A Comprehensive State-of-the-Art Survey on the Transmission Network Expansion Planning Optimization Algorithms

Nnachi Gideon Ude,Hamam Yskandar,Richards Coneth Graham

doi:10.1109/access.2019.2936682

Abstract

Long term planning in power transmission network expansion provides a well ordered and profitable extension of power equipment and facilities to meet the expected electric energy demand with an allowable degree of reliability. However, high quality and improved reliability in energy supply have to be balanced with the available funds. The need to expand transmission network can never be over emphasized. Transmission Network Expansion Planning (TNEP) is a periodical measure that must be carried out due to dynamic societies that attract extra energy demands. It is highly important to minimize the network reinforcement and operational costs while satisfying the increase in demand imposed by technical and economic conditions over the planning horizon. Several optimization algorithms for TNEP problems have been developed and applied over the past decades. This paper presents a comprehensive state-of-the-art survey on the TNEP optimization algorithms. The approach of this paper is in the area of highlights of the various available TNEP algorithms, their applications, viability, computational complexities and drawbacks, which can aid in the identifications of the proper methods that can yield an optimal solution to TNEP problem.

Highlights

Bulk energy supply network comprises of generators, transmission lines and loads, which generate, transmit and consume the generated power respectively
The results show that optimal generation scheduling, streamlining of supply of fuel schedules, proper transmission line expansion strategies and prices policies can drastically minimize the system’s costs, unmet energy in the system and need for capacity addition
A modified 6-bus Garver transmission network test system was used as a case study and the results showed the validity of the proposed RTNEP, which are yet to be implemented in a large-scale and real Transmission Network Expansion Planning (TNEP) problem and in consideration of other types of uncertainties

Summary

INTRODUCTION

Bulk energy supply network comprises of generators, transmission lines and loads, which generate, transmit and consume the generated power respectively. The numerous variables, which exist in energy system expansion problems give way to several mathematical models developments designed for a suitable systematic way of obtaining the optimal solution to long term planning in power network expansion. Most of the current TNEP models are usually oversimplified in certain aspects such as the use of reduced network equivalents, limiting expansion operation to adding new circuits in a given corridor and limiting the planning horizon to one or few years, which do not always meet the requirements for a proper and practical TNEP To overcome such challenges, improved models and algorithms capable of considering a higher degree of detail in the TNEP problem are needed [19].

PAST REVIEW WORKS ON TNEP

MATHEMATICAL OPTIMIZATION ALGORITHMS IN SOLVING TNEP PROBLEMS

HYBRID OPTIMIZATION ALGORITHMS IN SOLVING TNEP PROBLEMS

Findings

VIII. CONCLUSION