Optimal Configuration Of Generalized Power Sources In Distribution Network Considering Demand Response And Operation Strategy

Under pressure of the increasingly severe situation of energy and environment, all the countries of the world regard the further exploitation of clean energy as the future energy development strategy and accelerate the fundamental change of energy structure from fossil fuel-based to clean energy-based. In view of the gradual increase of penetration of distributed generation (DG), especially the intermittent DG which represented by distributed wind generation (DWG) and photovoltaic (PV), and separate planning of DG and reactive power compensation devices, it is necessary to study the comprehensive optimal configuration of active and reactive power sources. By considering the uncertainty of the DG output and the system control strategy, the integrated optimal configuration program can achieve the economical and safe operation of distribution network. The main contribution of this paper can be summarized as follows:Firstly, in order to realize collaborative optimization of economic benefit and operational efficiency, a bi-level programming model is proposed to achieve comprehensive optimal configuration of generalized power sources in distribution network. The model takes the maximum net benefit of distribution company as the upper level planning objective function, the optimal comprehensive index of network loss and voltage offset as the lower level planning objective function, which considering the day-ahead scheduling of controllable DG and capacitor.Secondly, for the purpose of solving the coordinated operation of various active and reactive power sources in the lower level planning model, an active and reactive power coordinated scheduling strategy is developed. Based on the user reponse behavior of TOU price policy under the electricity market environment, this paper has focused on the static and dynamic active and reactive power coordinated optimization. Moreover, an adaptive reactive power control strategy is proposed to control the reactive output of DG.Thirdly, the genetic algorithm with elitist strategy is proposed for the nonlinear multi-dimension mixed integer programming problem. For efficient solution of the model, hybrid chromosome coding is applied in both upper and lower level model solution in the premise of ensuring the accuracy. In addition, solving procedure of bi-level programming model is designed to improve the applicability of the algorithm.Lastly, the IEEE 33 nodes distribution system is selected as the case to study the different scenes about the following four aspects, which are planning objects. planning methods, pricing strategies and reactive power control strategies. The simulation results of example show that the configuration program using bi-level programming model is more reasonable, because the lower level model has considered the actual output of MT and capacitors. Furthermore, based on the overall consideration of the impact of TOU price policy on load, economic scheduling strategy of MT and adaptive reactive power control strategy of DG, the day-ahead active and reactive power scheduling plan has been improved, which may conductive to the safety and economic operation of power system.