Adequate Operation of Hybrid AC/MT-HVDC Power Systems Using an Improved Multi- Objective Marine Predators Optimizer

Abstract

This paper presents an Improved Multi-Objective Marine Predators Optimizer (IMMPO) for optimal operation of hybrid AC and multi-terminal-high voltage direct current (AC/MT-HVDC) power systems. The proposed IMMPO incorporates an external repository to conserve the non-dominated preys. Furthermore, fuzzy decision making is employed to select the best compromise operating point for the hybrid AC/HVDC power systems. In these systems, the active and reactive power controllability of the voltage source converters (VSCs) are activated besides the full control in AC grids via the committed generators, transformer tap settings and VAR compensations. The modelling of the VSC losses is integrated in its quadratic function of the converter current. The optimal operation of AC/MT-HVDC power systems is handled as a multi-objective problem for minimizing the total fuel costs, the environmental emissions of the generation units and the total losses over the AC, HVDC transmission lines and VSCs stations. For solving this problem, several recent optimization algorithms are applied on a modified standard IEEE 30bus. Also, a real part of the Egyptian West Delta Region Power Network emerged with VSC-HVDC grids is considered as a practical case study. The simulation results demonstrate the effectiveness and preponderance of the proposed algorithm with great stability indices over several competitive algorithms. Nevertheless, the proposed IMMPO is successfully extracting well-diversified Pareto solutions while a compromise operating point is effectively produced to satisfy the operator requirements.

Optimal Placement and Operation of FACTS Technologies in a Cyber-Physical Power System: Critical Review and Future Outlook

“…Elattar et al [78] and Shaheen [79] formulated models for optimal power flow in hybrid AC-multiterminal DC grid with the integration of VSC for minimizing fuel cost, total environmental emission, and power losses. Similar objectives were also presented in [80,81].…”

An Innovative Hybrid Heap-Based and Jellyfish Search Algorithm for Combined Heat and Power Economic Dispatch in Electrical Grids

“…The HBA, JSA, and proposed HBJSA are investigated to this test system, and In addition to this, a comparison between the HBA, JSA, and proposed HBJSA is conducted in Table 4 for the 48-unit system of CHP economic dispatch with respect to other reported techniques such as MRFO [28], SDA [34] TVAC-PSO [40], CPSO [40], GSO [43], modified PSO [44], OTLBO [16], and MGSO [43] and gravitational search algorithm (GSA) [45]. Additionally, crow search algorithm (CSA) [46], grey wolf algorithm (GWA) [47], salp swarm algorithm (SSA) [48], multi-verse algorithm (MVA) [49], DE [50], MPA [51][52][53], civilized swarm optimization CSO [54] and Powell's pattern search PPS [54] are applied to the CHP economic dispatch for this system. In this table, ranking order is evaluated in ascending order based on the minimum WFC.…”

Environmental/Economic Dispatch Using a New Hybridizing Algorithm Integrated with an Effective Constraint Handling Technique

“…In this problem, cost, emissions, and transmission loss were considered concurrently as the objectives of the problem. References [42] and [43] are other samples, in which an improved multi-objective marine predator optimizer was used to extract the well-distributed Pareto solutions. In [42], the cost and losses objectives were considered, while in [43], the emission was added as a new object to the problem formulation.…”