Wind Turbine Control SystemsElectric Power System OptimizationPower System Reliability and Maintenance

Tianhui Meng, Jilai Yu, Zhongkai Yi

2026.3.1Journal of Renewable and Sustainable Energy

DOI: 10.1063/5.0313861

Abstract

To mitigate the uncertainty of wind power integration and enhance the techno-economic competitiveness of wind power operators in the spot electricity market, the optimal joint operation of wind farms and flexible loads is crucial. To this end, this paper proposes a performance evaluation system for the wind farm-flexible load joint operation system (WF-FLJOS) to quantify the optimality of different operational schemes. The proposed multidimensional evaluation framework encompasses technical, economic, and environmental indices to assess the benefits brought by WF-FLJOS for the wind farm, flexible loads, and the main grid. To render this, first, the weights derived from the order relation analysis (G1) and the criteria importance through intercriteria correlation methods are coupled using the principle of minimum discrimination information to generate integrated weight values. Then, a self-decision mechanism for wind farm output deviation rate tiers is introduced by developing an operational model for the WF-FLJOS that participates in the day-ahead energy and frequency regulation markets. Finally, multiple alternative operating schemes for the WF-FLJOS are quantified and ranked based on the technique for order of preference by similarity to ideal solution method. Case studies demonstrate that the joint operation mode not only improves the benefits for the wind farm and flexible loads but also lessens the regulation burden of the main grid. Furthermore, the proposed evaluation system effectively measures the comprehensive benefits of the WF-FLJOS and facilitates the selection of the optimal operational scheme.

Citation format

MENG, Tianhui; YU, Jilai; YI, Zhongkai. Performance evaluation and optimal operating scheme selection for a wind farm-flexible load joint operation system. Journal of Renewable and Sustainable Energy, 2026, 18(2).