01589nas a2200301 4500008003900000022001400039245006900053210006800122260001200190300001600202490000700218520073500225653001300960653000900973653003900982653001001021653003201031653001001063653001001073653002601083653000901109100001401118700002101132700002401153700001901177700002101196856007001217 2014 d a0885-895000aRisk-Based Locational Marginal Pricing and Congestion Management0 aRiskBased Locational Marginal Pricing and Congestion Management c09/2014 a2518 - 25280 v293 aThis paper develops a new electricity market clearing mechanism, called risk-based locational marginal pricing (RLMP). The RLMP is derived from the risk-based security-constrained economic dispatch model, where risk is modeled to capture the system's overall security level. Compared to the traditional locational marginal pricing (LMP) which is composed of three components: energy, congestion, and loss, the RLMP consists of an additional risk component. The risk component is a price signal to reflect the system's overall security level. This paper discusses the features of RLMP, and analyzes its benefits over traditional LMPs. The proposed concept and method are illustrated on a six-bus system and the WECC 240-bus system.10aAA09-00110aAARD10aAutomatic Switchable Network (ASN)10aCERTS10alocational marginal pricing10aPSERC10aRTGRM10aSystem Security Tools10aWECC1 aWang, Qin1 aZhang, Guangyuan1 aMcCalley, James, D.1 aZheng, Tongxin1 aLitvinov, Eugene uhttps://certs.lbl.gov/publications/risk-based-locational-marginal01055nas a2200205 4500008003900000022001400039245007000053210006200123260001200185300001600197490000700213520045900220653001300679653000900692653001000701653002600711100001400737700002400751856007400775 2013 d a0885-895000aRisk and “N-1” Criteria Coordination for Real-Time Operations0 aRisk and N1 Criteria Coordination for RealTime Operations c08/2013 a3505 - 35060 v283 aThis letter describes a new perspective on coordinating system “N-1” criteria and risk for real-time operations, where risk is modeled to capture the system's overall security level. A risk-based security-constrained optimal power flow (RB-SCOPF), considering “N-1” criteria and risk together, is compared with the traditional SCOPF. The IEEE 30-bus system is tested to illustrate the coordination between risk and “N-1” criteria in RB-SCOPF.10aAA09-00110aAARD10aRTGRM10aSystem Security Tools1 aWang, Qin1 aMcCalley, James, D. uhttps://certs.lbl.gov/publications/risk-and-n-1-criteria-coordination01595nas a2200229 4500008003900000020002200039245006100061210006000122260003500182300001000217520086800227653001301095653000901108653003901117653001401156653002901170653002701199653002901226100001301255700002401268856007301292 2009 d a978-1-4244-4241-600aRisk-based optimal power flow and system operation state0 aRiskbased optimal power flow and system operation state aCalgary, CanadabIEEEc07/2009 a1 - 63 aIn this paper, the risk-based optimal power flow is proposed, which minimizes the economic cost considering the system reliability, and a refined system operation state is provided to clarify this approach. In order to obtain better economic benefit than traditional security-constrained optimal power flow, the corrective optimal power flow is used in this work. The reliability is represented by the risk index, which captures the expected impact to the system. This problem is solved by Benders decomposition. The specific designed Benders subproblem will assure that no collapse or cascading overload occurs for the corrective optimal power flow problem. The approach auto-steers the dispatch between different risk level according to the probability and consequence of the upcoming contingency events. Case studies with a six-bus system are presented.

10aAA09-00110aAARD10aAutomatic Switchable Network (ASN)10aload flow10aoptimal power flow (OPF)10apower system economics10apower system reliability1 aLi, Yuan1 aMcCalley, James, D. uhttps://certs.lbl.gov/publications/risk-based-optimal-power-flow-and01168nas a2200241 4500008003900000022001400039245007800053210006900131260001200200300001600212490000700228520042200235653001300657653000900670653003900679653002900718653002600747653002600773653001800799100001400817700002400831856007100855 2007 d a0885-895000aRisk-Based Security and Economy Tradeoff Analysis for Real-Time Operation0 aRiskBased Security and Economy Tradeoff Analysis for RealTime Op c11/2007 a2287 - 22880 v223 aThis letter describes a new perspective on balancing system security level with cost for real-time operation. Security level is quantified using risk, which provides that security may be optimized. A risk-based multiple-objective (RBMO) model, considering security and economy together, is compared with the traditional security-constrained OPF (SCOPF) model. A six-bus test system is used to show the merits of RBMO.10aAA09-00110aAARD10aAutomatic Switchable Network (ASN)10aoptimal power flow (OPF)10aPower system modeling10apower system security10arisk analysis1 aXiao, Fei1 aMcCalley, James, D. uhttps://certs.lbl.gov/publications/risk-based-security-and-economy