Comparison of Meta-Heuristics for the Planning of Meshed Power Systems

  title={Comparison of Meta-Heuristics for the Planning of Meshed Power Systems},
  author={Florian Sch{\"a}fer and Jan-Hendrik Menke and Martin Braun},
  journal={2020 6th IEEE International Energy Conference (ENERGYCon)},
The power system planning task is a combinatorial optimization problem. The objective function minimizes the economic costs subject to a set of technical and operational constraints. Meta-heuristics are often used as optimization strategies to find solutions to this problem by combining switching, line reinforcement or new line measures. Common heuristics are genetic algorithm (GA), particle swarm optimization (PSO), hill climbing (HC), iterated local search (ILS) or newer methods such as grey… 

Figures and Tables from this paper

A Hybrid Optimization Method Combining Network Expansion Planning and Switching State Optimization

A hybrid optimization method combining both methods to solve the combined optimization of SSO and NEP, which is able to find a higher number of valid AC-solutions in comparisons to the mathematical programming methods.

Local search algorithms based on benchmark test functions problem

The capacity of local search algorithms in the resolution of engineering optimization problem including benchmark test functions is reviewed, and the use of localsearch algorithms, mainly Simulated Annealing and Great Deluge according to solve different problems is presented.

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

A general methodology to generate benchmark datasets and its voltage level dependent implementation is described in this paper and SimBench, a comprehensive dataset for the low, medium, high and extra-high voltage level, is presented.

A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios

Next to building insulation, heat pumps driven by electrical compressors (eHPs) or by gas engines (geHPs) can be used to reduce primary energy demand for heating. They come with different investment



Selecting a Meta-Heuristic Technique for Smart Micro-Grid Optimization Problem: A Comprehensive Analysis

A detailed review of micro-grid operation cost minimization techniques based on an exhaustive survey and implementation is conducted and a proposed SMG is modeled which incorporates utility connected power resources.

A Framework for Optimal Planning in Large Distribution Networks

Large scale distribution system planning is a relatively complex and reasonably difficult problem. This paper proposes the application of improved genetic algorithm (GA) for the optimal design of

Integrated Distribution Systems Planning to Improve Reliability Under Load Growth

The outcomes demonstrate that the lowest cost plan results when all technologies are incorporated as proposed in this paper, and highlight the applicability of this method for solving the distribution network planning problem.

Recent advances on power distribution system planning: a state-of-the-art survey

The rise in installation/reinforcement and maintenance costs of power distribution systems enforces the planner to adopt an optimal strategy during system planning. The planning should be uch that

Heuristic optimisation for automated distribution system planning in network integration studies

This study outlines an approach for the automated distribution system planning that can calculate network reconfiguration, reinforcement and extension plans in a fully automated fashion that allows the estimation of the expected cost in massive probabilistic simulations of large numbers of real networks.

Optimization techniques applied to planning of electric power distribution systems: a bibliographic survey

A comprehensive survey of the models and methods used to solve planning problems of PDS expansion, the focus being on classical optimization problems, including distributed energy resources in a modern power system era are discussed.

Multi-Objective Power System Expansion Planning with Renewable Intermittency and Considering Reliability

  • P. PraveenSaheli RayJoyashree DaslA. Bhattacharya
  • Engineering
    2018 Internat2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)ional conference on computation of power, energy, Information and Communication (ICCPEIC)
  • 2018
This article deals with the multi-objective integrated generation and transmission expansion planning, the problem of determining new generating units and lines to supply the increased load demand within certain system constraints, and a two objective function model with minimization of investment and operation cost is solved.