| 引用本文: | 文 旭,王俊梅,郭 琳,颜 伟.计及污染气体排放风险的多目标随机动态环境经济调度模型[J].电力自动化设备,2015,35(5): |
| WEN Xu,WANG Junmei,GUO Lin,YAN Wei.Multi-objective stochastic and dynamic model of environmental and economic dispatch considering gas pollution emission risk[J].Electric Power Automation Equipment,2015,35(5): |
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| 摘要: |
| 在风电出力具有随机性的环境下，针对现有环境经济调度模型无法满足污染气体排放风险管理的现状，建立计及污染气体排放风险的多目标随机动态环境经济调度模型。考虑风电出力的随机性，给出环境经济调度污染气体排放风险评估指标的定义方法；借鉴经济学投资组合理论中半绝对离差风险的概念，建立环境经济调度污染气体排放风险评估指标；在多场景建模理论的框架内，建立计及污染气体排放风险的多目标随机动态环境经济调度模型。在利用后向场景削减技术对风电随机出力的大量场景进行削减后，采用内嵌目标相对占优的遗传算法求解模型。算例仿真验证了所提模型的有效性。 |
| 关键词: 环境经济调度 污染气体排放 评估指标 风险 风电 遗传算法 模型 |
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| 基金项目:国家自然科学基金资助项目（51177178） |
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| Multi-objective stochastic and dynamic model of environmental and economic dispatch considering gas pollution emission risk |
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WEN Xu1, WANG Junmei2, GUO Lin2, YAN Wei3
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1.State Grid Chongqing Electric Power Co. Electric Power Research Institute，Chongqing 401123，China;2.Power Exchange Center of State Grid Chongqing Power Grid，Chongqing 400014，China;3.State Key Laboratory of Power Transmission Equipment & System Security and New Technology，Chongqing University，Chongqing 400030，China
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| Abstract: |
| Because of the randomness of wind power，the existing environmental and economic dispatch model cannot deal with the risk management of gas pollution emission，for which，a dispatch model considering the risk of gas pollution emission is built. The method considering the randomness of wind power is given for defining the evaluation index of gas pollution emission risk；the risk evaluation index is established based on the semi-absolute deviation concept of the portfolio theory in economics；a multi-objective stochastic and dynamic model of environmental and economic dispatch considering gas pollution emission risk is built based on the multi-scenario modeling theory. The backward scenario reduction technique is adopted to reduce the great amount of random wind power scenarios and the genetic algorithm with the embedded object relative dominant method is used to solve the model. Case simulation verifies the effectiveness of the proposed model. |
| Key words: environmental and economic dispatch gas pollution emission evaluation index risks wind power genetic algorithms models |
