智能电网中大规模电动汽车(plug-in hybrid electricvehicle,PHEV)和可再生能源(renewable energy resource,RES)发电的接入,使得电网由传统的自上而下的集中控制转变为分布式控制,潮流也从单一流动转变为双向流动,直接影响传统发电机...智能电网中大规模电动汽车(plug-in hybrid electricvehicle,PHEV)和可再生能源(renewable energy resource,RES)发电的接入,使得电网由传统的自上而下的集中控制转变为分布式控制,潮流也从单一流动转变为双向流动,直接影响传统发电机组的功率输出。电动汽车能够向电网提供辅助服务(vehicle to grid,V2G),改变了传统经济调度单一的发电商利益模式。车主充电行为的随机性和可再生能源发电的间歇性也加大了对电网调节能力的要求。为此文章构建了基于智能电网的动态经济调度模型,该模型包含电动汽车和可再生能源发电,以发电成本(含电动汽车入网服务成本)和车主充电成本最低、环境污染最小和等效负荷率最高为优化目标,在满足用电需求的前提下,动态调节电动汽车充放电时间和功率,匹配负荷和可再生能源发电波动。最后以10机组系统为例对该模型进行了分析,证明了所提模型的合理性和有效性。展开更多
Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within ...Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units, which produce either heat or power exclusively. Hence, the economic dispatch problem for these plants to optimize the fuel cost is quite complex and several classical and meta-heuristic algo- rithms have been proposed earlier. This paper applies the firefly algorithm, which is inspired by the behavior of fireflies which attract each other based on their luminosity. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over the earlier methods.展开更多
Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a ...Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units which produce either heat or power exclusively. Hence the economic dispatch problem for these plants optimizing the fuel cost is quite complex and several classical and meta-heuristic algo- rithms have been proposed earlier. This paper applies the invasive weed optimization algorithm which is inspired by the ecological process of weed colonization and distribu- tion. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over earlier ones.展开更多
文摘智能电网中大规模电动汽车(plug-in hybrid electricvehicle,PHEV)和可再生能源(renewable energy resource,RES)发电的接入,使得电网由传统的自上而下的集中控制转变为分布式控制,潮流也从单一流动转变为双向流动,直接影响传统发电机组的功率输出。电动汽车能够向电网提供辅助服务(vehicle to grid,V2G),改变了传统经济调度单一的发电商利益模式。车主充电行为的随机性和可再生能源发电的间歇性也加大了对电网调节能力的要求。为此文章构建了基于智能电网的动态经济调度模型,该模型包含电动汽车和可再生能源发电,以发电成本(含电动汽车入网服务成本)和车主充电成本最低、环境污染最小和等效负荷率最高为优化目标,在满足用电需求的前提下,动态调节电动汽车充放电时间和功率,匹配负荷和可再生能源发电波动。最后以10机组系统为例对该模型进行了分析,证明了所提模型的合理性和有效性。
文摘Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units, which produce either heat or power exclusively. Hence, the economic dispatch problem for these plants to optimize the fuel cost is quite complex and several classical and meta-heuristic algo- rithms have been proposed earlier. This paper applies the firefly algorithm, which is inspired by the behavior of fireflies which attract each other based on their luminosity. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over the earlier methods.
文摘Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units which produce either heat or power exclusively. Hence the economic dispatch problem for these plants optimizing the fuel cost is quite complex and several classical and meta-heuristic algo- rithms have been proposed earlier. This paper applies the invasive weed optimization algorithm which is inspired by the ecological process of weed colonization and distribu- tion. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over earlier ones.
