基于改进和声搜索算法与二阶锥松弛的储能优化配置

配电网中分布式电源的大量接入加剧了电网功率波动，为稳定电网功率及消纳新能源发电功率，需在电网中合理配置储能。本文基于双层规划模型将储能配置划分为规划层与运行层，并提出了基于趋向移动的全局和声搜索算法和二阶锥松弛理论相结合的储能优化配置混合算法。规划层采用以储能年投资成本与配电网年运行成本之和最小为目标函数，研究了储能配置位置、功率、容量等方面的经济效益；运行层以电网有功网损以及电压偏移之和最小为目标函数，研究了储能各时段最优充放电功率。基于某地实际数据，以33节点配电网为例进行了仿真分析，研究了不同场景下储能的配置方式以及探讨了本文混合算法的优异性。结果表明本文提出的混合算法可以顺利求解该场景下的储能配置问题，证明了本文混合算法有效性。同时，探讨了多场景下的储能配置方式，证明采用双层规划模型对储能进行配置有利于降低配电网综合成本。最后，将本文混合算法与传统智能优化算法求解此类问题进行了比较分析，证明了本文混合算法在求解此类问题上的快速性与准确性。

Optimal configuration of energy storage based on improved harmony search algorithm and second-order cone relaxation

The large-scale access of distributed power sources in the distribution network aggravates the power fluctuation of the power grid. In order to stabilize the power of the power grid and absorb the power generated by new energy, it is necessary to reasonably allocate energy storage in the power grid. In this paper, the energy storage configuration is divided into the planning layer and the operation layer based on the two-layer programming model, and a hybrid algorithm for energy storage optimization configuration combining the global harmony search algorithm based on trend movement and the second-order cone relaxation theory is proposed. The planning layer uses the minimum sum of the annual investment cost of energy storage and the annual operating cost of the distribution network as the objective function, and studies the economic benefits of energy storage configuration location, power, capacity, etc.; The minimum sum is the objective function, and the optimal charging and discharging power of energy storage in each period is studied. Based on the actual data of a certain place, a 33-node distribution network is taken as an example to conduct a simulation analysis, and the configuration methods of energy storage in different scenarios are studied and the excellence of the hybrid algorithm in this paper is discussed. The results show that the hybrid algorithm proposed in this paper can successfully solve the energy storage configuration problem in this scenario, which proves the effectiveness of the hybrid algorithm in this paper. At the same time, the energy storage configuration method in multiple scenarios is discussed, and it is proved that the use of the two-tier planning model to configure the energy storage is beneficial to reduce the comprehensive cost of the distribution network. Finally, the hybrid algorithm in this paper is compared with the traditional intelligent optimization algorithm to solve such problems, which proves the speed and accuracy of the hybrid algorithm in this paper in solving such problems.