Multi-period multi-objective electricity generation expansion planning problem with Monte-Carlo simulation

2010 ◽  
Vol 80 (12) ◽  
pp. 1394-1405 ◽  
Author(s):  
Hatice Tekiner ◽  
David W. Coit ◽  
Frank A. Felder
2007 ◽  
Vol 22 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Samir Abass ◽  
Eman Massoud

In many power system problems, the use of optimization techniques has proved inductive to reducing the costs and losses of the system. A fuzzy multi-objective decision is used for solving power system problems. One of the most important issues in the field of power system engineering is the generation expansion planning problem. In this paper, we use the concepts of membership functions to define a fuzzy decision model for generating an optimal solution for this problem. Solutions obtained by the fuzzy decision theory are always efficient and constitute the best compromise. .


2017 ◽  
Vol 19 (1) ◽  
pp. 69-76
Author(s):  
Bundit Limmeechokchai ◽  
Somporn Tanatvan ◽  
Ram M. Shrestha

Traditionally, the method used in the electricity generation expansion planning has concentrated only on the supply-side options to identify the sequence of generation additions meet the forecasted demand at a minimum cost. Electricity generation expansion planning with both supply- and demand-side options, commonly known as integrated resource planning are also being used in some developed countries. With growing environmental concerns, especially the emission of air-pollutants from the power generation, demand-side management and clean and efficient generation technology options in the power sector development are getting increasing attention. In this paper, we compare the traditional planning approach with integrated resource planning. We also analyze the implications of CO2 reduction targets for the power sector development in the framework of supply side planning by including clean supply-side technologies as candidate plants. During the planning horizon, generation capacity of 365 MW and a cumulative electricity generation or 61,681 GWh would be avoided through the use of efficient demand-side technologies compared to the business-as-usual (BAU) case. When the clean supply-side options considered in the least-cost planning process, three units of 100-MW biomass-based plants are selected. The long run average cost of generation is found to increase by 0.32, 0.65 and 1.61% at the level of CO2 emission reduction target of 5, 10, and 20%, respectively.


Sign in / Sign up

Export Citation Format

Share Document