计及碳排放的综合能源配网日前与日内多时间尺度优化调度

为了降低碳排放量，提高新能源的消纳能力，考虑可削减、可转移、可替代3种需求侧响应负荷，计及碳交易机制，构建以碳排放量最少、综合运行成本最低、弃风弃光量最少、网络损耗最低为综合优化目标的风-光-电-气-储综合能源配网系统日前优化调度模型。以风电、光伏发电预测误差波动最小为日内优化调度优化目标，采用模型预测控制理论对风电、光伏的预测误差量进行反馈矫正，构建综合能源配网系统日内滚动优化调度模型。在修正的33节点配电网和20节点配气网组成的配网系统上进行仿真实验，验证了所提模型能够有效地降低碳排放量，提高风电、光伏的消纳能力，平滑负荷曲线，降低系统的综合运行费用。

Optimization of day-ahead and intra-day multi-time scale scheduling for integrated power-gas energy system considering carbon emission

In order to reduce carbon emissions and improve the absorption capacity of new energy, this paper considers three kinds of demand-side response loads that can be reduced, transferred and replaced. Then, including a carbon trading mechanism, a day-ahead optimization scheduling model of wind-opto-electric-gas-storage integrated energy distribution network system is established with the comprehensive optimization objectives of the least carbon emission, the lowest comprehensive operation cost, the least amount of wind and light abandoning and the lowest network loss. To minimize the fluctuation of wind power and photovoltaic power generation prediction error, model predictive control theory is used to feed back and correct the prediction error of wind and photovoltaic power generation, and an intra-day rolling optimization scheduling model of an integrated energy distribution network system is established. Simulation experiments on the modified 33-node and 20-node distribution networks have verified that the proposed model could effectively reduce carbon emissions, improve the absorption capacity of wind power and photovoltaic, smooth the load curve, and reduce the comprehensive operating cost of the system.

The work is supported by the Key Research and Development Program of Science and Technology Department of Sichuan Province (No. 2017GZ0054).