计及发电权交易和碳交易的含风电电力系统低碳经济调度研究

Study on Low Carbon Economic Dispatch of Wind Power System Considering Generation Rights Trading and Carbon Trading

摘要: 低碳经济是未来电力调度的发展方向，风电等清洁能源的引入能够缓解化石能源枯竭、减缓环境恶化，促进电力行业低碳化发展。风电出力具有间歇性和随机性的特点。为应对此特点，在风电成本中引入风电场盈余惩罚成本和备用惩罚成本，在常规机组发电成本中引入阀点效应成本和启停成本。发电权交易是电力行业特有的交易类型，具有节能减排的作用，因此在碳交易中融入了发电权交易，考虑碳交易和发电权交易的综合作用。综上，本文提出了一种兼顾低碳性和经济性的优化调度模型，并采用了细菌群体趋药性算法进行优化求解，通过算例验证了该新型调度模型的有效性。

Abstract: Low carbon economy is the future direction of power dispatching, the introduction of wind power and other clean energy can ease fossil energy depletion, slow down environmental degradation, and promote the low-carbon development of the power industry. The output of wind power has the characteristics of intermittence and randomness. In view of this characteristic, the cost of wind farm surplus penalty and the reserve penalty cost are introduced into the cost of wind power, and the point effect cost and start stop cost are introduced into the generation cost of conventional unit. Power generation trading is a unique type of transaction in the power industry, and has the function of energy saving and emission reduction. Therefore, the power generation transaction is integrated into the power generation transaction in the carbon trading, taking into account the combined effects of carbon trading and power generation trading. In summary, this paper proposes a scheduling model of low carbon balance and economy, and the use of bacterial colony chemotaxis algorithm is used to verify the effectiveness of the new scheduling model.