### Evaluation System  
Based on the specific situation and configuration optimization results of the PEDF system, an evaluation index system for system configuration optimization is established, considering different application scenarios and stakeholder perspectives, across three dimensions: economy, low carbon emissions, and reliability. A new building and an existing building are evaluated based on these indexes, with the existing building evaluated using the Dare-Entropy Weight-Method-Topsis Method (Dare-EW-Topsis) to comprehensively evaluate the effects of optimizing the PEDF system's configuration. The evaluation process of the PEDF system is illustrated in Figure 10. It begins with establishing an index system for the PEDF system comprising primary, secondary, and tertiary indices. Subjective weights for each index are determined using the Dare method, while the objective weights are calculated using the Entropy Weight method. An original data matrix is created based on these indices. The results are then ranked and sorted using the Topsis method, leading to the optimized configuration of the PEDF system. The evaluation indexes, along with their calculation formulas, are detailed in Appendix A. * Dare method to determine subjective weight: \[x_{i}=\frac{b_{i+1}}{b_{i}}\] (19) \[\left\{ \begin{array}{ll}y_{i}=y_{n}\times x_{i}&,i=n-1\\ y_{i}=y_{i+1}\times x_{i}\,i<n-1\end{array} \right.\] (20) \[w_{i}=\frac{y_{i}}{\frac{n}{\sum\limits_{k=1}^{n}y_{k}}},\,\,\,i=1,2, \ldots,m\] (21)where \(x_{i}\) indicates the provisional coefficient of evaluation index \(i\); \(b_{i}\) and \(b_{i+1}\) denote the importance of evaluation index for \(i\) and \(i+1\) (1-6 scale method); \(y_{i}\), \(y_{i+1}\), \(y_{n}\) are the correction coefficient for index \(i\), \(i+1\) and \(n\); \(w_{i}\) represents the subjective weight of index \(i\). Entropy Weight method to determine objective weight:  
\[y_{ij}=\frac{x_{ij}-\min x_{j}}{\max x_{j}-\min x_{j}} \tag{22}\]  
\[y_{ij}=\frac{\max x_{j}-x_{ij}}{\max x_{j}-\min x_{j}} \tag{23}\]  
\[p_{ij}=\frac{y_{ij}}{\sum\limits_{i=1}^{n}y_{ij}} \tag{24}\]  
\[h_{j}=-\frac{1}{\ln m}\sum\limits_{i=1}^{n}p_{ij}\ln p_{ij} \tag{25}\]  
\[e_{j}=1-h_{j} \tag{26}\]  
\[w_{j}=\frac{e_{j}}{\sum\limits_{j=1}^{n}e_{j}} \tag{27}\]  
Figure 10: Comprehensive evaluation process of the PEDF system. The electrical load for this building is classified as a second- or third-level load, indicating smaller load capacities and low requirements. Thus, a single-ended radial structure has been selected, utilizing a single-pole bus connection with voltage levels of DC750V, DC375V, and DC48V. Other system components are connected to the power grid via bidirectional AC/DC. The topology of the building's PEDF system is illustrated in Figure 12. The building's ample rooftop space makes it an ideal site for photovoltaic installation. Due to high solar radiation intensity and high efficiency of Poly-Si PV panels, the rooftop solar system is configured as shown in Figure 8. To manage peak shaving and valley filling, this project selected lithium-iron-phosphate batteries for their high energy density and long discharge times. Details on the configuration results are in Appendix A. Time-of-use electricity prices used in the configuration optimization process are detailed in Table 4, while Table 5 outlines optimization parameters, including photovoltaic lifespan and energy storage lifespan, among others. \[y_{ij}=\frac{x_{ij}-\min x_{j}}{\max x_{j}-\min x_{j}} \tag{22}\]0 Specific structure of the building: (**a**) new office building; (**b**) existing commercial buildings. \[y_{ij}=\frac{x_{ij}-\min x_{j}}{\max x_{j}-\min x_{j}} \tag{22}\]1 Topology of office building PEDF system.