高比例清洁能源渗透下的能量枢纽两阶段优化调度策略

Two-stage Optimal Dispatch Strategy for Energy Hub with High Proportion Clean Energy Penetration

大规模清洁能源出力的随机性和波动性导致其并网困难,弃风、弃水问题日益突出,传统促进清洁能源高效利用方式常以牺牲系统经济效益为代价,并且往往调节容量有限,难以保证高比例清洁能源调节需求。基于此,文章在输电网层面构建利用多种能源优势互补的清洁能源高占比下的风-水-气协同运行的能量枢纽,并制定了能量枢纽日前-实时两阶段优化调度策略,以消除弃风、弃水给能量枢纽经济效益带来的不利影响;然后通过线性化处理建立混合整数线性规划模型,并采用YALMIP/CPLEX求解器进行模型求解。算例结果表明,两阶段调度优化策略能够有效提高清洁能源利用效率,降低系统运行成本,是解决可再生能源消纳问题的有效途径。

The randomness and volatility of large-scale clean energy output have made it difficult to connect to the grid,and the problem of wind and water abandonment has become increasingly prominent. Traditional ways to promote the efficient use of clean energy often come at the expense of system economic benefits,and often have limited capacity adjustments,making it difficult to ensure a high proportion of clean energy regulation needs. On this basis,we consider the construction of an energy hub that uses wind-water-gas coordinated operation with a high proportion of clean energy sources with complementary energy sources in the transmission network,and develops a two-stage optimization dispatch strategy, which including day-ahead stage and real-time stage,for energy hub to eliminate the adverse effects of abandoning wind and abandoning water on the economic benefits of energy hubs. A mixed integer linear programming model by linearization is formed and then solved with YALMIP/CPLEX solver. The results of the example show that the two-stage dispatch optimization strategy can effectively improve the efficiency of clean energy utilization and reduce the operating cost of the system.