考虑需求响应和风电不确定性的能源系统调度

将价格型需求响应的影响因素分为电、气分时自弹性和电-气交叉价格弹性，两者分别考虑价格调控下能源需求在时间、类型上的转移. 依据模糊数的物理意义对风电历史数据进行拟合；考虑不同场景的发生概率对不确定性的影响，提出基于多场景的模糊优化模型. 依据模糊规划理论，考虑价格型需求响应、风电出力和系统负荷的不确定性，建立考虑风电消纳的电-气综合能源系统源荷互动日前模糊优化调度模型. 采用模糊期望约束、模糊机会约束的等效处理方法和天然气气潮流线性化方法将非线性约束转化为线性约束并求解该模型. 算例表明，通过考虑价格型需求响应和风电不确定性，可以更加准确地模拟在不确定的市场环境下，用户在不同能源间的选择行为，同时降低用能的峰谷差，提高风电的消纳能力.

Energy system scheduling considering demand response and wind power uncertainty

The influencing factors of price demand response are divided into electricity, gas time-sharing self elasticity and electricity-gas cross price elasticity. The former considers the transfer of energy demand in time under price control, and the latter in type. The historical data of wind power was fitted according to the physical meaning of fuzzy number, and a fuzzy optimization model based on multi scene was proposed, considering the influence of different scene probabilities on the uncertainty. A day ahead fuzzy optimal scheduling model of the source load interaction of the electricity-gas comprehensive energy system considering the wind power consumption was established, based on the fuzzy programming theory, considering the price demand response, the uncertainty of wind power output and system load. The nonlinear constraints were transformed into linear constraints and the model was solved by using the equivalent treatment method of fuzzy expectation constraints, fuzzy opportunity constraints and the linearization method of natural gas flow. Examples show that, by considering the price demand response and wind power uncertainty, the user's choice behavior among different energy sources can be more accurately simulated in the uncertain market environment, while reducing the peak valley difference of energy consumption and improving the wind power consumption capacity.