Raksanai Nidhiritdhikrai

Reserve margin evaluation for generation system using probabilistic based method

Reserve margin is one of the generation system reliability indices which should be appropriately defined. Too high reserve margin causes over-investment in generation system whereas too low reserve margin may result in unacceptable generation risk. This paper proposes method to calculate the value of appropriate reserve margin based on probabilistic method using a reliability index, i.e. Loss of Load Expectation (LOLE). Three generic capacities, i.e. 250, 500, and 750 MW, are used and tested with a modified Thailand system to obtain a range of appropriate reserve margin.

Loss assessment in a low-voltage distribution system

Accurate assessment of power loss in a low-voltage distribution system is still an important issue under present competitive environment. Even though, power flow analysis is still efficient to calculate technical power loss, it requires numerous data which may not be available for some utilities. For this reason, the loss assessment for a low-voltage distribution system is not easy when the demand of any customer load points is still unclear. Therefore, distribution utilities obviously require a more suitable algorithm with their available information to calculate their system power loss. This paper proposes an alternative algorithm to crop with this problem. The proposed approach has been tested with an actual system, a low-voltage distribution system with 16 customer load points. It is found that the proposed method can provide satisfactory results.

Low Carbon Scenario for Thailand Power Sector

The objective of this study is to explore the picture of low carbon scenario focusing on Thailand power sector. Impact of related key factors on the emitted greenhouse gases have been evaluated quantitatively, e.g. economic and industrial restructuring, building code upgrading, and fuel switching for power generation. The reference scenario is initially created on the basis of the existing national plan. An alternative scenario of low carbon growth with the additional mitigation options have been comparatively simulated. The results indicate that the existing plan may not lead to the concept of low carbon growth. The proposed mitigation option in the LCS scenario is resulting in the saturated level of greenhouse gases emission in power sector. The emitted GHG can be possibly delinked apart from the growing of economic activities in the emerging country like Thailand.

Potential Study of Electricity Generation 1000 MW with Biogas in Thailand

Thailand, electricity production form biogas has been interested for replacement nuclear and fossil power plants. Current status of electricity production from biogas is 155 MWe, and more potential of current capacity is 380 MWe. Additional, energy crops have a potential for another source of biogas. For this study, electricity production to 1000 MW was determined. Napier grass was considered, high growth rate and high production yield. Napier grass 190,000 acre can produce 1000 MW electricity. And economic analysis of electricity production 1 MW was studied, these results show that biogas for electricity 1MW power plant project is not economic under current condition in Thailand.