Capacity Planning And Coodinative Dispatching Strategy Of Multi-heating Sources To The Promotion Of Wind Power Consumption During Heating Season

With the exhausting of fossil fuel and the increasing demand of environment protection,wind power,a kind of proven clean renewable energy,has been playing an irreplaceable role in maintaining the energy security,promoting the energy structure and decreasing polluting emission of our state.However,the characters of intermittent,volatility and anti-peak regulation of wind power weak the controllability of the network source.In particular,the rich wind area is highly overlap with heating area in northern China,the combine heating and power units(CHP)have occupied a great scale to provide both heating and electric power.The high ratio of thermal power plant has made a negative effect on wind power consumption.In order to relieve the vast sums of wind power curtailment,this dissertation starts from researching the reason of frequently occurrence of wind power curtailment firstly.Then,an additional heating source method(AHS)to decoupling the thermoelectric coupling relationship of CHPs to increase its peak regulation capacity is proposed.Followed,this work establishes the optimizing configuration of AHS.Next,a coordinative dispatching schedule of multi-sources in electric valley period during heating season is developed.Finally,this dissertation analyzes the heating storage capacity and thermal inertia of the primary heating circuit,and utilizing them to promote the absorption of wind power.The thermoelectric coupling relationship of CHPs leads that the adjustable range of electric output is limited by heating output.The “Ordering Electricity by Heat” policy restricts the minimum heating output of CHPs in heating season and causes the CHP's own electric power adjustable capacity could not be fully applied.Focus on that,this dissertation propose an AHS method.This method introduces heat storages and electric boilers to heating system,the AHS provides additional heating power to heat users and reduces the heating demand to CHPs which could enlarge the CHPs' peak regulation capacity in heating season.Meanwhile,the electric boilers in AHS could boost the electric load that create more accommodation space for wind power.Also,this dissertation analyzes the wind power consumption capacity under different AHS configuration and researches the working conditions of the electric and heating sources in the electric-heating hybrid system with AHS.The network of urban central heating system holds an enormous heating storage capacity,if the heating storage capacity and the thermal inertia of the network could be rational used,the wind power curtailment during heat season could be relieve effectively.This dissertation proposes an approach to boost the wind power consumption capacity of electric system by the heat storage ability and thermal inertia of primary heating circuit.Firstly,the thermodynamics formula of different parts of heating system are determined.Then,establishing the thermodynamics model of the primary heating circuit.Followed,the thermodynamics characters of heating pipes are analyzed and the heat storage capacity and thermal inertia eigenvalue of the are calculated through an uni-source and uni-load heating system,the temperature variation among the primary heat circuit are researched under different heating network control mode.Finally,the effectiveness of the approach is proved by a numerical simulation.A reasonable configuration of AHS could bring a remarkable economic and society benefits at the same time of relieving wind power curtailment.This dissertation erects an economic model of AHS,calculates the annual equal value of the initial investment during whole life cycle,defines the yearly operation cost,economic benefit and society benefit of AHS.Also,this work constructs the mathematical expression between the wind power consumption value and the configuration of AHS by statistical approach and maximum likelihood fitting.The operation constraint conditions of AHS are listed and an improved conjugate gradient methods is introduced to solve the optimal configuration of AHS in a high wind power penetration grid.A GPU parallel computation approach is utilized to speed up the optimal searching.There are several different types of heating source in the electric-heating hybrid system with AHS.With the purpose of lower the dispatching charges and promote the effective interaction among the heating sources,this dissertation establishes the control method of the heating source during electric valley period during heat season based on their technical feature,develops a multi-source coordinative dispatching strategy on the goal of minimum dispatching cost.The dispatching strategy control the heating sources coordinatively by a two layers dispatching model.In the primary layer the dispatching is undertaking in system-wide,the model determines the total wind power consumption value,the total heating power supplement of AHS and the electric income of AHS.In the secondary layer,an optimal power allocation is under proceeding firstly by dynamic programming method,then,coordinates the heat storage and electric boiler in the AHSaccording to their technical feature,also a reserved electric volume of electric boiler is calculated to handle the wind power and electric load forecast error in each dispatching interval.By the application of the measures above,the peak-valley contradiction between electric load and heating load could be release,the rigid connection between heating load and heating sourse could be considerably flexed,the thermoelectric coupling relationship between the electric power output and heating power output could be much decoupled,the peak-load regulation capacity of CHP units could be enhance during heating period and the wind power curtailment could be decreased.Though the optimal allocation and coodinative dispatching of the multi-heating sourses,the technical features of the heating sources could be farthest developed,a considerable economic and society benefit could be obtain on the premise that the wind power curtailment rate can be brought down.