Affiliation:
1. CEC Technical & Economic Consulting Center of Power Construction, Electric Power Development Research Institute Co., Ltd., Beijing 100053, China
2. School of Economics and Management, North China Electric Power University, Beijing 102206, China
Abstract
Power-grid investment (PGI) optimization is crucial for boosting investment performance, lowering investment risks, and assuring the sustainable development of power-grid businesses. However, existing studies, which primarily concentrate on financial aspects, have not adequately considered the risk and benefit factors in the process of PGI. In this context, this research suggests a novel hybrid PGI optimization model that collaboratively accounts for the risks and benefits. In the first step, risk and benefit indicator systems for PGI are built, and a comprehensive evaluation model based on the Bayesian best–worst method and TOPSIS is suggested. In the second stage, a PGI optimization model considering the investment amount, power demand, and low-carbon restrictions is further developed based on the evaluation results. Furthermore, the incomprehensible but intelligible-in-time logic algorithm is adopted to solve the problem. By conducting an empirical analysis of ten projects within a power-grid company, the optimal investment plan and a differentiated investment portfolio strategy are obtained by adjusting the key elements.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference63 articles.
1. Uncertainty shocks and monetary policy: Evidence from the troika of China’s economy;Hu;Econ. Res.-Ekon. Istraživanja,2022
2. Stochastic assessment of investment efficiency in a power system;Davidov;Energy,2017
3. Niu, D., Li, Y., Dai, S., Kang, H., Xue, Z., Jin, X., and Song, Y. (2018). Sustainability Evaluation of Power Grid Construction Projects Using Improved TOPSIS and Least Square Support Vector Machine with Modified Fly Optimization Algorithm. Sustainability, 10.
4. Investment planning to minimize climate risk in agricultural production: An optimization model for a semi-arid region in India;Pal;Clim. Policy,2021
5. Capacity investment and the value of operational flexibility in manufacturing systems with product blending;Kulkarni;Int. J. Prod. Res.,2018