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储能系统技术 微电网 ★ 5.0

基于微电网群租赁共享储能的主动配电网三层Stackelberg博弈调度

Trilayer Stackelberg Game Scheduling of Active Distribution Network Based on Microgrid Group Leasing Shared Energy Storage

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中文摘要

摘要——本文提出一种基于微电网群租赁共享储能的主动配电网三层Stackelberg博弈(SG)调度策略。在上层,配电系统运营商作为领导者,综合考虑中层和下层的电力需求来确定交易价格,从而实现主动配电网的安全运行以及削峰填谷。在中层,共享储能运营商既可作为领导者制定租赁价格,也可作为跟随者响应交易价格,以保证共享储能系统的可靠充放电与高效利用。在下层,微电网联盟作为跟随者制定租赁容量并响应交易价格,从而确保电力平衡及可再生能源的就地消纳。此外,为有效求解该三层SG模型,采用多步逆向归纳法证明了均衡解的存在性与唯一性。进一步设计了一种分布式的嵌套迭代算法,以避免迭代优化过程中可能出现的振荡现象,提高计算效率。最后,通过改进的IEEE 33节点系统及扩展系统验证了所提调度策略的有效性与合理性。

English Abstract

Abstract ―A trilayer stackelberg game (SG) schedule strategy is proposed for an active distribution network based on microgrid group leasing shared energy storage. In the upper-layer, the distribution system operator acts as the leader to determine the trading price considering the power demand of the middle and lower layers, which can realize the safe operation and the peak shaving and valley filling of the active distribution network. In the middle-layer, the shared energy storage operator can serve both as the leader to formulate the leasing price and as the follower to respond the trading price, which can guarantee the reliable charging/discharging and efficient utilization of the shared energy storage. In the lower-layer, the microgrid coalition regards as the follower to formulate leasing capacity and to respond the trading price, which can ensure electricity balance and on-site consumption of the renewable energy. Moreover, in order to solve the trilayer SG model effectively, the existence and uniqueness of the equilibrium solution can be proved by taking advantage of the multi-step backward induction method. Then, a distributed nested iterative algorithm is further exploited to avoid the possible oscillation in iterative optimization, which can improve the computational efficiency. Finally, the effectiveness and rationality of the proposed schedule strategy can be verified through the improved IEEE33 bus system and the extended system.
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SunView 深度解读

该三层博弈调度策略对阳光电源ST系列储能变流器和PowerTitan系统具有重要应用价值。通过配网运营商-共享储能-微网群的分层博弈机制,可优化ST-PCS的充放电策略,提升储能利用率。分布式嵌套迭代算法可集成至iSolarCloud平台,实现多微网协同调度和削峰填谷。该模型为阳光电源开发共享储能租赁商业模式提供理论支撑,结合SG系列光伏逆变器可构建源网荷储一体化解决方案,提升新能源就地消纳能力和系统经济性。