Coordinative Optimization Of Hydro-photovoltaic-Wind-battery Complementary Power Stations

Nowadays,with the increasing economy,Chinese overall demand for power generation is also growing with the substantial trend.The Chinese installed power generation capacity ranks first in the world,but it is mainly based on coal-fired thermal power generation,which is difficult to meet environmental protection requirements.However,when the wind and photovoltaic power generation is gradually developed,there is a serious phenomenon of abandoning the PV and the wind.When PV and wind are connected to the grid,the output is highly volatile and intermittent.Traditional hydropower has stable output and strong controllability.The battery storage has the characteristics of flexible regulation,frequency and voltage regulation and smoothing out the fluctuation of new energy.So it is an inevitable trend to realize the multi-energy complementarity and coordinated optimization,which combines the natural advantages of traditional energy with renewable energy.Firstly,in this paper,the power generation mechanism,performance comparison and output model of the four energy generators(including hydropower,PV,wind and battery storage)were described in detail.Based on above,the structure and dynamic output process of the multi-energy complementary system are determined.Secondly,considering the multiple power supply constraints comprehensively,an optimization scheduling model was established with the objectives of minimizing the volatility of output power and maximizing the output of wind and PV power.For the phenomenon that basic particle swarm optimization(PSO)is easy to converge early,and has the slow convergence in latter half,combined with niche technology in evolution,a niche particle swarm optimization(NPSO)is proposed to determine the optimal solution of the model.In addition,this paper uses the Non-dominated Sorting Genetic Algorithm(NGSA)to solve multi-objective optimization model.Finally,the multiple stations' coordinated operation was analyzed taking the example of 10 million kilowatt complementary power stations with hydropower,wind,photovoltaic and storage.The case compares the output curves of single power and multiple powers in three typical weathers(sunny,cloudy and windy).The calculation example verifies the practicality and consistency of the model.It also explained that multi-energy complementary operation can not only improve the utilization rate of new energy but also promote the transformation of energy structure and form a smart energy system.