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Power system optimal dispatch under low-carbon economy with significant photovoltaic generation

机译：具有大量光伏发电的低碳经济下的电力系统优化调度

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摘要

Photovoltaic (PV) generation does not produce CO emissions during operations. Developing PV generation is an effective way of developing a low-carbon electricity system. However, PV power output has the stochastic nature. It brings uncertainty to traditional power system dispatch problems. Based on the concept of low-carbon economy, this paper introduces carbon trading mechanism into power system dispatch first. Then, a probability distribution model of solar irradiance and PV power output is established, and risk reserve based on chance constrained programming is used to deal with the stochastic nature of PV power output. On this basis, an optimal dispatch model under low-carbon economy with significant PV generation is proposed. With the system generation cost, carbon trading cost and load shedding penalty incorporated in the objective function, the model proposed can effectively evaluate the power dispatch problem under low-carbon economy with significant PV generation. Finally, a 10-unit test system is simulated by applying the proposed model.
机译：光伏（PV）生成在操作过程中不会产生CO排放。发展光伏发电是发展低碳电力系统的有效途径。但是，PV功率输出具有随机性。这给传统的电力系统调度问题带来了不确定性。基于低碳经济的概念，本文首先将碳交易机制引入电力系统调度中。然后，建立了太阳辐照度和光伏发电量的概率分布模型，并利用基于机会约束规划的风险储备来应对光伏发电量的随机性。在此基础上，提出了低碳经济下光伏发电量较大的最优调度模型。通过将系统发电成本，碳交易成本和减负荷惩罚纳入目标函数，所提出的模型可以有效地评估具有大量PV发电的低碳经济条件下的电力调度问题。最后，通过应用所提出的模型对一个10个单元的测试系统进行了仿真。

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