虚拟电能交易驱动的光储聚合商容量优化配置

近年来,在双碳目标、新型电力系统的背景下,近乎零边际发电成本的分布式清洁能源装机得到迅速发展。然而,如何研究含分布式清洁能源“产消者”之间能源交易机制及这种交易行为对规划的影响面临重要挑战。针对含光伏和储能的光储聚合商之间交易行为影响,提出了一种基于虚拟电能交易驱动的光储容量优化配置方法。首先,以光储聚合商效益函数为基础,构建了光储聚合商之间的电力交易协商过程与撮合机制,以产生电能定价并模拟一定容量配置下系统优化运行状态;其次,考虑多个聚合商分散交易行为对容量配置的影响,建立考虑虚拟交易影响的光储聚合商容量优化配置模型,该模型将交易行为的影响以交易成本的形式融入运行构成,以光储容量配置成本与运行成本最小为目标函数,通过交易规划约束保证系统的安全性;最后,仿真结果发现：本文提出的光储聚合商效益函数能够指导光储聚合商之间的交易定价行为,模拟分散交易,电能的价格和负荷水平受到储能与光伏容量配置的影响;通过考虑交易定价机制对光储容量配置的影响与优化引导效果,得到了聚合商经济性最优的容量配置方案,满足负荷正常消耗并避免了储能规划投资上的浪费。本文为含可交易能源的光储聚合商交易层面提供了定价策略,为考虑分布式清洁能源交易影响的光储容量优化配置方法提供了有效一定参考。

Virtual Energy Transaction Based Optimal Capacity Configuration of Photovoltaic-storage Aggregated Power Systems

In order to study the energy trading mechanism among the "prosumers" with distributed clean energy and the impact of such transaction behavior on the planning level for photovoltaic-storage aggregated energy systems, an optimal planning method for the capacity of photovoltaic and energy storage considered the impact of virtual electricity transaction mechanism was proposed. First, aiming to generate electricity pricing and simulate the optimal operation state under a certain capacity configuration, a benefit function of photovoltaic-storage aggregated energy system and a negotiation and matching mechanism for electricity transaction between aggregators were established. Second, considering the impact of decentralized transaction behavior of aggregators on capacity planning, an optimal capacity planning model of photovoltaic-storage aggregated energy systems considering the impact of virtual electricity transaction was proposed. Transaction cost was added in the operation level to integrate the impact of transaction behavior into the model, and the minimum cost of capacity planning and operation was taken as the objective function, and the transaction and planning constraints were accounted for the security of the systems. Finally, the simulation results show that: the transaction and pricing behavior between aggregators can be guided by the benefit function of photovoltaic-storage aggregated energy system proposed in this paper, by simulating decentralized transaction of aggregators, the electricity price and load level were affected by the capacity planning of photovoltaic and energy storage. Then, the optimal capacity planning scheme of aggregators was obtained, which meets the normal consumption of load and avoids the waste investment of energy storage planning. Electricity pricing strategies for aggregators with tradable clean energy at the transaction level were proposed, and an effective reference for the optimal capacity planning method of photovoltaic and storage considering the impact of distributed clean energy transaction was provided.