This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision proce...This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.展开更多
This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green powe...This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green power sources(wind turbine and photovoltaic system),power storage unit such as Hydrogen storage system with fuel cell,as well as mutual treaties are taken into account in offered model.Considering various models for uncertain parameters based on their natures such as power demand,electricity market tariffs,solar irradiation,temperature and wind speed is one of the contributions of the proposed model.Uncertainty of power demand is modeled by robust optimal method whereas remain uncertain parameters are incorporated in model by stochastic method.Considering of wind speed cased is made by Weibull distribution.While,normal distribution is utilized for production of cases for electricity market tariffs,solar irradiation and temperature.In order to reduce the bidding error loss,the storage devices are corporate with green energy in power unbalanced conditions.Combined-integer linear programming method is applied for handling of pricing method profiles that have strength against considered uncertainties on power demand of big user.The obtained results confirm,the entire electrical energy supplement expenditure of big user in absence of demand uncertainty is$39.63 whereas it is augmented up to$49.47 to achieve robustness vs.demand uncertainty.Also,using of hydrogen storage system by considering the reliability index is reduced the bidding price of the system.展开更多
随着“双碳”目标的提出,以风电为代表的可再生能源参与电力现货市场已是大势所趋。但由于具有不确定性和波动性,风电在市场中常处于不利地位。风电与具有灵活调节能力的光热电站(Concentrated Solar Power,CSP)联合能够减少实时出力偏...随着“双碳”目标的提出,以风电为代表的可再生能源参与电力现货市场已是大势所趋。但由于具有不确定性和波动性,风电在市场中常处于不利地位。风电与具有灵活调节能力的光热电站(Concentrated Solar Power,CSP)联合能够减少实时出力偏差,进而降低不平衡成本。基于此,本文针对风电—CSP电站联合参与现货市场的运行策略开展研究。首先,对风电—CSP电站联合参与现货市场的机理进行分析,在此基础上,以经济性最优为目标,综合考虑供电收益、冬季供暖收益和不平衡惩罚等因素,提出了考虑冬季供暖的风电—CSP电站联合参与电力现货市场运行策略,并基于Shapley值法对联盟收益进行分配,最后分析了储热容量对联盟收益的影响。算例表明所提联合运行策略能够充分利用CSP电站灵活性,显著提高双方收益,减少弃风损失。展开更多
负荷聚合商(load aggregator,LA)集成需求侧资源参与双重市场(能量市场和备用市场)投标,需要根据市场运营规则对具有不同行为特性的需求侧资源优化组合。文章考虑双重市场对响应资源的技术要求,从负荷削减量和响应时间2个方面体现需求...负荷聚合商(load aggregator,LA)集成需求侧资源参与双重市场(能量市场和备用市场)投标,需要根据市场运营规则对具有不同行为特性的需求侧资源优化组合。文章考虑双重市场对响应资源的技术要求,从负荷削减量和响应时间2个方面体现需求侧资源的不确定性,引入条件风险价值(conditional value at risk,CVaR)理论,考虑备用市场响应超时的违约风险,制定其在双重市场的资源集成优化投标策略,以响应电量不足期望评估聚合商参与双重市场的响应可靠性。算例分析不同风险偏好系数下聚合商利润与风险的动态关系,优化需求侧资源的容量配置,为聚合商双重市场的投标和风险度量提供参考。展开更多
文摘This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.
文摘This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green power sources(wind turbine and photovoltaic system),power storage unit such as Hydrogen storage system with fuel cell,as well as mutual treaties are taken into account in offered model.Considering various models for uncertain parameters based on their natures such as power demand,electricity market tariffs,solar irradiation,temperature and wind speed is one of the contributions of the proposed model.Uncertainty of power demand is modeled by robust optimal method whereas remain uncertain parameters are incorporated in model by stochastic method.Considering of wind speed cased is made by Weibull distribution.While,normal distribution is utilized for production of cases for electricity market tariffs,solar irradiation and temperature.In order to reduce the bidding error loss,the storage devices are corporate with green energy in power unbalanced conditions.Combined-integer linear programming method is applied for handling of pricing method profiles that have strength against considered uncertainties on power demand of big user.The obtained results confirm,the entire electrical energy supplement expenditure of big user in absence of demand uncertainty is$39.63 whereas it is augmented up to$49.47 to achieve robustness vs.demand uncertainty.Also,using of hydrogen storage system by considering the reliability index is reduced the bidding price of the system.
文摘随着“双碳”目标的提出,以风电为代表的可再生能源参与电力现货市场已是大势所趋。但由于具有不确定性和波动性,风电在市场中常处于不利地位。风电与具有灵活调节能力的光热电站(Concentrated Solar Power,CSP)联合能够减少实时出力偏差,进而降低不平衡成本。基于此,本文针对风电—CSP电站联合参与现货市场的运行策略开展研究。首先,对风电—CSP电站联合参与现货市场的机理进行分析,在此基础上,以经济性最优为目标,综合考虑供电收益、冬季供暖收益和不平衡惩罚等因素,提出了考虑冬季供暖的风电—CSP电站联合参与电力现货市场运行策略,并基于Shapley值法对联盟收益进行分配,最后分析了储热容量对联盟收益的影响。算例表明所提联合运行策略能够充分利用CSP电站灵活性,显著提高双方收益,减少弃风损失。
文摘负荷聚合商(load aggregator,LA)集成需求侧资源参与双重市场(能量市场和备用市场)投标,需要根据市场运营规则对具有不同行为特性的需求侧资源优化组合。文章考虑双重市场对响应资源的技术要求,从负荷削减量和响应时间2个方面体现需求侧资源的不确定性,引入条件风险价值(conditional value at risk,CVaR)理论,考虑备用市场响应超时的违约风险,制定其在双重市场的资源集成优化投标策略,以响应电量不足期望评估聚合商参与双重市场的响应可靠性。算例分析不同风险偏好系数下聚合商利润与风险的动态关系,优化需求侧资源的容量配置,为聚合商双重市场的投标和风险度量提供参考。
