Research On Energy Evaluation System And Optimization Strategy In Energy Router

Energy router is the key equipment of energy internet for energy control and information transmission,which concept is quoted from information Internet.Energy router achieves energy efficiency and low cost by scheduling a variety of different forms of energy.In order to achieve this function,it is necessary to evaluate different energy forms comprehensively,analyze their different characteristics and establish the mathematical model,and establish the optimization strategy through the advanced algorithm,so as to provide the basis for energy dispatching control.This paper evaluates five different forms of energy,including wind power,photovoltaic power generation,coal power generation,gas power generation and fuel oil power generation,introduces particle swarm optimization algorithm and its improvement,establishes mathematical models of optimization strategy and five power generation methods,and verifies by examples.Wind power and photovoltaic power generation as renewable clean energy,their impact on the environment are very small,and they are main forms of energy internet in the future,but the uncertainty is strong.Coal-fired power generation is the most mature power generation,and also most important power generation in china with low cost but serious environmental pollution,through the way of combining heat and power can improve energy usage efficiency.The combustion of natural gas has little impact on the environment and it is a kind of clean energy,but there are few natural gas reserves in China which resulted high cost of gas power generation.Through the combination of hot,cold and electricity,we can achieve efficient use of gas.As China’s oil mainly relies on import,so the fuel power generation is mainly used as an emergency power supply.Particle Swarm Optimization(PSO)is an advanced algorithm with few parameters,high computational precision and fast convergence speed.However,it is easy to fall into the local optimum.By improving the parameters ω,c1 and c2,PSO can avoid this problem effectively and improve the convergence speed and calculation accuracy.The objective of optimizing model is lowest cost of fuel,which can meet the demand of electricity,heat and cold after all the renewable energy is received.Case verification shows that cooling load of gas unit should be ensured first in summer with the remaining load borne by coal-fired unit;heating load of coal-fired unit should be ensured first in winter with the remaining load borne by gas unit.