Multi-objective Optimization Figuration And Operation Of Generalized Power Sources In Active Distribution Network

As the complement of centralized power, general power sources(GPS)(distributed generation, capacitor banks and energy storage devise) have been widespread concerned and researched of scholars both at home and abroad because of the advantages of low investment cost, low carbon and the flexibility control mode. Large-scale GPS access, which will increase the complexity and uncertainty of ADN, furthermore, the question of power flow inverter, quality of voltage deteriorate and power supply reliability will be appear. Therefore, a reasonable optimized configuration and operation of GPS in ADN has important practical significance. The optimized configuration and operation of GPS is used as an research subjects, and the main research content is as follows:Firstly, the active-reactive power output mathematical model(distributed generation, capacitor banks) is established in this paper. Considering the temporal characteristics of DG and the demand of load side, the probability power flow calculation method is used to study the power quality question of voltage, network loss of distribution system.Secondly, the question of multi-objective optimization configuration of GPS with much goals, constraints and high dimension. Traditional algorithm in dealing with multi-objective questions tend to transform them into single objective, the selection of weight coefficient directly affects the optimization result, which makes the scheme does not fully consider the factors. Aiming at this problem, the basic particle swarm optimization algorithm is based as the carrier, and during the optimization process, the strategy of rapid non dominated sorting, elite reserve and crowding distance calculation is quoted in this paper. An improved multi-objective particle swarm optimization(IMPSO) algorithm is proposed to ensure the diversity of solutions, which is help to the actual application of engineering.Thirdly, the multi-objective optimization problems of GPS in ADN is researched in this paper. During the process, the active and reactive power of GPS and the related installation position are selected as control variables. Consider the factor of investment benefit, network loss and voltage level, and a multi-objective optimization planning model is established. Then, the model and algorithm is tested by IEEE-33 node to analyze the optimal allocation scheme of GPS under different load level.Finally, based on the principle of decomposition coordination, and a bi-level optimization model of GPS is established to study the reasonable configuration and optimal the problem of GPS in ADN. The upper-level optimization is used to determine the locate and initial size of GPS, which is based on the principle of network loss sensitivity. A intelligent optimization algorithm is proposed to solve the optimal model, which hybrids the method of probabilistic load flow and multi-objective particle swarm optimization algorithm. Finally, the model and algorithm is tested by PG&E-69 node system, and the simulation result shows that with GPS reasonable access to ADN, the network loss is decreased and the voltage level is improved, and assessment the index of voltage and network loss from the viewpoint of probability, which is helpful to improve the penetration level of distributed generation.