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

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

  • 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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