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    Item type:Publication,
    A co-optimization model of natural gas supply and electric power systems
    (2019-01-01)
    Nakawiro, Worawat
    In Thailand, natural gas has been the primary source of fuel for power generation for the past few decades due to availability of indigenous resources. With continuous load growth and near depletion of domestic natural gas supply, renewable energy will play an increasing role in power industry in a close future. To achieve that, energy storage would become the key enabler. Therefore, this paper proposes a co-optimization steady-state model of a -coupled system of gas supply network and electric power system with integration of an energy storage device namely power-to-gas. The IEEE-14 bus power system coupled with the 20-node and 24 pipeline natural gas system is used to verify effectiveness of the proposed method through computer simulation. The results show the capability in maintaining the system variables within the statutory security limits and reducing power losses. Moreover, the proposed method has another feature that can optimally curtail loads of the two systems when experiencing stressful conditions.
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    Predictive voltage control for a distribution network with renewable energy sources
    (2014-10-15)
    Nakawiro, Worawat
    This paper presents a predictive voltage control strategy for power distribution systems with renewable energy sources. A mixed-integer nonlinear programming problem was formulated and solved by genetic algorithm (GA). The on-load tap changer transformer and reactive power set point of wind and solar farms are determined. The day-ahead control horizon is considered and optimization is carried out at every hour. The wind and solar power are predicted by artificial neural network. The proposed methodology is implemented on a test distribution network to verify its effectiveness. It is demonstrated that the proposed method is capable of maintaining the system voltage close to the nominal as compared to the case of fixed control set-points.