Research On Optimal Scheduling Of Urban Energy System Based On Particle Swarm Algorithm

The optimal dispatch of urban energy system is an important part of current urban planning.In-depth study of it can effectively reduce the use of traditional fossil energy,make full use of clean energy and renewable energy,and improve environmental pollution.The integrated energy system with co-generation equipment as the core and various distributed generation has realized the high efficient cascade utilization.It has become a hot topic for scholars in various countries to research energy supply.According to the characteristics of wind and solar power generation and urban energy supply system in Ningxia,this paper applies the PSO algorithm of parameter optimization to simulate the IES under the conditions of CCHP,Grid Connected and Islanding Operation.It dispatches the output of DG,compares the current single energy supply modes and shows the economy of the dispatching scheme and the feasibility of optimization algorithm.Firstly,this paper studies the composition and structure of urban energy system,explores the characteristics of urban CCHP system and IES,and studies the structural characteristics of the two systems and their relationship and difference.This paper probes into the off-grid characteristic of DG.It explores the dispatching principle of urban energy system,and confirms the dispatching strategy of energy system in Ningxia.The output power models of microturbine,wind turbine and photovoltaic battery,the charge-discharge power model of storage battery and the cooling and heating performance parameters of the lithium bromide absorption chiller,Refrigeration of Electric Refrigerator and Thermal Performance Parameters are studied.Secondly,this paper studies the dispatch algorithm for urban energy system.It did research on the advantages and disadvantages of different optimization algorithms,and picks out PSO algorithm which is suitable for urban energy dispatch.In order to improve the problem that PSO algorithm has poor overall search ability,It is prone to fall into local extremum in the early stage of iteration and has poor section search ability in the later stage of iteration.thus jumping out of the range of the optimal solution.this paper optimizes the parameters such as inertia weight.The flow chart of PSO algorithm solving system model after parameter optimization is built.Finally,this paper studies the optimal dispatch problem of CCHP and IES.The optimal scheduling model of CCHP system with Microturbine,absorption refrigerator and electric refrigeration heat engine is established.It builds the optimal scheduling model of IES with Microturbine,wind turbine,photovoltaic battery,storage battery,absorption refrigerator and electric refrigeration heat engine.The calculation model of the minimum energy supply cost of the system is built,with the power balance constraints of the system and the operating conditions of the equipment taken as constraints.Taking the energy use of a urban in Ningxia as an asimulation example,the typical daily energy supply and demand in winter and summer in three situations were simulated.including grid connection of power generation without renewable energy(CCHP),off-grid generation with renewable energy and grid connection of power generation with renewable energy(IES).Combined with the above research,the energy supply and demand of some urban in Ningxia is simulated under in Matlab.The simulation results show that the cost of energy supply is 71%in summer and 64%in winter for single mode of energy supply according to CCHP.The cost of energy supply is 65%and 73%of CCHP in summer,54%and 82%of CCHP in winter for grid connected and islanding operation according to IES.This reduces the cost of energy supply in urban and makes them more economic.