Planning Of Distributed Photovoltaic Generations Considering Investor Benefits And Active Distribution Network Management

At present,with the continuous opening of the domestic electricity market,the maturity of photovoltaic technology and the promotion of national photovoltaic poverty alleviation policy,distribution network companies no longer monopolize the investment construction of distributed photovoltaic power,and some energy suppliers begin to participate as photovoltaic investors.As green renewable energy,distributed photovoltaic can not only alleviate the tense power supply pattern,but also bring considerable benefits to photovoltaic investors.However,under the traditional passive management mode of "installation is forgotten",the access of photovoltaic power supply has brought certain impact to the distribution network,and the positive role of photovoltaic grid-connected may be difficult to reflect.In order to effectively control the grid-connected photovoltaic power supply and change the passive management mode of traditional distribution network,the concept of active distribution network management emerged as the times require.Compared with the traditional distribution network,the active distribution network effectively controls the grid-connected distributed power supply by means of integrated active management measures of source/grid/load with the help of information and communication technology,modern power electronics technology and operation and control technology.Considering the above background,this paper proposes to construct a distributed photovoltaic power generation planning model,which takes into account investors benefits and active distribution network management.Firstly,the research status and characteristics of distributed photovoltaic power supply and active distribution network are analyzed.Secondly,in order to improve the computing efficiency,the improved K-means clustering method is used to reduce the whole year's scene set,and K reduced scenarios and the probability of each scenario are obtained.The improved K-means clustering method uses scene difference to select the initial clustering center,which can effectively overcome the defect that K-means clustering method is sensitive to the initial clustering center.Then,based on the scene output of photovoltaic power supply,a bi-level planning model of distributed photovoltaic power supply is constructed,in which the outer planning model optimizes the installation capacity of photovoltaic power supply aiming at maximizing the annual net income of photovoltaic investors,the inner planning model optimizes each clustering scenario through active management measures of source/grid/load to achieve the maximum annual absorption rate of photovoltaic power supply.Then a new parallel differential harmony search algorithm is constructed by combining computer parallel technology with differential harmony search algorithm to solve the problem of large amount of computation and long time-consuming in bi-level planning model.Finally,the simulation calculation of the distribution network system with IEEE 33 nodes is taken as an example,and the results verify the rationality of the proposed planning model and solution method.