Network Reconfiguration For Increasing The Maximized Delivery Capability Of Distribution Systems

As the integration of lots of distributed generation (DG) units with distributionsystems, the problem about the maximum delivery capability of absorbing powerinjection of DG has been paid a great attention. This paper proposes a solution basedon Binary Particle Swarm Optimization (BPSO) algorithm which can maximize thedelivery capability of the distribution network without any equipment investment andincrease the efficiency in use of renewable energy.This paper uses the network reconfiguration technique together with thecontinuous power flow (CPFLOW) method to look for the optimal network topologywhich has the maximum delivery capability under all the constraints and has theability of bearing the uncertainty of loading condition and DG outputs.In PSO, according to the characteristic of distribution networks a method basedloop search is proposed to solve the problem that plenty of infeasible solutions will beproduced during the iteration. This novel method improves the computation speed andefficiency significantly.CPFLOW method is used to compute the maximum delivery capability of thegiven distribution system, and it can overcome the non-convergence of theconventional power flow solver near the bifurcation point. It can also track thecontinuous change of the loading conditions and DG outputs to improve the algorithmaccuracy and universality.Considering the uncertainty of the DG outputs, the deterministic data is replacedby the multi-scenario data to make the obtained network configuration support all thescenarios. In this way, we can simulate a real operation condition of the system.Through two large scale, unbalanced distribution systems, the methodologyproposed has been testified that it has a perfect performance and it is available andpractical in enhancing maximum delivery capability, reducing network losses, andoptimizing system operation.