Sustainable development enhanced in the decision process of electricity generation expansion planning

2018 ◽  
Vol 123 ◽  
pp. 563-577 ◽  
Author(s):  
Gracieli Sartório Cardoso de Lima ◽  
Elaine Coelho Lopes ◽  
Juliana Gutierrez Motta ◽  
Roberto Asano ◽  
María Valverde ◽  
...  
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.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2492
Author(s):  
Xiangyu Kong ◽  
Jingtao Yao ◽  
Zhijun E ◽  
Xin Wang

In generation expansion planning, sustainable generation expansion planning is gaining more and more attention. Based on the comprehensive consideration of generation expansion planning economics, technology, environment, and other fields, this paper analyzes the sustainable development of power supply planning evaluation indicators and builds a multi-objective generation expansion planning decision model considering sustainable development. According to the target variables in the model, the variables such as attribute variables are divided into different subsets, and the logical relationship analysis method between different nodes is obtained based on Dynamic Bayesian network theory, which reduces the complexity of the planning model problem. The application examples show the feasibility and effectiveness of the proposed model and the solution method.


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