LEADER 01486nam 2200337zn 450 001 9910617311703321 005 20230223183208.0 035 $a(CKB)5840000000098319 035 $a(NjHacI)995840000000098319 035 $a(EXLCZ)995840000000098319 100 $a20230223d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Incentives for Optimal Control of Competitive Power Systems /$fLukas Ko?lsch 210 1$aKarlsruhe :$cKIT Scientific Publishing,$d2022. 215 $a1 online resource (290 pages) 311 $a1000147941 330 $aThis work presents a real-time dynamic pricing framework for future electricity markets. Deduced by first-principles analysis of physical, economic, and communication constraints within the power system, the proposed feedback control mechanism ensures both closed-loop system stability and economic efficiency at any given time. The resulting price signals are able to incentivize competitive market participants to eliminate spatio-temporal shortages in power supply quickly and purposively. 606 $aMechanization 615 0$aMechanization. 676 $a338 700 $aKo?lsch$b Lukas$01278114 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910617311703321 996 $aDynamic Incentives for Optimal Control of Competitive Power Systems$93012585 997 $aUNINA