--- title: AC-OPF | SpinForge url: https://spin-forge.com/solvers/ac-opf description: Solve AC optimal power flow with an interior-point method and exact sparse Hessians. --- Garmo Solvers SPINFORGE / A GARMO LABS COMPANY # AC-OPF Solve AC optimal power flow with an interior-point method and exact sparse Hessians. [Explore the family](https://spin-forge.com/solvers) [Talk about your workload](https://spin-forge.com/contact) Customer outcome [Build better plans and decisions](https://spin-forge.com/platform/checked-decisions) GARMO SOLVERS · S16 ## [AC Optimal Power Flow and State Estimation](https://spin-forge.com/proof/s16) 7.8 s case2869 AC-OPF (CPU) 27.5 s case9241 on GPU 1.18 s 25k-bus state estimation open RTE cases diverge [Full result, charts and conditions](https://spin-forge.com/proof/s16) THE PRODUCT, IN PRACTICE ## Solve AC optimal power flow with an independent check Solve AC optimal power flow with an interior-point method and exact sparse Hessians. It is a newer Garmo Solvers module from the October 2026 benchmark campaign, outside the 1.0.2 release. Results are checked against the original input; the measured result below states where it is ahead and where it is not. BUILT FOR Grid operators, utilities and power-system planning teams with AC optimal power flow workloads. CHALLENGES PRODUCT RESPONSE ## The problem you face. What the product changes. YOUR CHALLENGE WITH AC-OPF 01 ### The problem needs the right operation An AC optimal power flow case in MATPOWER format (PGLib-OPF). Solve AC optimal power flow with an interior-point method and exact sparse Hessians. 02 ### A result must answer the original question An answer detached from its original constraints or input is difficult to rely on. The suite rechecks the answer against the original input and identifies the applicable result state. 03 ### The comparison needs a defined scope A capability or benchmark result is not a universal promise for a different workload. Evaluate the selected input, resource budget, complete cost and required certificate against your baseline. WHAT YOU GET ## A defined capability. A useful result. 01 ### Selected solving capability Solve AC optimal power flow with an interior-point method and exact sparse Hessians. 02 ### Original-input result Generator dispatch and bus voltages, checked by an independent branch-level power-balance verifier. 03 ### Common access Run it as garmo powerflow opf or through the garmo-mcp server; headless execution fits scripts and automated workflows. 04 ### Checked result Power balance is rechecked from branch physics without the solver's own admittance matrix. GARMO SOLVERS / MEASURED RESULT ## Measured: case2869 in 7.8 s PGLib-OPF case5 to case2869 match the published AC optimum. case2869 solves in 7.8 s on CPU against the PGLib published Ipopt time of 13 s (different machine); case9241 solves on the GPU in 27.5 s. Large RTE cases still diverge. Source: Garmo Labs benchmark campaign, October 2026. Results apply to the stated inputs, hardware and conditions; they are not universal competitor rankings. [See the measured result and charts](https://spin-forge.com/proof/s16) EXAMPLE CUSTOMER WORKFLOW ## Use AC-OPF in a defined workflow A customer has a supported model and wants an accepted result without adopting every other module. Illustrative customer use—not a new benchmark or completed customer deployment. 1. 01 Provide the original input and define the useful outcome. 2. 02 Run the selected module under its supported resource and interface scope. 3. 03 Review the returned answer, original-input checks and completion state. FIT & ACCEPTANCE ## Start with the task. Agree the useful outcome. What you bring An AC optimal power flow case in MATPOWER format (PGLib-OPF). What a useful evaluation measures - + Accepted original-model result - + Appropriate certificate or disclosed uncertified state - + Total time, memory and operating cost Delivery License the selected capability, commission an implementation, or agree an operated service. Infrastructure and additional engineering are specified separately. QUESTIONS BEFORE BUYING ## A clear scope. A clear relationship. **What is the important boundary? − **Large RTE cases still diverge; those are open work, not supported results. **How is it priced? + **No new standalone price is supplied for this product; request a scoped proposal. The platform plans buy qualified workflows and capacity, not a second charge every time a compatible method is selected. Existing bundle inclusions do not expand automatically. **How do we get access? + **Available through garmo CLI and garmo-mcp, including headless execution. Product-specific inputs, runtime dependencies, budgets and result checks remain explicit. PUT THE PRODUCT TO WORK ## Tell us what needs to improve. Bring a task, an accepted outcome and the environment in which the product needs to work. [Discuss this workflow ](https://spin-forge.com/contact?product=solvers%2Fac-opf&brief=Product%3A+AC-OPF%0AOur+challenge%3A%0AOur+workload%2Finput%3A%0AExpected+result%3A%0AAcceptance%3A+Accepted+original-model+result%3B+Appropriate+certificate+or+disclosed+uncertified+state%3B+Total+time%2C+memory+and+operating+cost%0AEnvironment+and+delivery+preference%3A%0A) PRODUCT RELATIONSHIPS ## Related, not interchangeable. [RELATED PRODUCT ### UNISOLVE One headless solver platform for compatible method selection, mixed-capability solving and source-bound result checks.](https://spin-forge.com/unisolve) ONE PLATFORM ## Choose a qualified workflow. Select the capability you need directly or include its compatible role in a qualified platform workflow. Production scope identifies release, environment, capacity and support; a product count is not an entitlement. [Explore monthly plans](https://spin-forge.com/plans) [See the system connections](https://spin-forge.com/system-synergies/product-map) START WITH THIS PRODUCT Use the software directly or ask us to scope the implementation. [Software access](https://spin-forge.com/plans?product=solvers/ac-opf) [Have us do the work](https://spin-forge.com/contact?product=solvers/ac-opf&delivery=engineering)