Title :
A Bi-Level Programming Model for Multistage Transmission Network Expansion Planning in Competitive Electricity Market
Author :
Fan, Hong ; Cheng, Haozhong ; Yao, Liangzhong
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai
Abstract :
A new bi-level programming model of multistage transmission network expansion planning (TNEP) based on double-bidding based pool electricity market is presented in the paper. Open access transmission brings new challenges to transmission planning. From the transmission company´s view, the goal of optimal transmission planning scheme should not only bring the optimal transmission profit in the market, but also ensure high operation security and reliability. In this paper, the upper level program considers transmission profit maximization in long-term planning, the lower level program considers the social welfare maximization in short-term operation. Furthermore N-1 security constraints are also considered in the model. A hybrid algorithm integrated with niche genetic algorithm and prime-dual interior method is used to solve the bi-level programming model of the transmission network expansion planning. Test results of the 18-bus system and real world 77-bus system show feasibility and right of the method.
Keywords :
genetic algorithms; power markets; power system security; power transmission economics; power transmission planning; power transmission reliability; 18-bus system; 77-bus system; N-1 security constraints; bi-level programming model; competitive electricity market; double-bidding-based pool electricity market; hybrid algorithm; multistage transmission network expansion planning; niche genetic algorithm; open access transmission; prime-dual interior method; short-term operation; transmission profit maximization; transmission reliability; Costs; Electricity supply industry; Electricity supply industry deregulation; Investments; Mathematical model; Mathematical programming; Power system modeling; Power system planning; Power transmission lines; Technology planning;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918033