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New energy partition layout optimization method considering space-time characteristics

ActiveCN116316854BSolve the shortcomings of ignoring the spatiotemporal characteristics of new energyStrong spatiotemporal couplingGeometric CADSingle network parallel feeding arrangementsControl engineeringGenetics algorithms
The present application relates to a kind of new energy partition layout optimization method considering space-time characteristics, comprising: establishing each partition space-time characteristic representation model, with the average value of typical month each time period photovoltaic output as whole point equivalent output;Establish new energy partition layout optimization model considering space-time characteristics, its constraint conditions include new energy scale constraint, curtailment rate constraint, power balance constraint, interzoning interconnection line power constraint and unit output constraint;Its objective function is the equivalent annual investment yield of new wind power and photovoltaic power generation installed capacity maximum;Newly added partition photovoltaic capacity, newly added partition wind power capacity and newly added wind-light space layout are output by using genetic algorithm to solve new energy partition layout optimization model considering space-time characteristics.The present application is more practical in engineering, easy to implement, at the same time, new energy power supply planning scheme is output by using genetic algorithm to solve new energy partition layout optimization model considering space-time characteristics, with fast calculation speed, good effect and the like.
Owner:ECONOMIC TECH RES INST OF STATE GRID ANHUI ELECTRIC POWER

A method and system for optimizing wind farm layout to balance noise and power generation

This invention discloses a method and system for optimizing wind farm layout to balance noise and power generation. The method includes: establishing a multi-objective optimization model for wind farm layout; setting reference points and weight vectors based on decision preference information; and generating... N P A wind farm layout is used to form a parent population; the parent population is divided into several subpopulations and searched to generate mutation vectors; local difference operations are performed on the mutation vectors to obtain candidate layout solutions; based on the candidate layout solutions, a double substitution operation is performed on each target vector to generate a offspring population; the offspring population is merged with the parent population, and the optimal layout is selected. N P This invention involves repeatedly performing an optimization process on individual wind farms, outputting optimization results, and determining whether the decision-maker's preference information needs adjustment based on the optimization results. If not, it outputs the wind farm layout. This invention increases power generation while reducing wind farm noise, and can obtain a wind farm layout scheme that matches the decision-maker's preferences.
Owner:HUNAN UNIV