43results about How to "Realize multi-objective optimization" patented technology

The invention discloses an optimal configuration method of a distributed combined cooling heating and power system. The optimal configuration method of the distributed combined cooling heating and power system includes the following steps of establishing a digital model library of various energy utilization and conversion forms of the distributed combined cooling heating and power system, wherein the model library comprises a energy model, a cost model and a pollutant discharge model; establishing a feasible configuration scheme library according to load requirements, constraint conditions and combination screening strategy, setting total configuration schemes in the configuration scheme library as N; conducting annual hourly operation strategy optimizing to each configuration scheme in the configuration scheme library according to an annual load demand curve, until working out annual operation cost, annual once energy consumption and annual pollutant discharged quantity of an ith configuration scheme, wherein the i is greater than or equal to N; and selecting a scheme which is the minimum in annual operation cost, the minimum in energy consumption and the minimum in pollutant discharged quantity or a scheme which is arbitrarily combined the minimum annual operation cost, the minimum energy consumption and the minimum pollutant discharged quantity as the best configuration scheme.

According to a multi-agent electric vehicle battery replacement scheduling method based on the Internet of Vehicles, a vehicle-road cooperative service is deployed on an MEC platform, and man-vehicle-road cooperative interaction is realized by means of a Uu interface or a PC5 interface and communication modes such as VANET, 4G or 5G; according to a map around an electric vehicle with a battery replacement service requirement, a roadside unit divides a battery replacement station cluster with a high potential cooperation matching degree into a whole and gathers the battery replacement station cluster into a battery replacement area, and the battery replacement area with the maximum service capability probability shares a plurality of electric vehicles with the battery replacement service requirement at the same time; the service rate of each battery swap station is taken as an assessment target to mainly assess the self-service capability, self-service quality and sitting information ofeach battery swap station node and the current self-state of the electric vehicle with the battery swap requirement; and the optimal joint action of global electric vehicles is provided, so that theoverall service balance of each battery swap station is maintained, and the long-term performance of the Internet of Vehicles is improved. According to the invention, the electric vehicle can exchangepower as soon as possible, and each power exchange station can maintain service balance.

The invention discloses a micro-grid energy management distribution type multi-target cooperation optimization algorithm based on a potential game. The algorithm comprises the following steps of 1) micro-grid component unit modeling which includes a determination decision main body, a decision variable, a component constraint and multi-target modeling; 2) potential game modeling, wherein an incomefunction and a potential function are vector functions; and 3) based on the distributed game solving of the multi-target optimization algorithm, mainly using a multi-target evolutionary algorithm tosolve the pareto optimal solution set of the income function, and through distributed iteration, solving nash equilibrium. In the invention, a distributed multiagent decision optimization mode is adopted, a potential game theory possessing a distributed characteristic is combined, the expansion of a microgrid is easy to realize, local management and local decision making are realized too, system reliability and flexibility are increased, through a game mode, the distributed multi-target optimization is realized, the competition and cooperate relation of the microgrid and an individual is achieved, and individual interests are guaranteed and the overall benefits of the microgrid are maximized.

The present disclosure proposes a direct prediction control method and system for circulating current suppression of a parallel converter cluster, including: obtaining the current value of the three-phase current of the converter cluster at the current moment and performing coordinate transformation and delay compensation; for the compensated three-phase Current value, predict the current value at the subsequent time, calculate the cost function according to the predicted value, compare all the cost functions, select the voltage vector with the smallest value as the optimal voltage vector; calculate the zero-sequence circulating current for the compensated three-phase current value , according to the zero-sequence circulating current direction at the current time k, select the zero-voltage vector; according to the obtained optimal voltage vector and zero-voltage vector, construct a composite voltage vector, and obtain the switching signal sent to the converter to eliminate the circulating current. On the premise of precisely controlling the output current, the zero-sequence circulating current between parallel converters can be effectively eliminated.