Impact assessment of a co‐optimized dynamic line rating and transmission switching topology on network expansion planning

Abstract

Power system planning needs regular investment in transmission area to cope with the increasing load, network congestion, and large-scale integration of renewable generation. With the growth of renewable energy resources integration, electric utilities are faced with an increasingly complex operating environment. Utilities are in need of a series of cost-effective technologies which allow them to operate power systems more economically and reliably. Optimal transmission switching (OTS) and dynamic line rating (DLR) are such cost-effective technologies which offer potential solution to improve power system operation and reliability. This article develops a co-optimized network expansion planning (CONEP) model to devise an optimal investment plan for building new transmission lines and generating units while simultaneously incorporating OTS and DLR topologies. The optimization problem using CONEP is modeled as a mixedinteger linear programming problem. The objective of the optimal investment

The Role of Optimal Transmission Switching in Enhancing Grid Flexibility: A Review

“…Previous research has shown that using DTR, the transmission capacity can be increased from 15-50% and in some cases it could be up to 150% of the STR ratings [94]. In literature, DTR is utilized to increase transmission line capacity , which leads to improved RES integration [95], relieve network congestion [96], enhance system reliability [90], and can help postpone the need for building new transmission infrastructure [62]. The cost of DTR deployment is comparatively less (approx.…”

“…The main objective in including these short-term problems in the long-term problem network expansion is to exploit the operational flexibility of these two technologies, which could help in efficient utilization of the transmission infrastructure and could help in postpone/reduce additional investment in these assets. A co-optimized expansion planning model is proposed in [62] to add new generating units and transmission lines in the current network for the next 20 years. The model is used to decide the size, number, and location of the generating plants and lines for the said planning horizon.…”

“…It is showed that minimum value for big-M can be computed by finding the shortest and longest route between two buses. The authors in [62] presented a co-optimized network expansion planning model to simultaneously incorporate OTS and dynamic line rating to exploit the transmission network inherent flexibility. The model is formulated as a MILP and solved using CPLEX.…”

Exploiting the Inherent Flexibility in Transmission Network for Optimal Scheduling, Wind Power Utilization, and Network Congestion Management

“…The reliability of the joint operation of OTS and DLR is assessed in [48], where the authors showed that instead of degrading system reliability, the combined OTS and DLR topology can improve system reliability. Investment planning and transmission expansion problem using reconfigurable networks and DLR are studied in [49][39] [50]. C. RESEARCH GAP However, the current literature about the DLR enforcement with OTS in scheduling of power system network is based on deterministic modeling.…”

Assessment of dynamic transformer rating, considering current and temperature limitations

“…Nowadays, the thermal rating assessment is a relevant problem for engineers and researchers dealing with power system operation and planning. Thermal ratings have a strong impact on the optimal solution of a power system scheduling [1], a wind power integration [2][3][4], a hosting capacity of substations [5], [6], an asset management [7] among many others [8]. Moreover, due climate change problem the system operators should manage a power system with a large share of Distributed Energy Resources (DER) [9].…”