A Novel Scheme for Dynamic Network Expansion Planning in Deregulated Power System

作者：AmirAhmadi M^*; Foroud A Akbari; Abdoos A A

来源：International Review of Electrical Engineering, 2012, 7(2): 4257-4270.

• Dynamic Network Expansion Planning (DTEP)
• Power Market
• Genetic Binary Particle Swarm Optimization
• Fuzzy Satisfying Method

Network expansion planning is one of the most important parts of power system planning. Network planning in deregulated power system is more complicated than before due to new challenges and expectations in the competitive electricity markets. Deregulation of power system has introduced new objectives and requirements for transmission expansion planning. In this paper a new market based algorithm is proposed for dynamic network expansion planning in deregulated power systems. Investment cost, operation cost, average load curtailment cost in contingencies (reliability criterion) and congestion cost are considered as four objective functions in electricity market. By reducing above mentioned criteria the network reliability, operational flexibility and market competition are improved with minimum cost. To overcome the difficulties in solving the non-convex and mixed integer nature of the optimization problem, a Genetic Binary Particle Swarm Optimizer (GBPSO) is used. To consider the imprecision goals of the objectives, the fuzzy satisfying method has been applied here to select the preferred solution among the solution space. The planning methodology has been demonstrated on the IEEE 30-bus test system to show the feasibility and capabilities of the proposed algorithm in electricity market environment.

• 出版日期2012-4