Zone-Based Voltage Optimization in Distribution Grids with DGs
| Autor: | Anna Rita Di Fazio, Michele De Santis, Mario Russo, Chiara Risi |
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| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
distributed generation Linear programming Iterative method Computer science 020209 energy distribution systems 020208 electrical & electronic engineering 02 engineering and technology AC power Voltage optimisation Convexity Decentralized voltage optimization Limit (music) 0202 electrical engineering electronic engineering information engineering Quadratic programming alternating direct method of multipliers Decentralized voltage optimization distribution systems distributed generation alternating direct method of multipliers Voltage |
| Zdroj: | 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). |
| Popis: | The paper addresses the problem of optimizing the voltage profile in a radial distribution network by acting on the reactive powers provided by distributed generators. To limit the requirements for measurements and communication infrastructures, a decentralized approach is adopted to solve a voltage optimization problem. Firstly, a linear method for analyzing the steady-state operation of distribution grids is used to formulate a centralized voltage optimization problem of a network partitioned in voltage control zones. Then, overlapping variables are introduced and the lack of strict convexity of the objective function is handled by adopting the iterative method of multipliers. Finally, a fully decentralized problem is obtained by applying the alternating direction method of multipliers; it results in a quadratic programming problem to be solved in each area with a limited number of scalar variables to be exchanged. The effectiveness of the method is proved by performing numerical simulations on a 24-nodes LV distribution grid with DGs and comparing results with other methods. |
| Databáze: | OpenAIRE |
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