Robust optimal dispatching model and a benefit allocation strategy for rural novel virtual power plants incorporating biomass waste energy conversion and carbon cycle utilization

To optimize the utilization of rural biomass waste resources (e.g., straw and solid waste), energy conversion (BWEC) carbon cycle (CCU) are integrated into a traditional virtual power plant, i.e., BWEC-CCU-based plant. Furthermore, fuzzy robust two-stage dispatching optimal model for plant is established considering non-determinacy from wind (WPP) photovoltaic (PV) power. The scheduling includes day-ahead deterministic real-time uncertainty model. Among them, in phase, plan formulated with minimum operating cost emission targets. In strategy aiming at deviation adjustment by applying Latin hypercube sampling method. stochastic theory used to describe uncertainty. Third, order achieve distribution multi-agent cooperation benefits, benefit based on Nash negotiation designed three-dimensional interfering factor marginal contribution, risk. Finally, network Jiangsu province, China, selected case analysis, results show that 1) synergistic effect BWEC CCU obvious, operation could decrease 26.21% 39.78%, respectively. While capacity ratio WPP + PV, BWEC, 5:3:2, scheme optimum. 2) This can be formulate scheme. Compared coefficient Γ = 0, when 1, PV output decreased 15.72% 15.12%, increased 30.7% 188.19%, When ∈ ( 0.3, 0.9), growth has most direct impact 3) proposed equilibrium allocation reasonable plan. strategy, method used, share reduces 5.2%, small hydropower station, increases 1.7%, 9.7%, 3.8%, Overall, improve aggregated distributed while balancing appeal different agents.