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总量管制的碳排放权交易体系下,发电商在机组优化调度过程当中应将碳交易成本在模型中一并加以考虑.电力市场环境下,发电商还面临着电价不确定性带来的风险.借鉴风险价值和条件风险价值方法刻画电价风险,并定义鲁棒利润和条件鲁棒利润描述发电商的利润,提出考虑碳排放权交易和电价风险的发电商优化调度模型.借助蒙特卡罗方法模拟电价场景,将所建模型转化为混合整数二阶锥规划进行求解.通过10机24时段系统的算例仿真,验证了所建模型和求解方法的有效性.发电商可以利用该模型优化发电,平衡利润和风险,根据碳排放权价格的高低做出出售配额或购买配额策略.
Under the captive carbon emission trading system, the generator should take the carbon transaction cost into account in the process of unit optimal dispatching.In the electricity market, the generator also faces the risk brought by the uncertainty of electricity price .Describing the risk of electricity price by using the VaR and the conditional VaR, and defining the robust profit and the condition of the robust profit. Describing the profit of the power producer and putting forward the optimal dispatching model of the generator considering the carbon emission trading and the electricity price risk.Using Monte Carlo method Simulation of electricity price scenario, the model is converted into mixed integer second-order cone programming to solve.The validity of the proposed model and solution method is verified by an example simulation of a 10-machine 24-hour system.The generator can use this model to optimize Generate electricity, balance profits and risks, and make sales quotas or purchase quotas based on the price of carbon emission allowances.