计及用户行为的电—气—热综合能源系统日前经济调度

Day-ahead Economical Dispatch of Electricity-Gas-Heat Integrated Energy System Considering User Behaviors

针对电转气(P2G)设备接入的综合能源系统电、热负荷比例受到用户行为影响的问题,构建了计及用户行为的电-气-热综合能源系统两阶段日前经济调度模型。该模型以各时段实际预测负荷与目标负荷偏差之和最小和日负荷整体波动性最小为第一阶段优化目标,应用CPLEX求解器确定负荷响应下的电热负荷曲线;基于第一阶段确定的负荷,以系统综合采购费用最低为第二阶段优化目标,利用人群搜索者优化算法对该非线性优化问题进行求解。仿真算例设置了4个场景,对P2G、储能设备接入容量大小与系统经济性间的关系进行了定量和定性分析,验证了所提模型在风电消纳、系统经济运行方面的有效性。

The ratio of electric and thermal load in the integrated energy system with access of power-to-gas (P2G) equipment is affected by user behaviors.So this paper develops a two-stage day-ahead economical dispatch model of the electricity-gas-heat integrated energy system considering user behaviors.In this model,the minimum deviation between actual forecasting load and target load and the minimum volatility of daily load are taken as the optimization goals of the first stage.Then the electric and thermal load curve under load response is obtained in CPLEX solver.Based on the load obtained in the first stage,the lowest integrated purchasing cost is taken as the optimization goal of the second stage.The seeker optimization algorithm (SOA) is used to solve this nonlinear optimization problem.The quantitative and qualitative analysis of the relationship between the capacity of P2G and energy storage device and the system economy is carried out in four scenarios.The effectiveness of the proposed model is verified in terms of wind power accommodation and system economic operation.