disaster Resilience ◽  
Gas Distribution ◽  
Gas Network ◽  
Resilience Index ◽  
Entire Network

The concept of disaster resilience has received considerable attention in recent years and it is increasingly used as an approach for understanding the dynamics of natural disaster systems. No models are available in literature to measure the performance of natural gas network, therefore, in this paper, a new performance index measuring functionality of gas distribution network have been proposed to evaluate the resilience index of the entire network. It can be used for any type of natural or manmade hazard which might lead to the disruption of the system. The gas distribution network of the municipalities of Introdacqua and Sulmona, two small towns in the center of Italy which were affected by 2009 earthquake have been used as case study. Together the pipeline network covers an area of 136 km2, with 3 M/R stations and 16 regulation groups. The software SynerGEE has been used to simulate different scenario events. The numerical results showed that, during emergency, to ensure an acceptable delivery service, it is crucial to guarantee the functionality of the medium pressure gas distribution network. Instead to improve resilience of the entire network the best retrofit strategy is to include emergency shutoff valves along the pipes.

Cost saving allocation of horizontal cooperation in restructured natural gas distribution network

Kybernetes ◽  
2018 ◽  
Vol 47 (6) ◽  
pp. 1217-1241 ◽  
Author(s):  
Jafar Razmi ◽  
Anis Hassani ◽  
Ashkan Hafezalkotob
Keyword(s):  
Natural Gas ◽  
Cooperative Game ◽  
Distribution Network ◽  
Cost Savings ◽  
Gas Distribution ◽  
Content Type ◽  
Horizontal Cooperation ◽  
Gas Market ◽  
Yazd City ◽  
The Cost

Purpose Over the past two decades, in developed countries a trend towards the liberalization and restructuring of the gas market has been observed. Today, restructuring is an ongoing process. In this study, a restructured natural gas market has been considered in which several regional distribution companies have ownership of the network and are competing against each other to gain more benefits. The main purpose of this study is to achieve efficiency and economic rationality in such a market through horizontal cooperation. Design/methodology/approach A restructured natural gas distribution network is modeled as a cooperative game to estimate the potential cost savings for various collaboration scenarios. In addition, the cost savings’ allocation among collaborating companies is evaluated using the cooperative game theory. Findings The results reveal validity and efficiency of the solution of the proposed model and capabilities of the cooperative game theory for reduction in gas distribution costs and improvement in the service level. Research limitations/implications This study is limited to natural gas in one region of Yazd City in Iran. Moreover, one segment of the natural gas network (i.e. distribution network) is modeled. Moreover, long-term cooperation between companies relies on fair distribution of cooperation benefits to the participants. Practical implications For the purpose of comparison and to get an insight into properties of the cost savings game, the real case study of one region of Yazd city in Iran is implemented. Originality/value This study contributes to the competitive models in the restructured gas market, particularly, in gas distribution network. The main contribution is to provide potential benefits for the participants via the horizontal cooperation.

Design and Implementation of Tuning PID Controller using Modern Optimization Techniques for Micro-Robotics System

2021 ◽  
Vol 10 (11) ◽  
pp. 51-68
Author(s):  
Ehab S. Ghith ◽  
◽  
Mohamed Sallam ◽  
Islam S. M. Khalil ◽  
Mohamed Youssef Serry ◽  
...  
Keyword(s):  
Steady State ◽  
Optimization Problems ◽  
Model Simulation ◽  
Search Algorithm ◽  
Optimal Parameter ◽  
Fitness Function ◽  
Optimization Techniques ◽  
Control Technique ◽  
Pid Controllers ◽  
Flower Pollination Algorithm

One of the main difficult tasks in the field of micro-robotics is the process of the selection of the optimal parameters for the PID controllers. Some methods existed to solve this task and the common method used was the Ziegler and Nichols. The former method require an accurate mathematical model. This method is beneficial in linear systems, however, if the system becomes more complex or non-linear the method cannot produce accurate values to the parameters of the system. A solution proposed for this problem recently is the application of optimization techniques. There are various optimization techniques can be used to solve various optimization problems. In this paper, several optimization methods are applied to compute the optimal parameter of PID controllers. These methods are flower pollination algorithm (FPA), grey wolf optimization (GWO), sin cosine algorithm (SCA), slime mould algorithm (SMA), and sparrow search algorithm (SSA). The fitness function applied in the former optimization techniques is the integral square Time multiplied square Error (ISTES) as the performance index measure. The fitness function provides minimal rise time, minimal settling time, fast response, and no overshoot, Steady state error equal to zero, a very low transient response and a non-oscillating steady state response with excellent stabilization. The effectiveness of the proposed SSA-based controller was verified by comparisons made with FPA, GWO, SCA, SMA controllers in terms of time and frequency response. Each control technique will be applied to the identified model (simulation results) using MATLAB Simulink and the laboratory setup (experimental results) using LABVIEW software. Finally, the SSA showed the highest performance in time and frequency responses.

Real-Time Implementation for Tuning PID Controller Based on Advanced Optimization Techniques for Micro-Robotics System

2021 ◽  
Vol 10 (6) ◽  
pp. 161-173
Author(s):  
Ehab S. Ghith ◽  
◽  
Mohamed Sallam ◽  
Islam S. M. Khalil ◽  
Mohamed Serry ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Pid Controller ◽  
Model Simulation ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Control Technique ◽  
Flower Pollination Algorithm ◽  
Labview Software ◽  
Laboratory Setup ◽  
Sine Cosine Algorithm

The process of tuning the PID controller’s parameters is considered to be a difficult task. Several approaches were developed in the past known as conventional methods. One of these methods is the Ziegler and Nichols that relies on accurate mathematical model of the linear system, but if the system is complex the former method fails to compute the parameters of PID controller. To overcome this problem, recently there exist several techniques based on artificial intelligence such as optimization techniques. The optimization techniques does not require any mathematical model and they are considered to be easy to implement on any system even if it complex, can reach optimal solutions on the parameters. In this study, a new approach to control the position of the micro-robotics system proportional - integral - derivative (PID) controller is designed and a recently developed algorithm based on optimization is known as the sparrow search algorithm (SSA). By using the sparrow search algorithm (SSA), the optimal PID controller parameters were obtained by minimizing a new objective function, which consists of the integral square Time multiplied square Error (ISTES) performance index. The effectiveness of the proposed SSA-based controller was verified by comparisons made with the Sine Cosine algorithm (SCA), and Flower pollination algorithm (FPA) controllers in terms of time and frequency response. Each control technique will be applied to the identified model (simulation results) using MATLAB Simulink and the laboratory setup (experimental results) using LABVIEW software. Finally, the SSA showed the highest performance in time and frequency responses.

Problems of Restructurisation and Renewal of Old Gas Distribution Network in Wroclaw

1996 ◽  
Author(s):  
Jan Rygier
Keyword(s):  
Natural Gas ◽  
Rapid Growth ◽  
Distribution Network ◽  
Gas Pipelines ◽  
Gas Distribution ◽  
Changing Environment ◽  
The City ◽  
Urgent Necessity

Changing environment, growing demand for gas for heating, and shut down of old gas plant, cause necessity of restructurisation of the old gas distribution network in the city. Aging distribution network, replacement of manufactured gas by natural gas and rapid growth in number of leaks cause urgent necessity of replacement and rehabilitation of the old gas pipelines. Modern materials and technologies have enabled rehabilitation gas pipelines in the narrow busy streets of the city.

scholarly journals A Gas Distribution Network Hydraulic Problem from Practice

2017 ◽  
Author(s):  
D. Brikić
Keyword(s):  
Natural Gas ◽  
Friction Factor ◽  
Gas Flow ◽  
Optimization Problem ◽  
Distribution Network ◽  
Gas Distribution ◽  
Pipeline Network ◽  
Hardy Cross ◽  
Selection Of

Accent is on determination of appropriate friction factor, and on selection of representative equation for natural gas flow under presented conditions in the network. Calculation of presented looped gas-pipeline network is done according to principles of Hardy Cross method. The final flows were calculated, for known pipes diameters and nodes consumptions while the flow velocities through pipes have to stand below certain values. In optimization problem flows are treated as constant, while the diameters are variables.

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