An investment optimization model for a distribution network project considering carbon emission

2021 ◽  
Author(s):  
Min Yu ◽  
Shuyan Zhang ◽  
M.A. Salam ◽  
Fuyan Liu ◽  
Xiaoyong Yang
2012 ◽  
Vol 516-517 ◽  
pp. 1503-1507
Author(s):  
Gui Hua Yuan ◽  
Lin Li ◽  
Jun Li ◽  
Zhi Jian Hu ◽  
Xiao Bo Li ◽  
...  

High voltage distribution network is an important link between transmission and middle voltage distribution network. If a high voltage distribution network fault occurs, the economy and reliability of the whole city distribution system will be seriously affected. To solve this problem, a traditional reconstruction optimization model is improved and a 2-staged reconstruction optimization model is proposed based on an improved particle swarm optimization (PSO) algorithm. The first stage reconstruction only considers the economic goal and the second stage reconstruction needs consider the boundary constrains. The 2-staged method considers the economic benefit and the voltage quality simultaneously. It can achieve the multi goals: meeting actual boundary operation conditions, optimizing the combination of network losses and the number of operation switching. The fault isolation and reconfiguration of an actual distribution network system in Dezhou power grid were simulated. Simulation results validate the rationality and feasibility of the proposed method


Water ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 579 ◽  
Author(s):  
Oluwaseye Adedoja ◽  
Yskandar Hamam ◽  
Baset Khalaf ◽  
Rotimi Sadiku

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2830 ◽  
Author(s):  
Chang Ye ◽  
Shihong Miao ◽  
Yaowang Li ◽  
Chao Li ◽  
Lixing Li

This paper presents a hierarchical multi-stage scheduling scheme for the AC/DC hybrid active distribution network (ADN). The load regulation center (LRC) is considered in the developed scheduling strategy, as well as the AC and DC sub-network operators. They are taken to be different stakeholders. To coordinate the interests of all stakeholders, a two-level optimization model is established. The flexible loads are dispatched by LRC in the upper-level optimization model, the objective of which is minimizing the loss of the entire distribution network. The lower-level optimization is divided into two sub-optimal models, and they are carried out to minimize the operating costs of the AC/DC sub-network operators respectively. This two-level model avoids the difficulty of solving multi-objective optimization and can clarify the role of various stakeholders in the system scheduling. To solve the model effectively, a discrete wind-driven optimization (DWDO) algorithm is proposed. Then, considering the combination of the proposed DWDO algorithm and the YALMIP toolbox, a hierarchical optimization algorithm (HOA) is developed. The HOA can obtain the overall optimization result of the system through the iterative optimization of the upper and lower levels. Finally, the simulation results verify the effectiveness of the proposed scheduling scheme.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Atul Rawat ◽  
Sumeet Gupta ◽  
T. Joji Rao

Purpose This study aims to identify and rank the operational and financial risks causing a delay in the commencement of the city gas distribution project in India. Design/methodology/approach This study reviews the literature to identify operational and financial risks variables associated with infrastructure projects. Followed by a survey to isolate and assess the critical risk factors for city gas distribution network project in India. The survey data is evaluated using factor analysis to understand the latent structure of the critical risk factors. Second, the author ranks the identified variables as per significance by using the mean score method. Findings Five critical risk factors with 20 variables were extracted and assessed to build more understanding of their significance and impact on city gas distribution network project. Originality/value This study is the first attempt to follow the management approach to identify and rank operational and financial risks impacting city gas distribution project.


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