Benders Decomposition‐Based Power Network Expansion Planning According to Eco‐Sizing of High‐Voltage Direct‐Current System, Power Transmission Cables and Renewable/Non‐Renewable Generation Units

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

ABSTRACT High‐voltage DC (HVDC) systems are taken into consideration while simultaneous generation and transmission expansion planning in this paper. It is based on the placement sizing of generating units, AC cables, HVDC systems. Within system, reactive power network may be managed by substations equipped with AC/DC DC/AC electronic converters, respectively. Plan takes form a bi‐stage optimization, where upper level aims to minimize yearly cost constructing items stated, taking account constraints related size investment budget. Minimization costs units energy losses lower‐level problem. Linearized flow model operating parameters both non‐renewable renewable bind goal function. To simulate uncertainty demand electricity, stochastic optimization used. Utilizing Benders decomposition approach, problem solved best solution extracted. Numerical outcomes derived from several cases demonstrate plan's potential enhance network's technical economic features. In comparison studies, (operating) status improved around 10% (10–40%).

Язык: Английский

Optimised Allocation of Distributed Generation and Electric Vehicles Integration in Microgrids: A Multi‐Criteria Approach

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

ABSTRACT This paper presents the allocation and planning of renewable distributed generations such as wind turbines photovoltaic systems, non‐renewable generators fuel cells in microgrids that incorporate electric vehicle parking lots while considering financial, operational voltage stability goals. The proposal is modelled form a bi‐objective optimisation problem. One objective functions minimises generators’ cost microgrid's cost, other function maximises index. problem solved, satisfying technical constraints power flow, network operational, limits incorporating models vehicles resources. ε‐constraint‐based Pareto solution used to determine single‐objective formulation next step. Then, fuzzy decision‐making tool derives compromise solution. Finally, Crow Search algorithm finds trustable optimal performance validated on standard microgrid using numerical analyses shows can effectively economic conditions.

Язык: Английский

Optimal charging station placement of electric vehicles in the smart distribution network based on the mixed integer linear programming

International Journal of Electrical Power & Energy Systems, Год журнала: 2025, Номер 168, С. 110675 - 110675

Опубликована: Апрель 15, 2025

Язык: Английский