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Joint Daily Operational Optimization Of Wind Power And Pumped-storage Based On Dynamic Price Agreement

Posted on:2016-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:J X ChangFull Text:PDF
GTID:2272330479952066Subject:Power system and its automation
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Wind power, as one of the most promis ing renewable energy, has attracted worldwide attention and wi nd power i ndustr y has develope d very rapidly. As the pr oportion of wind power increases gradually, large- scale wind power grid brings serious balanced scheduling problems to power s ystem and eve n to the safe operation of the power system. Economic mature pumped-storage power station has a flexible a djustment, cooper ating with wind farm that can improve the controlla bili ty of wi nd power output. Consequently i t is conve nient for power system dispatc hing and reducing wind air volume. This disser tat ion is based on t he analysis, modeli ng and solving of wind far m and pumped-st orage combined daily optimal ope r ati on schedule, main work is as follows:First of a ll, t his dissertation summarizes the exi sting operation mode of contract transa ctions in the powe r market, building a mode which is under the circumsta nce tha t wind farm and pumped storage si gned j oint system signs contracts wi th the state grid. T he transmi ssion capacity and the abs orptive of wind power and dispatching of wind power deve lopment is anal yzed. F rom the perspect ive of the grid dispatching balanc e of power load a nd grid trading, a gri d plan i s made and the core content of the agreement is raised which means making dea l price as a lever a nd to motiva te and puni sh thi s joint system.At the same time, it dete rmines the grid power, load peak and off-peak hours as the conte nt of the a gr eement. It discus ses the shortage of existing wind power trade of electricit y,pointing out t hat to study the dynamic electric ity pr ice based on the design of wind farm and pumped storage joint system opera tion optimi zation scheduling. Analys is indicators of wind and pumped storage joint operation are given, incl uding transfer wind power effi ciency, off-peak hours grid power root mean square devi ati on, maximum and average wind energy utilization rate and re venue.Then the operation of the four di fferent scenar ios has been de fined whi ch i s based on the size of the power and ti me of wind power a nd pumped storage grid. The corresponding dynami c discrete price is made tha t t o ma ke the profit of t he joint system to the highest to establish a daily operation optimization sc heduli ng model. It also consider ed the gr id power c onstraints i n the contract and t he cons traints of pumped- storage power station unit and capacity. Betting on wheel induce d by random method which is adj ustable to this the optimization problem and inequality c orrect ion met hod has been put forward. This usedimproved particle swarm algori thm to solve the model and then got the wind farms and pumped-stora ge power station of the optimal scheduling strategy.On the ba sis of the above sche duling model, i t studied the impact of wind power a nd pumped storage system i n a combined a ctual grid power of conventional coal-fired thermal power unit in the power system and gas turbine units r unning cost s. Then making its quantitative i nto dynamic continuous electricity prices as the rewards and punis hments of joint syste m to establish the bi ggest objecti ve function of j oint sys tem. I t has been devided into t wo pa rts — — optimal operation, unit combination and economic dispatc h a nd improved particle swa r m optimization has been applied to analyze and simulate the operation of the joint system.
Keywords/Search Tags:wind farm and pumped-storage joint, daily optimal oper ation, agreement transaction, dynamic discrete price, dynamic continuous price, improved parti cleswarm algorithm
PDF Full Text Request
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