Mixed integer programming-based multi-objective distributed generation locating and sizing method

Abstract

The invention relates to a mixed integer programming-based multi-objective distributed generation (DG) locating and sizing method. Based on a DG time sequence characteristic, a multi-objective DG locating and sizing model considering DG investment, operation and maintenance costs and network loss cost is built. In order to obtain uniformly distributed Pareto front solutions, a multi-objective problem is solved by adopting a normal boundary intersection (NBI). The DG locating and sizing programming model is converted into a second-order cone programming (SOCP) model by adopting a forward-backward sweep method power flow equation of a power distribution network and a constraint relaxation strategy, and the problem is solved by adopting a CVX platform and a GUROBI solver. The combination of the SOCP model and the NBI method for solving power distribution network multi-objective programming is also suitable for other power distribution network related problems, and new ideas and computable methods can be provided for power distribution network programming and running optimization.

Description

technical field [0001] The invention relates to a distributed power supply management technology, in particular to a multi-objective distributed power supply site selection and capacity determination method based on mixed integer programming. Background technique [0002] In the context of the global energy crisis and increasingly serious environmental pollution, renewable energy power generation represented by Distributed Generation (DG) has attracted more and more attention. DG can reduce the transmission power of the line, reduce the loss of the distribution system and improve the voltage quality; improve the reliability of the distribution network. However, the access of DG also brings a series of problems to the distribution network, such as harmonic pollution, voltage increase at the access point, system bidirectional power flow, short-circuit current increase, three-phase unbalance, voltage fluctuation, etc. At the same time, these problems The existence of will also...

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Problems solved by technology

However, the access of DG also brings a series of problems to the distribution network, such as harmonic pollution, voltage increase at the access point, system bidirectional power flow, short-circuit current increase, three-phase unbalance, voltage fluctuation, etc. At the same time, these problems The existence of will also limit the access of DG

If the DG access location and capacity are appropriate, the system network loss can be reduced, network reliability and voltage quality can be improved; however, if the DG access location or capacity is unreasonable, not only will the distribution network assets be left idle, but will also bring a series of negative effects. influences

With the increasing penetration of DG in the distribution network, DG grid-connection has played an important role in alleviating the tension in power demand and improving the energy structure, but it has also brought new challenges to a series of power system optimization problems including planning. challenge

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