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

被引:7
|
作者
Alshamrani, Ahmad M. [1 ]
El-Meligy, Mohammed A. [2 ]
Sharaf, Mohamed Abdel Fattah [3 ]
Saif, Wigdan Aref Mohammed [3 ]
Awwad, Emad Mahrous [4 ]
机构
[1] King Saud Univ, Coll Sci, Stat & Operat Res Dept, Riyadh 11451, Saudi Arabia
[2] King Saud Univ, Adv Mfg Inst, Riyadh 11421, Saudi Arabia
[3] King Saud Univ, Coll Engn, Ind Engn Dept, Riyadh 11421, Saudi Arabia
[4] King Saud Univ, Coll Engn, Elect Engn Dept, Riyadh 11421, Saudi Arabia
关键词
Available transfer capability; bi-level optimization; bilinear programming; Konno's algorithm; transmission expansion planning; wind power investment; HIGH PENETRATION; RENEWABLE GENERATION; ENERGY-STORAGE; SYSTEMS; FRAMEWORK;
D O I
10.1109/ACCESS.2023.3253201
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To have an effective transmission network and support free trading, the open and non-discriminatory access to transmission services for all market participants under all conditions is of significant concern. To this end, a sufficient value of available transfer capability (ATC) is required, which can significantly affect the electricity market efficiency. This paper constructs a methodology for reinforcing an existing transmission network considering wind power investment to enhance ATC. In this regard, a bi-level structure is adopted whose upper level is the joint transmission expansion planning (TEP) and wind power investment subject to the technical power grid limitations. After solving the upper level, a security-constrained economic dispatch (SC-ED) is formulated to acquire the optimal generation scheduling. Then, the lower level is designed to calculate the ATC. To solve this problem, the SC-ED is first replaced by its primal and dual feasibility constraints and strong duality equality. Then, these constraints are added to the upper level. The lower level is also replaced by its corresponding constraints. Consequently, a bilinear single-level optimization problem is extracted, which is further solved by employing Konno's cutting plane algorithm. The experimental results on the IEEE 24-bus RTS show the proposed method's effectiveness. It is indicated that the ATC can be improved by 27.2 % using the formulated model at the expense of more investment cost resulting in less load shedding and less wind curtailment.
引用
收藏
页码:23136 / 23145
页数:10
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