A hybrid planning method for transmission networks in a deregulated environment

• Published in: IEEE transactions on power systems Vol. 21; no. 2; pp. 925 - 932
• Main Authors: Xu, Z., Dong, Z.Y., Wong, K.P.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Criteria; Deregulation; Electricity market; Engineering management; goal programming; Human; Humans; Hybrid power systems; Knowledge engineering; Knowledge management; Management; Markets; multi-objective optimization; Networks; Optimization; Optimization methods; Power industry; Power system planning; Process planning; Reliability engineering; transmission planning
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2006.873134

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using a multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open-access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of a deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system, and relevant analyses and discussions have been presented.