# A Review of Distribution Grid Consumption Strategies Containing Distributed Photovoltaics
## 3 Distribution Grid Consumption Strategy with Distributed PV
#### 3.1.3 Distributed PV Siting and Capacity Strategy
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Algorithm Name** & **Sophistication** & **Accurate** & **Algorithm Advantages** & \begin{tabular}{c} **Algorithm** \\ **Disadvantages** \\ \end{tabular} \\ \hline Improved genetic & & & \begin{tabular}{c} Introduces non-dominated \\ sorting, high computational \\ efficiency, and high diversity \\ of populations. \\ \end{tabular} & \begin{tabular}{c} Computationally \\ time-consuming, loss of \\ satisfactory solutions, \\ need to specify the \\ shared radius. \\ \end{tabular} \\ \hline Pollen pollination & & & \begin{tabular}{c} Strong exploitation, fast \\ search, and continuous \\ optimization. \\ \end{tabular} & \begin{tabular}{c} Prone to local \\ optimization and \\ shared radius needs to \\ be specified. \\ \end{tabular} \\ \hline Butterfly optimization & & & \begin{tabular}{c} Easy to implement, good \\ convergence, and applicable \\ to various types of \\ optimization problems. \\ \end{tabular} & \begin{tabular}{c} Convergence \\ stagnation \\ phenomenon and low \\ processing efficiency. \\ \end{tabular} \\ \hline Firefly optimization & & & \begin{tabular}{c} Can optimize single-peak and \\ multi-peak functions, strong \\ local search capability, simple \\ implementation, and \\ few parameters. \\ \end{tabular} & \begin{tabular}{c} Strong dependency and \\ easy to oscillate. \\ \end{tabular} \\ \hline Optimization algorithm for & & & \begin{tabular}{c} Strong search capability, good \\ solution accuracy, \\ and robustness. \\ \end{tabular} & \begin{tabular}{c} Insufficient post-search \\ capability and \\ insufficient interval \\ localization accuracy. \\ \end{tabular} \\ \hline Ant colony optimization & & & \
\begin{tabular}{c} Easy to implement, can \\ handle complex problems, \\ non-linear problems, and \\ large-scale problems, and \\ adaptively adjust parameters. \\ \end{tabular} &
\begin{tabular}{c} Slow convergence, \\ premature convergence, \\ and “stagnation”. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._the world, especially in European countries where PV development is more advanced. In Germany, the European PV giant, the impact of PV plant siting on the existence of power system flexibility requirements has been studied [35], which shows that the location of the PV system significantly affects the amount of reserve required, and distributed PV systems can relatively reduce this requirement compared to centralized PV systems so decentralized siting is particularly important. In addition, during the access process, PV can cause a little shock to the grid. In order to improve the PV carrying capacity of the low-voltage grid, it is proposed to apply a voltage sag control method [36], which improves the effective control of the transformer during PV power generation, which can increase the accommodating capacity of the grid and eliminates the need for centralized controllers. In Germany, small PV systems are widely used in homes. How to design their optimal size and select the optimal capacity is a question that deserves to be investigated; MPPT charge controllers are a promising solution [37]. This approach can effectively reduce the cost of the system and assist in selecting the optimal capacity. MPPT charge controllers can be used in the selection of PV for a single household, but for collective residential buildings, it is not possible to establish the size of the PV in this way. At this point, an integrated solar system combining solar PV with collector heat storage has been proposed [38] to allow the subsystems to operate in concert to meet the building loads while exploring the power-to-heat process. A ray-tracing method for spatial and temporal calculation of large-scale PV capacity factors has also been proposed [39], which has the advantage of determining PV capacity factors for different environments as a basis for capacity establishment. This method not only determines the capacity of a city but also extends the environment to the whole world. PV sitting is also an important aspect of Spanish PV research.