Incentive Mechanism for Clearing Energy and Reserve Markets in Multi-Area Power Systems

• Published in: IEEE transactions on sustainable energy Vol. 11; no. 4; pp. 2470 - 2482
• Main Authors: Wang, Jianxiao, Zhong, Haiwang, Yang, Zhifang, Lai, Xiaowen, Xia, Qing, Kang, Chongqing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomy; Clearing; Economic models; Electric power systems; Electricity; Electricity pricing; Energy; Generators; Incentive compatible; Incentive schemes; mechanism design; multi-area power system (MAPS); optimality condition decomposition; Optimization; Power dispatch; Power system economics; Power transmission lines; Renewable energy; Renewable energy sources; Vickrey-Clarke-Groves mechanism (VCG)
• ISSN: 1949-3029; 1949-3037
• DOI: 10.1109/TSTE.2019.2961780

The increasing integration of renewable energy has highlighted the importance of interchange trading in multi-area power systems (MAPS). In some existing multi-area electricity markets, the marginal-pricing (MP) mechanism is adopted. However, this mechanism is known to lose market efficiency when profit-maximizing units strategically bid to manipulate electricity prices. To elicit truthful bids from generators and guarantee the optimality of MAPS, we propose an incentive mechanism based on Vickrey-Clarke-Groves (VCG) auction. A two-stage multi-area economic dispatch model for joint energy and reserve clearing is formulated with hybrid AC/DC links. We illustrate that when settled by the MP mechanism, thermal units have incentive to strategically bid on reserve prices, thereby preventing inter-area power exchange. The VCG-based mechanism sets up the payment to a unit as other generators' incremental costs after removing it in the market clearing process, which reveals the externality induced by this unit and thus incentivizes truthful bids. To preserve each area's autonomy, a novel decentralized algorithm based on improved optimality condition decomposition is developed. Case studies based on a 2-area 60-bus system and a 3-area 354-bus system demonstrate the effectiveness and efficiency of the proposed mechanism and method.