Two‐stage robust optimal scheduling of wind power‐photovoltaic‐thermal power‐pumped storage combined system

Abstract

As traditional fossil energy sources such as coal cause serious environmental pollution, it is a major trend to promote the construction of a ‘clean’ power system with new energy sources as the mainstay. However, the uncertainty of intermittent energy output and its high proportion of grid connection bring challenges to the scheduling operation of the power system. In this paper, the authors propose a two‐stage robust dispatching strategy for the combined wind‐photovoltaic‐fired‐pumped storage system to improve the capacity of renewable energy (RER). The outer layer of the model is based on minimizing the start‐stop cost of thermal power units to obtain the start‐stop scheme of thermal power units, and the inner layer of the model integrates the system operation cost, pollutant emission cost, deviation penalty, and other constraints of wind power and PV output to obtain the dispatching scheme with the lowest overall operation cost under the worst scenario of wind power and PV fluctuation. The model is solved alternatively by column constraint generation algorithm (C&CG) and strong pairwise theory. The feasibility and effectiveness of the proposed method was verified based on the improved 30‐machine test system as an example.

A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm

“…The single-layer model makes it difficult to consider the economics and dispatching problems, and the output decision scheme is more localized and weaker in terms of global interests (Chen et al, 2022). To avoid these issues, the two-stage two-layer optimization model is applied (Luo et al, 2022). This model can better coordinate the interests of multiple parties within the MG and develop a reasonable strategy and an optimal operation plan for the MG.…”

“…In this paper, nine benchmark functions are used to test the optimization performance of particle swarm optimization (PSO), gray wolf optimization (GWO), improved gray wolf optimization (IGWO), seagull optimization algorithm (SOA), and BWO. All algorithms are tested 20 times (Luo et al, 2022). The test function results are shown in Tables 1, 2, and Figure 5.…”

A two‐stage adaptive‐robust optimization model for active distribution network with high penetration wind power generation

“…In [22], the uncertainty budget of spatially coupled multiple wind power generation is objectively determined to ensure a good trade-off between the robustness and costs of transmission expansion planning solutions. In [23][24][25], a box uncertainty set considering the temporal smoothing effects of multiple wind generations was used to form a robust energy dispatching model of the combined wind-photovoltaic-pumped storage system and improve the accommodation of renewables. In [26], an uncertain set budget is used to restrict the number of worst-case realizations for the uncertainties of wind-solar power generation and EV charging load demand, and an adjustable robust optimization model was established to achieve the minimal operational cost of combined cooling, heating, and power based microgrids.…”

“…In summary, there are either spatially coupled [20][21][22] or temporally coupled [23][24][25][26][27] uncertain sets for the RO model. However, simultaneously considering the spatially and temporally coupled correlations of uncertain renewables in RO of distribution networks are not common.…”

A variable-time day-ahead scheduling strategy considering spectrum analysis

“…At present, the scholars in China and abroad have carried out research on the use of the joint energy storage to solve the problem of the new energy grid connections. Javed et al (2020) proposes joint optimized scheduling of the pumping storage and electrochemical systems to increase new energy consumption; Given the influence of wind and light fluctuations on power grid planning, Luo et al (2023) built a two-stage robust planning model of wind power, solar energy, thermal power, pumping and storage, and electrochemistry to determine the optimal dispatching scheme. However, as the pumped storage units operate by the unified dispatching instructions of the power grid in a mode of pumping on time for a fixed period of time, it is difficult to give full play to their operating efficiency.…”