دسته بندی:

محاسبات کوانتومی - Quantum-Computing

---

سال انتشار:

2022

---

عنوان انگلیسی مقاله:

Annealing-based Quantum Computing for Combinatorial Optimal Power Flow

---

ترجمه فارسی عنوان مقاله:

محاسبات کوانتومی مبتنی بر بازپخت برای جریان قدرت بهینه ترکیبی

---

منبع:

ieee - ieee Transactions on Smart Grid;2022;PP;99;10:1109/TSG:2022:3200590

---

نویسنده:

Thomas Morstyn

---

چکیده انگلیسی:

This paper proposes the use of annealing-based quantum computing for solving combinatorial optimal power flow problems. Quantum annealers provide a physical com- puting platform which utilises quantum phase transitions to solve specific classes of combinatorial problems. These devices have seen rapid increases in scale and performance, and are now approaching the point where they could be valuable for industrial applications. This paper shows how an optimal power flow problem incorporating linear multiphase network modelling, discrete sources of energy flexibility, renewable generation place- ment/sizing and network upgrade decisions can be formulated as a quadratic unconstrained binary optimisation problem, which can be solved by quantum annealing. Case studies with these components integrated with the ieee European Low Voltage Test Feeder are implemented using D-Wave Systems’ 5,760 qubit Advantage quantum processing unit and hybrid quantum- classical solver.
Index Terms— Distribution Network | D-Wave | Electric Vehicle | Optimal Power Flow | Power System Planning | Quantum Annealing | Quantum Computing | Smart Charging.

---

---

قیمت: رایگان

---

توضیحات اضافی:

---

---

---