Co-Optimizing Virtual Power Plant Services Under Uncertainty: A Robust Scheduling and Receding Horizon Dispatch Approach

Multi-level coordinated energy management for energy hub in hybrid markets with distributionally robust scheduling

“…To adapt uncertainties in rolling optimization, Ref. [23] combines the scenario-based robust optimization with receding horizons which maximizes the revenue of a virtual power plant in power and reserve markets. Day-ahead schedules are settled by a stochastic problem, and power variations are penalized in two close-toreal-time dispatches.…”

“…In consideration of difficulties to cover all the underlying scenarios with SP, in [26], a novel framework of multi-timescale rolling optimization with day-ahead DRO scheduling and intra-day adjustment is introduced to compensate prediction deviations in renewables and load for an AC/DC hybrid microgrid. Nevertheless, models do not consider uncertainties of market prices [21,22,26] and ambiguity PDFs [21][22][23][24][25] which may influence the robustness and profits of MESs. In addition, the gas market [23,26] and carbon trading market [21][22][23][24][25][26] are also not included.…”

“…Nevertheless, models do not consider uncertainties of market prices [21,22,26] and ambiguity PDFs [21][22][23][24][25] which may influence the robustness and profits of MESs. In addition, the gas market [23,26] and carbon trading market [21][22][23][24][25][26] are also not included. However, few studies found have some distinguished contributions in combined energy bidding strategies of EH within carbon markets [27,28].…”

Research on Energy Management of a Virtual Power Plant Based on the Improved Cooperative Particle Swarm Optimization Algorithm

“…In 2019, the cumulative installed capacity of wind power and photovoltaic power generation in China will exceed 200 GW (Yang et al, 2020). However, due to uncertainties in natural factors such as wind speed and light intensity, wind turbines and photovoltaic power generation fluctuate greatly in time scale (Naughton et al, 2021). When large-scale new energy cannot be consumed locally, its grid connection will bring great challenges to the safe and stable operation of the power grid (Shabani and Kalantar, 2021).…”

Robust scheduling of virtual power plant with power-to-gas device

“…The uncertain parameter model is transformed into a robust equivalent model by using duality theory, and the probability of satisfying the constraints can be guaranteed by adjusting the parameters, so as to ensure the compromise between robustness and optimality of the feasible solution [12] . Three sequentially coordinated optimization framework based on robust scheduling to maximum the revenue of the virtual power plant is established in [13]. A stochastic adaptive robust optimization model is proposed to optimize self-scheduling for the participation of virtual power plant in the day-ahead energy-reserve market in [14], [15].…”