刘吉成, 郭启蒙, 孙嘉康. 区块链下虚拟电厂混合储能容量优化配置及收益分配[J]. 现代电力, 2023, 40(6): 957-966. DOI: 10.19725/j.cnki.1007-2322.2022.0102
引用本文: 刘吉成, 郭启蒙, 孙嘉康. 区块链下虚拟电厂混合储能容量优化配置及收益分配[J]. 现代电力, 2023, 40(6): 957-966. DOI: 10.19725/j.cnki.1007-2322.2022.0102
LIU Jicheng, GUO Qimeng, SUN Jiakang. Optimal Allocation and Revenue Distribution of Hybrid Energy Storage Capacity in Virtual Power Plant Under Blockchain[J]. Modern Electric Power, 2023, 40(6): 957-966. DOI: 10.19725/j.cnki.1007-2322.2022.0102
Citation: LIU Jicheng, GUO Qimeng, SUN Jiakang. Optimal Allocation and Revenue Distribution of Hybrid Energy Storage Capacity in Virtual Power Plant Under Blockchain[J]. Modern Electric Power, 2023, 40(6): 957-966. DOI: 10.19725/j.cnki.1007-2322.2022.0102

区块链下虚拟电厂混合储能容量优化配置及收益分配

Optimal Allocation and Revenue Distribution of Hybrid Energy Storage Capacity in Virtual Power Plant Under Blockchain

  • 摘要: 为促进新能源消纳,实现虚拟电厂的价值最大化,以风电商、光伏商和储能商为收益主体构建虚拟电厂参与电力交易。首先,构建区块链下的包含蓄电池和超级电容的风、光、储虚拟电厂结构;其次,基于区块链中共享的发电数据、用能数据和运行数据等参数,提出混合储能充放电策略和以混合储能成本最低为目标的容量优化配置方法,并采用粒子群算法求解;再次,以区块链应用程度、风险偏好、合作意愿及参与程度为因素改进Shapley值法,建立收益修正模型,并分析区块链下基于智能合约的收益分配过程;最后,通过算例仿真及结果分析,验证所建模型及方法的可行性与适用性。

     

    Abstract: To promote the accommodation of new energy and realize the value maximization of virtual power plants, taking wind power generation companies, photovoltaic (abbr. PV) power generation companies and energy storage power generation companies as the mainbody of revenue the power transaction with participation of virtual power plants was constructed. Firstly, the architecture of a virtual power plant including wind, PV and energy storage, batteries and super capacitors under the blockchain was built. Secondly, based on such parameters as power generation data, energy consumption data, and operating data shared in blockchain a charging/discharging strategy of hybrid energy storage as well as a capacity optimal configuration method, which took the lowest cost of hybrid energy storage as the objective, were proposed and solved by particle swarm algorithm. Thirdly, taking the application level of blockchain, risk preference, cooperative willingness and degree of participation as the factors the Shapley value method was improved and a revenue modification model was established, and the smart contract-based revenue distribution process under the blockchain was analyzed. Finally, by means of example simulation and the analysis on the results, both feasibility and applicability of the established model and method are verified.

     

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