A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating c...A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating company(Genco)was defined as the profit from the energy auction market minus maintenance cost and risk loss.The compensation fee of interruptible load was a part of the maintenance cost when the permitted maintenance capacity in the system was insufficient.Hourly energy auction was incorporated in the computation of both revenues from energy market and risk loss of maintenance strategy as a nested game.A new heuristic search algorithm for the calculation of the game equilibrium of MSU was presented,which coordinates the solutions of non-equilibrium,unique equilibrium and multiple equilibria.Numerical results for a two-Genco system and a realistic system were used to demonstrate the basic ideas and the applicability of the proposed method,as well as its computational efficiency.展开更多
Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicat...Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicating and handling the uncertainties associated this subject to a great extent hamper its development. In this paper, an analytical framework based on a multi-portfolio setup in presence of a deregulated power market is proposed to address such challenges by adopting the thinking in modern portfolio theory (MPT). A Numerical example that targets on analyzing the risk and return for various flexibility pricing strategies are presented to illustrate some features of the framework.展开更多
为适应国内电力市场发展,灵活应对电价不确定性,文中以国内电力市场建设现状为基础,重点围绕发电企业在日前市场下的交易展开研究。综合考虑由于日前出清电价存在不确定性而造成的影响以及碳排放权交易成本,构建了在参与日前电能量市场...为适应国内电力市场发展,灵活应对电价不确定性,文中以国内电力市场建设现状为基础,重点围绕发电企业在日前市场下的交易展开研究。综合考虑由于日前出清电价存在不确定性而造成的影响以及碳排放权交易成本,构建了在参与日前电能量市场与辅助服务市场时发电企业的联合报价模型。日前电价的不确定性通过获取典型电价场景并基于Kantorovich距离的向前选择方法进行场景削减。基于条件风险价值(conditional value at risk,CVaR)将发电企业选择竞价策略时的风险偏好进行量化并建立模型,再对所提模型进行计算求解得到相应的报价策略。算例分析结果表明,所提模型可以为发电企业提供有效的报价策略,灵活应对电价波动。相较于不参加二次调频辅助服务市场时发电企业收益得到提升,且企业可根据自己的风险偏好更改模型中的风险因子,以得到理想报价策略。展开更多
基金The National High Technology Research and Development Program of China(863Program)(No.2005AA505101-621)Important Science and Technology Research Project of Shanghai(No.041612012)
文摘A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating company(Genco)was defined as the profit from the energy auction market minus maintenance cost and risk loss.The compensation fee of interruptible load was a part of the maintenance cost when the permitted maintenance capacity in the system was insufficient.Hourly energy auction was incorporated in the computation of both revenues from energy market and risk loss of maintenance strategy as a nested game.A new heuristic search algorithm for the calculation of the game equilibrium of MSU was presented,which coordinates the solutions of non-equilibrium,unique equilibrium and multiple equilibria.Numerical results for a two-Genco system and a realistic system were used to demonstrate the basic ideas and the applicability of the proposed method,as well as its computational efficiency.
文摘Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicating and handling the uncertainties associated this subject to a great extent hamper its development. In this paper, an analytical framework based on a multi-portfolio setup in presence of a deregulated power market is proposed to address such challenges by adopting the thinking in modern portfolio theory (MPT). A Numerical example that targets on analyzing the risk and return for various flexibility pricing strategies are presented to illustrate some features of the framework.
文摘为适应国内电力市场发展,灵活应对电价不确定性,文中以国内电力市场建设现状为基础,重点围绕发电企业在日前市场下的交易展开研究。综合考虑由于日前出清电价存在不确定性而造成的影响以及碳排放权交易成本,构建了在参与日前电能量市场与辅助服务市场时发电企业的联合报价模型。日前电价的不确定性通过获取典型电价场景并基于Kantorovich距离的向前选择方法进行场景削减。基于条件风险价值(conditional value at risk,CVaR)将发电企业选择竞价策略时的风险偏好进行量化并建立模型,再对所提模型进行计算求解得到相应的报价策略。算例分析结果表明,所提模型可以为发电企业提供有效的报价策略,灵活应对电价波动。相较于不参加二次调频辅助服务市场时发电企业收益得到提升,且企业可根据自己的风险偏好更改模型中的风险因子,以得到理想报价策略。
