TY - GEN
T1 - The electric power source structure optimization based on capital investment efficiency
AU - Tang, Lei
AU - Wang, Xifan
AU - Dang, Can
AU - Teng, Weijun
AU - Liu, Shenquan
AU - Sun, Pengwei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/19
Y1 - 2016/10/19
N2 - In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.
AB - In this paper, a novel electric power source structure optimization (EPSSO) scheme is proposed to achieve the sustainable development objectives of economic growth, electricity demand and environmental protection. Different from power generation expansion planning (PGEP), the proposed EPSSO method evaluates the optimal investment scheme for a long-term power generation expansion from the viewpoints of macro-economy. By adjusting the proportion of renewable power generating units at a more appropriate time, it can promote the efficiency of national capital with the constraint of CO2 emissions. The basic idea of this method is to combine the conventional objective function with the capital efficiency which is often used as a repressor of economic growth. At last, the genetic algorithm (GA) is used to solve the highly nonlinear combinatorial problem of EPSSO and a numerical case is present to demonstrate the feasibility of this scheme based on the background of China.
KW - electric power source structure optimization
KW - genetic algorithm
KW - investment-output ratio
KW - macro-economics
KW - power generation expansion planning
UR - https://www.scopus.com/pages/publications/84997079989
U2 - 10.1109/ICIEA.2016.7603840
DO - 10.1109/ICIEA.2016.7603840
M3 - 会议稿件
AN - SCOPUS:84997079989
T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
SP - 1596
EP - 1600
BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Y2 - 5 June 2016 through 7 June 2016
ER -
