期刊
IEEE ACCESS
卷 9, 期 -, 页码 157295-157305出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3130577
关键词
Wind power generation; Power systems; Power generation; Photovoltaic systems; Power system stability; Power supplies; Adaptive systems; Agent modeling; complementarity; complex adaptive system; multi-energy power system; power planning
资金
- National Key Research and Development Program of China [2017YFB0902200]
- Science and Technology Project of State Grid Corporation of China [5228001700CW]
This paper focuses on maximizing new energy consumption in multi-energy power systems by using complex adaptive system theory to adjust node positions and capacities of different types of power sources. The planning method proves effective through simulation results based on actual meteorological and operational data.
Vigorously developing new energy is an important measure to deal with the energy crisis and environmental degradation, but the volatility and randomness of its output have brought great challenges to the new energy consumption. In this paper, the maximum new energy consumption is taken as the objective function, and the power flow constraints, multi-energy source capacity constraints and electrical constraints are taken as the constraints. Based on the complex adaptive system theory, the minimum construction step size of new energy sources is taken as the agent for modeling, focusing on the coordination among multiple sources, adjusting the installed node position and capacities of various types of power sources to obtain the optimal layout of power sources for multi-energy power systems. Based on the actual meteorological and operational data of a regional power grid in Northwest China, the original power system is re-planned. The simulation results verify the effectiveness of the proposed planning method.
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