基于多代理的电量交易模拟仿真
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摘要
随着我国电力市场改革的进一步发展,我国电力资源分布不均、以及经济发展差异导致的电力供需差异,通过大范围的电力交易实现电力资源的优化配置已经有了很大的改善。本文在中长期电量交易的撮合交易方式下,进行电力资源的优化配置以及社会效益最大化。本文采用多代理技术建立电量交易模型进行交易的市场成员数据申报,以及交易进行模拟出清。通过算例验证,证明本文的模拟手段,能够实现引导并优化电量交易规则的设计,实现大范围的电量交易的优化配置以及社会效益最大化的目标。
With the further development of China’s electricity market reform, the uneven distribution of power resources and the difference of power supply and demand caused by economic development, the optimal allocation of power resources through a wide range of power transactions has been greatly improved. This paper optimizes the allocation of power resources and maximizes social benefits under the matching transaction mode of medium and long-term electricity trading. This paper uses multi-agent technology to establish electricity trading model to declare the data of market members and simulate the clearing of transactions. Examples show that the simulation method in this paper can guide and optimize the design of electricity trading rules, and achieve the goal of optimizing the allocation of large-scale electricity trading and maximizing social benefits.
With the further development of China’s electricity market reform, the uneven distribution of power resources and the difference of power supply and demand caused by economic development, the optimal allocation of power resources through a wide range of power transactions has been greatly improved. This paper optimizes the allocation of power resources and maximizes social benefits under the matching transaction mode of medium and long-term electricity trading. This paper uses multi-agent technology to establish electricity trading model to declare the data of market members and simulate the clearing of transactions. Examples show that the simulation method in this paper can guide and optimize the design of electricity trading rules, and achieve the goal of optimizing the allocation of large-scale electricity trading and maximizing social benefits.
引文
[1]尚金成.跨区跨省电力交易机制与风险控制策略[J].电力系统自动化,2010,34(19):53-58,63.
[2]王楠,张粒子,王军,等.跨省跨区交易穿越线损补偿方法[J].电网技术,2011,35(12):171-176.
[3]张粒子,王睿,金允剑,等.基于跨省发电权交易的“疆电外送”交易模式研究[J].电力系统保护与控制,2012,40(5):69-74,79.
[4]刘瑞丰,刘维刚,张雯,等.基于配额制的西北可再生能源跨区跨省电力交易经济性评价[J].电网与清洁能源,2014,30(1):59-63.
[5]程海花,郑亚先,耿建,等.基于拓展网络流方法的跨区跨省交易路径优化[J].电力系统自动化,2016,40(9):129-134.
[6]王野平,杨彦,荆朝霞,等.智能代理模拟在电力市场中的运用[J].华南理工大学学报:自然科学版,2010,38(3):109-113,122.
[2]王楠,张粒子,王军,等.跨省跨区交易穿越线损补偿方法[J].电网技术,2011,35(12):171-176.
[3]张粒子,王睿,金允剑,等.基于跨省发电权交易的“疆电外送”交易模式研究[J].电力系统保护与控制,2012,40(5):69-74,79.
[4]刘瑞丰,刘维刚,张雯,等.基于配额制的西北可再生能源跨区跨省电力交易经济性评价[J].电网与清洁能源,2014,30(1):59-63.
[5]程海花,郑亚先,耿建,等.基于拓展网络流方法的跨区跨省交易路径优化[J].电力系统自动化,2016,40(9):129-134.
[6]王野平,杨彦,荆朝霞,等.智能代理模拟在电力市场中的运用[J].华南理工大学学报:自然科学版,2010,38(3):109-113,122.