scholarly journals Power Grid Construction Project Portfolio Optimization Based on Bi-level programming model

2017 ◽  
Vol 81 ◽  
pp. 012186
Author(s):  
Erdong Zhao ◽  
Shangqi Li
Keyword(s):  
Portfolio Optimization ◽  
Programming Model ◽  
Power Grid ◽  
Construction Project ◽  
Project Portfolio ◽  
Grid Construction

scholarly journals Construction of Risk Evaluation Index System for Power Grid Engineering Cost by Applying WBS-RBS and Membership Degree Methods

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jiao Wang
Keyword(s):  
Index System ◽  
Risk Evaluation ◽  
Power Grid ◽  
Construction Project ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Membership Degree ◽  
Grid Construction ◽  
Engineering Cost ◽  
Cost Risk

Based on the perspective of cost risk management of the entire process of power grid construction project, the WBS-RBS risk identification method is applied. The risk factors of power grid engineering cost are comprehensively identified from the five major engineering cost formation stages: investment decision estimate stage, design estimate stage, bidding price stage, construction budget stage, and final account stage. Combined with the basic data obtained from the questionnaire, the membership degree method is adopted to screen the key indicators of the preliminary factors of cost risk and then eliminate the redundant indicators. Furthermore, a set of simple and efficient risk evaluation index system for power grid engineering cost is constructed in order to improve the risk evaluation and management level of power grid construction project in China.

The Calculation Method of Basic Reserve Fund in Power Grid Construction Project: A Case Study from China

2014 ◽  
Vol 584-586 ◽  
pp. 2659-2663
Author(s):  
Xue Liang Hou ◽  
Ying Rong Yang ◽  
Yue Li
Keyword(s):  
Calculation Method ◽  
Power Grid ◽  
Construction Project ◽  
Influence Factors ◽  
Measuring Method ◽  
Calculation Model ◽  
Distribution Fitting ◽  
Fixed Rate ◽  
Grid Construction ◽  
Reserve Fund

This paper studied the calculation method of basic reserve fund (BRF) based on distribution fitting and Monte Carlo Simulation (MCS) in power grid construction project (PGCP). BRF copes with the various unforeseen expenses in the process of budget compilation. Nowadays, the measuring method with fixed rate cannot adapt to the request, because of the BRF with larger uncertainty influence factors. MCS technique can achieve a good simulation to solve the problem of uncertainty. The research first uses MINITAB to analysis the distribution of various influence factors, then uses MATLAB to build calculation model to take the stochastic simulation for many times, finally gets a more realistic BRF. A case from China is used to confirm this calculation method works well.

Power Grid Construction Project Cost Risk Factors Analysis Based on the Fishbone Diagram Theory

2012 ◽  
Vol 622-623 ◽  
pp. 1852-1855 ◽  
Author(s):  
Dong Xiao Niu ◽  
Huan Huan Qiao ◽  
Hui Juan Zhai ◽  
Xin Lu
Keyword(s):  
Risk Factors ◽  
Construction Projects ◽  
Power Grid ◽  
Construction Project ◽  
Study Phase ◽  
Evaluation Phase ◽  
Fishbone Diagram ◽  
Grid Construction ◽  
Construction Project Cost ◽  
Cost Risk

Combined with the characteristics of the power grid construction projects, based on the fishbone diagram theory, the paper gradually identifies the cost risk factors in power grid construction projects according to the project construction process of project decision-making and feasibility study phase, design and bidding phase, construction phase,and completion of final accounts and summary evaluation phase. The study provides a certain amount of reference for power grid construction project risk management and controlling grid construction costs.

scholarly journals Quantitative approach to project portfolio management: proposal for Slovak companies

2019 ◽  
Vol 10 (4) ◽  
pp. 797-814 ◽  
Author(s):  
Pavol Kral ◽  
Viera Valjaskova ◽  
Katarina Janoskova
Keyword(s):  
Mathematical Model ◽  
Integer Programming ◽  
Portfolio Optimization ◽  
Portfolio Management ◽  
Questionnaire Survey ◽  
Programming Model ◽  
Value Added ◽  
Point Of View ◽  
Project Portfolio ◽  
Strategic Objectives

Research background: Project portfolio optimization isa  demanding process in the case of considering a large number of project intentions and has so far been the subject of research by many authors, especially foreign authors. However, the issue of project portfolio optimization is an area that is not sufficiently addressed by Slovak authors. This was the main impulse to create a specific mathematical model of integer programming with bivalent variables to optimize the company's project portfolio with the intention to reflect the specific requirements of Slovak companies. Purpose of the article: The aim of the article is to propose a mathematical model of integer programming with bivalent variables to optimize the project portfolio with a focus on Slovak companies. Methods: In accordance with the aim of the article, a questionnaire survey was carried out with the intention of identifying the criteria that are perceived by the managers of Slovak companies as important in the optimization of the project portfolio. These criteria were subsequently reflected in the mathematical model design using the mathematical programming method. Findings & Value added: Based on a literature review aimed at the project portfolio optimization, we have found a gap in considering the compliance of project intentions and strategic objectives of the company within the optimization of the project portfolio. Based on the results of the questionnaire survey, the significance of the mutual compliance of project intentions with the strategic objectives of the company was confirmed from the point of view of Slovak companies. Given the fact that our aim was to create an innovative integer programming model with bivalent variables orientated to the conditions of Slovak companies, we included in the resulting model the criteria that were not considered within the scope of existing research in this area, and which are perceived as important by the Slovak companies.

scholarly journals Optimal Investment Decision of Distribution Network With Investment Ability and Project Correlation Constraints

2021 ◽  
Vol 9 ◽  
Author(s):  
Jianping Yang ◽  
Yue Xiang ◽  
Zeqi Wang ◽  
Jiakun Dai ◽  
Yanliang Wang
Keyword(s):  
Portfolio Optimization ◽  
Power Grid ◽  
Distribution Network ◽  
Regional Distribution ◽  
Weak Links ◽  
Investment Efficiency ◽  
Project Portfolio ◽  
Dynamic Adjustment ◽  
Investment Projects ◽  
Benefit Evaluation

Power grid enterprises are faced with a serious mismatch between limited investment capacity and numerous investment projects. How to accurately match the weak links with investment projects according to the power system diagnosis is the key to improve investment accuracy. On the basis of an investment-oriented label, a project portfolio optimization framework with coherent diagnosis–evaluation–optimization is proposed in this study. First, a two-layer index system for investment benefit evaluation is established, which considers unit investment efficiency and macroinvestment benefit. Second, by weighing the diagnosis results of power grid and the biased investment environment, the benefit evaluation of the project is implemented as the basis of project portfolio optimization. To meet different investment demands, two combination optimization models of maximizing investment benefit and minimizing investment cost are established considering the coupling benefit relationship and time series relationship between projects. Finally, a case study is conducted for a regional distribution network. The proposed framework has been proven to be able to effectively cope with different investment needs and realize the dynamic adjustment of the scheme in the whole investment cycle.

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