Under China's “Dual Carbon” strategy and the accelerated construction of a new-type power system, the high-proportion integration of distributed renewable energy has become an inevitable trend in distribution network development. However, power system planning, design, and operation departments face the following core challenges：

• Inaccurate Hosting Capacity Assessment: Traditional methods struggle to integrate multi-source data (e.g., weather, renewable volatility, weak grid support), leading to imprecise renewable output curve predictions. This results in significant deviations in system-level and equipment-level hosting capacity evaluations, causing recurring issues like voltage limit violations, equipment overloads, and insufficient integration capability.

• Difficulty in Optimizing Planning Schemes: Scheme comparisons for power source planning and network expansion rely heavily on manual experience. Quantifying economic efficiency, low-carbon benefits, and multi-objective trade-offs is challenging, leading to inefficient iterative revisions. This hinders compliance with grid companies' Distribution Network Hosting Capacity Assessment Guidelines and dual-carbon targets. The lack of scientific, quantitative analysis tools in the planning stage undermines the credibility of final plans.

• Inadequate Full-Scene Simulation Capability: Generating realistic scenarios is difficult and steady-state power flow, short-circuit, harmonic analysis, and control strategy validation are often disconnected. Comprehensive simulation covering macro-planning to micro-transient dynamics is unattainable. GIS modeling and complex control logic implementation pose high technical barriers. Crucially, traditional methods fail to employ full electromagnetic transient simulation during planning, preventing accurate stability and system strength assessments post-DER integration.

• Weak Decision Support: The absence of visual dynamic trend analysis and automatic risk identification reduces the scientific rigor of planning reports. This elevates project review and implementation risks while keeping manual modeling costs persistently high.

SuperPlan — developed by Shanghai KeLiang Information Technology Co., Ltd. — addresses these challenges as an energy planning simulation software. Leveraging an advanced power system simulation engine, it focuses on distribution network planning and hosting capacity assessment for high-penetration distributed renewable integration under new power systems. The software delivers an end-to-end solution for power planning, design, and operation units, covering:

Data modeling → Hosting capacity quantification → Scheme optimization → Risk verification → Decision-making closure.

SuperPlan targets Generation-Grid-Load-Storage interactive systems, supporting multi-time-scale (second-level to year-level), multi-scenario (current status, planning, extreme weather), and multi-source data-driven modeling and simulation analysis.

1. Load & Renewable Forecasting with Hosting Capacity Analysis

• Accurate load profile prediction for distribution grids/industrial parks based on historical load curves, weather data, and industrial processes.

• Automated generation of planning output curves by integrating multi-year meteorological and renewable generation data.

• Comprehensive data aggregation from power sources, grids, loads, and flexible resources to compute system-level and equipment-level hosting capacity.

• Mid-long term quasi-dynamic simulation: Visualizes dynamic voltage/power demand trends and auto-identifies risk points (e.g., voltage violations, overloads) post-DER integration.

• Outputs hosting capacity intervals per voltage level under safety constraints (e.g., transformer reverse load ratio limits), with granular breakdown to sub-regions.

2. Automated Scheme Generation and Multi-Objective Optimization

• Automatically generates multiple schemes based on existing grid frameworks, load distribution, multi-energy flows, and distributed power integration plans.

• Employs multi-objective optimization algorithms to simultaneously address safety, construction costs, and carbon emissions in tri-dimensional evaluation.

• Provides a visual comparison interface supporting interactive adjustments for multi-energy flows, equipment selection, integration schemes, and circuit routing.

3. Full-Scenario Simulation Analysis for Distribution Networks

• Supports core functions including steady-state power flow calculation, short-circuit current calculation, and harmonic analysis.

• Employs enhanced power flow algorithms for high-penetration scenarios, accurately reflecting voltage distribution, grid loss levels, and reverse power flow characteristics.

• Short-circuit module enables multi-type fault calculations; Harmonic module identifies dominant harmonic sources, evaluates distortion rates, and supports mitigation planning.

4. Full-Scale Electromechanical-Electromagnetic Modeling Capability

• Dual-mode simulation: Combines large-scale electromechanical transient modeling with high-precision electromagnetic transient modeling.

• GIS-based geographic wiring diagram modeling: Directly designs circuit routing and equipment layouts on spatial map substrates.

• Graphical control block development: Features a built-in library for drag-and-drop construction of dual-loop converter controls and complex logic, significantly lowering development barriers.

• Hosting capacity assessment & verification for high-penetration distributed PV/wind integration

• Medium-to-long-term planning and rolling revisions for distribution grids

• Source-Grid-Load-Storage coordinated planning for zero-carbon cities/parks

• Multi-energy flow energy management and integrated energy system planning

• Weakness identification, grid structure optimization, and operational risk assessment for distribution networks

• Access scheme review for renewable projects, energy storage configuration optimization, and preliminary planning support for virtual power plants

• Data-Driven Decision-Making: High-precision simulation models eliminate safety risks from arbitrary manual planning, ensuring all reports are data-backed.

• Efficient Delivery: Automated generation + multi-objective optimization + visual comparison significantly reduce planning cycles and manual modeling costs.

• Regulatory Compliance: Fully aligns with State Grid guidelines, new power systems paradigms, and dual-carbon compliance requirements, facilitating smooth project reviews.

• End-to-End Integration: Seamlessly interfaces with SimuNPS electromechanical-electromagnetic simulation software, extending planning results to detailed control strategy validation.

SuperPlan significantly shortens planning cycles and reduces manual modeling costs through a one-stop closed-loop process from data-driven modeling to multi-objective optimization and full-scale risk verification. It provides robust data support for planning reports, ensuring project reviews are smoothly approved while complying with State Grid’s Distribution Network Hosting Capacity Assessment Guidelines and dual-carbon compliance requirements.