Distributed solution to DC optimal power flow with congestion management

Distributed generations contribute to the supply diversity as well as competitiveness of the electric market. Electric power supplies and load users all seek to optimally allocate/utilize the energy to maximize their benefits. However, maximizing the social welfare should not be the sole objective since line congestion can lead to serious problems. This paper proposes a fully distributed solution to DC optimal power flow with congestion management. The objective is to maximize the social welfare, while maintaining the supply-demand balance and relieving transmission line congestion. The proposed algorithm only requires information exchange among neighboring participants which leads to simpler realization and less expenditure for communication network and powerful central controller comparing to traditional centralized algorithms. It is adaptive to topology changes and scalable to large systems. Simulation results of the 5-& IEEE 30-bus systems demonstrate the effectiveness of the proposed distributed algorithm and indicate its promising applications to the electric market.