碳市场下考虑混合博弈的多园区综合能源系统优化调度OA
Optimal Scheduling of Multi-park Integrated Energy System Considering Hybrid Game Under Carbon Market
为实现多园区综合能源系统低碳经济优化调度目标,提出一种综合考虑系统供能侧与负荷侧、碳激励及混合博弈的多园区综合能源系统优化调度模型.首先,考虑阶梯碳交易机制,供能侧激励不同园区综合能源系统在产能中减少碳排放量;其次,用户侧引入激励型需求响应策略,鼓励用户根据供能侧对不同负荷激励价格调整用能行为;然后,多园区综合能源系统进行电能交互供应模式,构建园区综合能源系统内供能侧与用户侧主从博弈模型,分别描述多个园区综合能源系统的供能侧与用户侧能源互动关系;同时,构建园区综合能源系统用户侧负荷及储能设备合作博弈模型,即一种综合性多园区综合能源系统优化调度混合博弈模型;最后,通过多个算例场景,验证所提方法的有效性,实现多园区综合能源系统低碳经济运行.
To achieve the objective of low-carbon and economic scheduling of a multi-park integrated energy system(MPIES),an optimal scheduling model of MPIES integrating carbon incentives and hybrid game is proposed,which al⁃so comprehensively takes into account both the energy supply side and the load side.First,a ladder-type carbon trading mechanism is adopted on the energy supply side to incentivize carbon emission reductions during energy production across different park integrated energy systems(PIESs).Second,an incentive-based demand response strategy is imple⁃mented on the user side,where the energy consumption behaviors are guided by load-differentiated incentive prices.Third,the MPIES is operated in an electrical energy interactive supply mode,and a leader-follower game model is es⁃tablished within each PIES between the energy supply side and user side,thus describing the energy interactive rela⁃tionships between the energy supply side and user side for multiple PIESs.Meanwhile,a game model is developed to co⁃ordinate the user-side load and energy storage devices of the PIES,thereby forming a unified hybrid game-based opti⁃mal scheduling model for MPIES.Finally,the effectiveness of the proposed method is validated through case studies un⁃der multiple scenarios,indicating that the low-carbon and economic operation of MPIES is realized.
于静梅;王兴隆
辽宁工程技术大学机械工程学院,阜新 123000辽宁工程技术大学机械工程学院,阜新 123000
信息技术与安全科学
多园区综合能源系统碳激励混合博弈阶梯碳交易机制激励型需求响应策略激励价格
multi-park integrated energy system(MPIES)carbon incentivehybrid gameladder-type carbon trading mechanismincentive-based demand response strategyincentive price
《电力系统及其自动化学报》 2026 (3)
89-98,10
辽宁省自然科学基金资助项目(2019-MS-160).
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