Towards Increasing Hosting Capacity of Modern Power Systems through Generation and Transmission Expansion Planning

Abstract

The use of renewable and sustainable energy sources (RSESs) has become urgent to counter the growing electricity demand and reduce carbon dioxide emissions. However, the current studies are still lacking to introduce a planning model that measures to what extent the networks can host RSESs in the planning phase. In this paper, a stochastic power system planning model is proposed to increase the hosting capacity (HC) of networks and satisfy future load demands. In this regard, the model is formulated to consider a larger number and size of generation and transmission expansion projects installed than the investment costs, without violating operating and reliability constraints. A load forecasting technique, built on an adaptive neural fuzzy system, was employed and incorporated with the planning model to predict the annual load growth. The problem was revealed as a non-linear large-scale optimization problem, and a hybrid of two meta-heuristic algorithms, namely, the weighted mean of vectors optimization technique and sine cosine algorithm, was investigated to solve it. A benchmark system and a realistic network were used to verify the proposed strategy. The results demonstrated the effectiveness of the proposed model to enhance the HC. Besides this, the results proved the efficiency of the hybrid optimizer for solving the problem.

Multistage AC transmission expansion planning including fault current‐limiting high‐temperature superconducting cables and multiple distributed generations to improve short‐circuit level and grid‐scale flexibility

“…The first stream of research concentrates on suppressing different short-circuit levels in the transmission grids [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In [8], the short-circuit level constraint was linearly modelled to restrict fault currents passing through the transmission grid buses below a prescribed safety threshold.…”

Transmission Expansion Planning Considering a High Share of Wind Power to Maximize Available Transfer Capability

“…It is of note that the output results of the TEP problem can affect the boundary of up to congestion bidding strategy in a nodal electricity market [24]. A scenario-driven transmission and generation planning scheme is formulated in [25] to enhance the hosting capacity, where two different algorithms, including the weighted mean of vectors optimization and sine-cosine methods, are used to solve the model. Ref.…”

A Joint Optimization Model for Transmission Capacity and Wind Power Investment Considering System Security

“…A scenario-based AC transmission investment model is put forth in [18], where combinations of load, wind, and N-1 contingency uncertainties are assessed with Monte Carlo simulation and the loading limits for the existing and candidate lines. A stochastic transmission and generation expansion planning model is formulated in [19] to increase the hosting capacity of networks and satisfy future load demands, in which two algorithms, namely, the weighted mean of vectors optimization and sine cosine algorithms, are used to solve the problem. Ref.…”