考虑储能共享的风光储集群联合优化运行及竞标策略

Joint Optimal Operation and Bidding Strategy of Scenic Reservoir Group Considering Energy Storage Sharing

在电力市场和低碳经济背景下,为增强新能源电站间的时空互补能力,提高自配储能利用率,建立了考虑储能共享的风光储集群联合优化运行及竞标策略模型。首先,基于新能源电站的互补特性,设计了考虑储能共享的风光储集群联合运行机制,并分析了风光储协同运行机理;其次,考虑以市场手段促进新能源消纳,建立风光电站参与日前能量市场,自配储能及共享储能为其提供平衡波动备用容量的市场收益模型;在此基础上,考虑电价及风光出力的不确定性,提出风光储集群联合竞标策略,以实现风光储集群利益最大化;最后,利用改进的粒子群优化算法求解联合竞标及协同运行模型。仿真结果表明,所提策略能够有效提高自配储能利用率,增加风光储集群收益,对新能源的市场消纳起到积极作用。

Under the background of power market and low-carbon economy,in order to enhance the space-time complementarity between new energy power stations and improve the utilization rate of self-contained energy storage,the joint optimal operation and bidding strategy model of wind-solar reservoir group considering energy storage sharing is established.Firstly,based on the complementary characteristics of new energy power stations,the joint operation mechanism of wind-solar reservoirs considering energy storage sharing is designed,and the cooperative operation mechanism of wind-solar reservoirs is analyzed.Secondly,considering the market means to promote new energy consumption,the market revenue model of wind and solar power stations participating in the day-ahead energy market,self-contained energy storage and shared energy storage providing balanced fluctuation reserve capacity is established.On this basis,considering the uncertainty of electricity price and wind-solar output,a joint bidding strategy for wind-solar reservoir group is proposed to maximize the benefits of wind-solar reservoir group.Finally,the improved particle swarm optimization algorithm is used to solve the joint bidding and cooperative operation model.The simulation results show that the strategy proposed in this paper can effectively improve the utilization rate of self-provided energy storage,increase the income of wind-solar storage group,and play a positive role in the market consumption of new energy.