A Game Theoretical Pricing Mechanism for Multi-Area Spinning Reserve Trading Considering Wind Power Uncertainty
Authors:
- 11 May 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 31 (2) , 1084-1095
Abstract
The rapid development of wind power has led to an increased demand for spinning reserve in power systems today. However, one of the most severe challenges to China's power systems is the mismatch between wind power installation capacity and the capability for supplying spinning reserve within each independently operated provincial power system. Coordinating the spinning reserve across multiple areas would providentially improve the accommodation of wind power. This paper proposes a game-theoretical model for spinning reserve trading between provincial systems that treat spinning reserve as a commodity. Based on the incomplete information, the trading price is calculated by satisfying the Bayesian Nash equilibrium, and then the trading quantity is determined. This ensures that both the buyer and the seller are able to maximize their expected profit. Case studies are performed using a 2-bus interconnected system and a 3-area IEEE RTS system. The results show that the proposed model is valid and effective.Keywords
Funding Information
- National Natural Science Foundation of China (51325702, 51307092)
- science and technical project of State Grid
This publication has 28 references indexed in Scilit:
- Uncertainty management in power system operationCSEE Journal of Power and Energy Systems, 2015
- Multi-area economic generation and reserve dispatch considering large-scale integration of wind powerInternational Journal of Electrical Power & Energy Systems, 2014
- Multi-Area Unit Scheduling and Reserve Allocation Under Wind Power UncertaintyIEEE Transactions on Power Systems, 2013
- Overview of problems in large-scale wind integrationsJournal of Modern Power Systems and Clean Energy, 2013
- Review on wind power development and relevant policies in China during the 11th Five-Year-Plan periodRenewable and Sustainable Energy Reviews, 2012
- Assessment of the Cost Associated With Wind Generation Prediction Errors in a Liberalized Electricity MarketIEEE Transactions on Power Systems, 2005
- Energy and Reserve Pricing in Security and Network-Constrained Electricity MarketsIEEE Transactions on Power Systems, 2005
- A Solution to the Stochastic Unit Commitment Problem Using Chance Constrained ProgrammingIEEE Transactions on Power Systems, 2004
- Short-term prediction of the aggregated power output of wind farms—a statistical analysis of the reduction of the prediction error by spatial smoothing effectsJournal of Wind Engineering and Industrial Aerodynamics, 2002
- Bargaining under Incomplete InformationOperations Research, 1983