计及风险规避的综合能源系统分布鲁棒优化调

随着综合能源系统的不断扩大和可再生能源并网的发展,如何提高新型能源下的电、热、气三网互联的运行效率和灵活性成为亟待解决的问题。在火力发电机组基础上,加入热电解耦的热电联产(combined heat and power,CHP)设备、电转气(power to gas,P2G)设备和储电、储热设备,构建电-热-气三网互联的综合能源系统。针对具有风电不确定性的综合能源系统,提出计及风险规避的分布鲁棒优化模型,以各发电机组的综合成本最小为目标函数,以电网、热网、气网和风电机组的约束为条件,用风险值表示风电不确定度。通过控制风险模糊概率模型中的风险值和置信度,实现系统的经济运行和优化调度,改善新能源消纳问题。最后采用IEEE 39节点系统验证了模型的可行性和有效性。

Distributional robust optimal dispatch of integrated energy system considering risk aversion

With the continuous expansion of the integrated energy system and the development of grid-connected renewable energy, how to improve the operational efficiency and flexibility of thethree-network interconnection of electricity, heat and gas under new energy has become an urgent problem to be solved. On the basis of thermal power generating units, add thermo-electro decoupled CHP equipment, P2G equipment, and electricity and heat storage equipment to build a comprehensive energy system that interconnects electricity, heat and gas. Aiming at the integrated energy system with wind power uncertainties, a distributional robust optimization model that takes into account the risk aversion is proposed. The objective is to optimize the comprehensive cost of each generator set,and the constraints of the power grid, heating network, gas network and wind turbines are taken as condition, using risk value to represent wind power uncertainty. By controlling the risk value and confidence in the risk fuzzy probability model, the economic operation and optimal dispatch of the system are realized, and the problem of new energy consumption is improved. Finally, the feasibility and effectiveness of the model are verified by the IEEE 39 system.