Abstract
The output power of wind power and photovoltaic is randomness and uncertainty, which brings severe challenges to power generation planning and scheduling of power system. The concentrating solar power (CSP) station with heat storage has the same scheduling as the traditional unit. Through reasonable scheduling of CSP stations, the uncertainty of wind power and photovoltaic power generation can be effectively suppressed, and new energy consumption can be promoted. This paper comprehensively considers the market power sales benefits, grid-connected environmental benefits and system operation and maintenance costs of the wind power-photovoltaic-CSP combined system, a dispatching model is established with the objective of optimizing the grid connected benefits of the combined system. Aiming at the shortcomings of particle swarm optimization (PSO) that is easy to be premature, an improved particle swarm optimization (IPSO) algorithm is formed by adding convergence factor and improving inertia weight to optimize the scheduling model. The results show that the grid connection benefit of the combined system increases by 237784yuan per day after adding CSP. The convergence speed of the IPSO used in this paper has been greatly improved.
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