Site selection and constant volume optimization planning method for energy storage device in comprehensive energy system

Abstract

The invention discloses a site selection and constant volume optimization planning method for an energy storage device in a comprehensive energy system. According to the method, when an energy storagedevice is connected to a power distribution network node, an energy storage site selection multi-objective optimization model taking node voltage fluctuation, system load fluctuation and minimum energy storage configuration cost as objectives and taking power grid safety constraint, system operation power balance constraint, heat supply network constraint, cooling network constraint and energy storage operation constraint as constraints is established. In the model solving process, a fitness and interest difference sorting method is applied, weighting coefficients of different target functions are set through a quantitative method, the multi-target function optimization problem is integrated into a single-target function optimization problem, and the optimal access position and the optimal configuration capacity of the energy storage device are obtained through solving by using a particle swarm algorithm of simulated annealing.

Description

technical field [0001] The invention belongs to the technical field of energy storage device planning in an integrated energy system, and in particular relates to a multi-objective optimization modeling energy storage device energy demand and optimal access location technology in key nodes of a distribution network. Background technique [0002] In the integrated energy system, considering the large-scale integration of distributed power into the grid and multiple loads of cooling, heating and power, the large-scale use of distributed power can reduce route losses and increase node voltage levels. However, the fluctuation and uncertainty of its output power It aggravates the fluctuation of grid load and node voltage, and reduces the quality and reliability of the power system. The energy storage device has the ability of bidirectional flow of energy, high speed and high efficiency of charging and discharging. After connecting to the key nodes of the distribution network, it ...

AI Technical Summary

Problems solved by technology

At present, the commonly used target optimization algorithms include differential evolution algorithm, genetic algorithm, artificial immune algorithm, etc. However, the above-mentioned algorithms have low computational efficiency and slow convergence speed in the solution process.

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