In a dynamic pricing scheme at a secondary distribution network, the residential electricity cost minimization and effective distributed energy resources management with energy storage (ES) is challenging using either compressed air or pumped hydro. Since, each one has its inherent limitations along with merits like ES with compressed air requires a very deep air storage cavern which results in increased constructional cost. Whereas ES with pumped hydro suffers from gravitational issues and also it requires suitable construction to maintain height difference. In particular, with the benefits of energy storage and solar integration, all residential houses lumped in the distributed network are willing to draw much of their load demand at minimum pricing intervals. This situation may lead to crowding phenomena among the residential houses. In order to overcome the crowding phenomena, in this paper a novel energy routing technique with hybrid energy storage has been proposed. The hybrid energy storage is a combination of compressed air energy storage and pumped hydro storage. The proposed energy routing technique assigns the role of each house as a seller or buyer by identifying the surplus or paucity power along with the status of their energy storage. A priority factor is calculated, in this past contribution made by each residential house and load demand are considered to be key parameters. Further, the linear integer program is employed to schedule the buyers to buy the electrical energy at minimum price without any crowding phenomena. The performance of the proposed novel technique has been validated on12 bus distribution system with 100 MVA, 11 kV ratings and IEEE 33 bus test system with 100 MVA, 12.66 kV ratings. The result analysis shows that the proposed novel technique is robust and applicable for real-time smart grid environment.

在二级配电网的动态定价方案中，使用压缩空气或抽水蓄能技术来最大程度地降低住宅用电成本和有效利用能源存储（ES）进行分布式能源管理是一项挑战。由于每个人都有其固有的局限性，还有诸如ES之类的优点，压缩空气需要非常深的储气室，这会增加建筑成本。带有抽水系统的ES存在重力问题，并且还需要适当的构造来保持高度差。尤其是，借助储能和太阳能集成的优势，所有集中在分布式网络中的住宅房屋都愿意以最小的价格间隔获取大部分负荷需求。这种情况可能导致住宅之间出现拥挤现象。为了克服拥挤现象，本文提出了一种具有混合能量存储的新型能量路由技术。混合储能是压缩空气储能和抽水蓄能的结合。所提出的能源路由技术通过识别剩余或稀缺电力及其储能状态，来指定每个房屋作为卖方或买方的角色。计算优先级因子，在过去，每个住宅的贡献和负载需求被视为关键参数。此外，采用线性整数程序来调度购买者以最小价格购买电能而没有任何拥挤现象。该新技术的性能已在100 MVA的12总线配电系统上得到验证，11 kV额定值和具有100 MVA，12.66 kV额定值的IEEE 33总线测试系统。结果分析表明，所提出的新技术是鲁棒的，适用于实时智能电网环境。