在低碳政策激励下,分布式能源资源在电力系统中蓬勃发展,使其拥有者成为电力产消者。在这种新形势下,本地能源交易成为促进分布式能源发展的重要手段。为此,提出了一种非合作交易模式,使分布式能源资源可通过参与本地能源交易实现最大...在低碳政策激励下,分布式能源资源在电力系统中蓬勃发展,使其拥有者成为电力产消者。在这种新形势下,本地能源交易成为促进分布式能源发展的重要手段。为此,提出了一种非合作交易模式,使分布式能源资源可通过参与本地能源交易实现最大化资源利用。新能源的不确定性问题采用条件风险价值(conditional value at risk,CVaR)建模。在该框架下,产消者在本地能源交易中的行为采用前景理论进行建模,更实际地反映其在本地交易中对盈亏的不同看法,而非假设产消者为完全理性。在此基础上,开发了最优定价算法以帮助其在本地能源交易中利润最大化。采用4个相关算例验证了通过该方法引导产消者的交易行为以实现利润最大化的有效性。展开更多
This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously a...This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system's accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology's usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.展开更多
基金英国工程和自然科学研究委员会(Engineeringand Physical Sciences Research Council,EPSRC)项目(SupergenEnergy Networks Hub,EP/S00078X/1)。
文摘在低碳政策激励下,分布式能源资源在电力系统中蓬勃发展,使其拥有者成为电力产消者。在这种新形势下,本地能源交易成为促进分布式能源发展的重要手段。为此,提出了一种非合作交易模式,使分布式能源资源可通过参与本地能源交易实现最大化资源利用。新能源的不确定性问题采用条件风险价值(conditional value at risk,CVaR)建模。在该框架下,产消者在本地能源交易中的行为采用前景理论进行建模,更实际地反映其在本地交易中对盈亏的不同看法,而非假设产消者为完全理性。在此基础上,开发了最优定价算法以帮助其在本地能源交易中利润最大化。采用4个相关算例验证了通过该方法引导产消者的交易行为以实现利润最大化的有效性。
文摘This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system's accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology's usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.
