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1. , ,*a---- ,** '-*-arrj' ' "r7 ' .n.: -.\ Journalof Arncrican Science. 20ll:7(2) lltt ://u'rirv.americanscicncc.ot A New Pool Marhet Method for Generation Expansion Planning in Restructured Porver Systcrn r, 2, 2 Molteza'fhaerkhani MohanrmadSadegh Javadi Amin Javadinasab I Islarnic Azad University, I(araj Blanch, Karaj,21396437l l, L'an - ' Islamic Azad Univelsitv. Shoushtar Blanch. Shoushtar. Iran 613ti663849. grrrai nrsilr l,,li,!{ l.t'onr Abstract: 'i'he issuc of genelation expansior.r plar.uring (GEl') is molc complicated in the restructulcd and modeln powcr systcurslather than traditional and monopoly systems.In Modern power systelns,each Ceneration Company (Gcnco) invests in the section of gcnelation in ordcl to gct to his oi,vnmaximum profit. This paper prcsents a new n.rixedrnethodto solvc thc CEP problem in Porvel l'ool Market. This method is formed of two levels: local level and national level. In local level, each of Ccncos declaresI'risown generationlevel to IndependentSystem Operator'(lSO) airning rnaximize the plofit just r.vith rbspect to local constraints. L.r national level, llrst the competition betrveen Gencoswill bc modeled by garne theoly and Nash-Cournot ccluiliblium. Then, duc to the generation levcl of each of Gencos, the systcm national constraints u'ilt be checked. If these constlaints rvould bc satisfied, problem-solving won't bc satisfied,thcir relevant coefficients rvill bc changed in would be cornpletedbut if each of these cor.rstlaints problcm and this procedure would be repcated again and again until plobler.r.r rvas converged to acceptedsolutions rvhich satisfy local and national constraints. [Morteza Taherkhani, Mohamrnad Sadcgh Javadi, Amin Javadir.rasab, Nerv Pool Market Method for Generatiort A Expansion Planning in I{estluctulcd Polvcr System Joulnalof Amelican Scicncc201 1; 7 (2):620-6241. (ISSN: I 545- | 0 0j). lrltf : i, ' r r r r r . r rr r c lier ns c ic r r ee.g. ot I'lannirrg, Pool Market, Game Theot'y,Uncertainty I(eywords: GencrationExpansiot'r system (restructuredcnvilonrnent), Gencos as playcfs Nomenclaturc I. 'l'inrehorizon of planning in pou'el mafket just rvant to maximize their orvn profit and they accomplish thcir gencration planning nl: Numbel of genelationtechnologies in ordel to achievetl.risaim (Kagiannaset al., 2001). p(t): Price ofporver salc in year /7, In such an envilonment, ISO has a duty to control qA,t): QvanIiLy of that power r'vhich is genelated by j malkct in generation, transrnission ar.rddistribution technologl in year 1,1, scctions. hr genelation section, ISO applics thc B;: Sum of prolrt of i7,Genco in generationplanning system constl'aints in GEP problcrn (Murphy and. C(j,t): Cost of porvcr which is genet'ated by techrrologyTin year t,1, Srneers,200l). In this paper, irr the llrst stage, ISO takcs EM(j)'. Emission coelficicnt of tccl.rnology7 and E,lll.1t1Allowablc enr is s ion nulgir rit t y c ar / ,7 , into consideration local constraints systerr like thc of r : emission constraint, luel constraint and etc for caclr trla:tExp(t): Maxirnum level of expansion in year 1,7, Cenco. Ilaving applied these constraints,cach Cct"rco C,,,,(t):Cost of investrnenl per ycar' rvill spccify his or.vngenerationlevel in a planning ivtaxCap(t): Maximum late of investment of each horizon. In the sccond stage, afler cornpeting Gencos investor in ycal lr7, in a garne and achieving Nash-Cournotecluilibriutn. r,1,,,, Dou'n rcscfve Inargrn : ISO checks the natiorral constraints o1' systern like LOLD and reserve constraint with respect to the sum 1,j,"*:Up reserve margin of Genco's genelatior.r pool mafket (Torre" et al.. in /r: Allorvablclcvcl of LOLE 2003). Finally, thc problcrn rvould be convergedto sol.rlc solutions rvhich satislv local and national l. Introduction constraints. In Generation Expansion Planning (GEP), the generation level of cach of gcncration colnpany 2. Material and Methods (Genco) in market rvould be spccified in a In a traditional power syslem, thc aim is to detelrnined tirnc l"rorizon. The Gencos r'vill also minimizc thc surn of system costs but in a rlodcrn pltrns with rcspect to regulate thcil or.vn investr.nent power systcn),the ob,jcctivefr-urctionis in thc lclrui o1- tn this planning. l'he establishment t'estructuling of total of profit gained by generation fbr each o1' Porver Industry has glcatly inlluenced GEP. In a (Lin et. al.. Gencosand this profit must be n.raximized traditionalsysteln,thc main objectiveis to minimrze 2004). 'l'he ploblem's constraills are di1-lercnt as the total of gcneration costs, but in a modcrn por.ver cd i tor-l { l tn t cr i u Jttsci cn cc.ti l g 620 http:/iwww.america