市场模式下兼顾区域负荷特性的多虚拟电厂分布式协调优化

随着虚拟电厂（VPP）商业模式逐渐成熟必然出现区域内多个VPP并存的情况。对于区域内多个VPP并存且参与日前-实时市场的场景，引入VPP间直接交易机制，以分散式控制结构组织多VPP之间的合作与竞争。为了在满足提升多VPP收益的同时兼顾区域负荷特性的目标，基于交替方向乘子分布式优化框架提出了考虑区域负荷特性的两阶段多VPP分布式协调优化模型，以保证信息的隐私性和安全性。算例设置区域内存在3个VPP的场景验证了所提模型通过分布式优化框架在保护各VPP内部隐私信息的前提下对多VPP收益和区域负荷特性的优化作用。

Distributed coordination optimization of multiple virtual power plants considering regional load characteristics in market

With the gradual maturity of the virtual power plant(VPP) business model, multiple VPPs in the region will inevitably coexist. For scenarios where multiple VPPs coexist in the region and jointly participate in the day-ahead real-time market, a direct transaction mechanism among VPPs is introduced to organize cooperation and competition among multiple VPPs with a decentralized control structure. In order to meet the goal of improving the multi-VPP benefits while taking into account the regional load characteristics, a two-stage multi-VPP distributed coordination optimization model considering the regional load characteristics is proposed based on the distributed optimization framework with alternating direction method of multipliers, so as to ensure the privacy and security of information. The case where there are three VPPs in the setting area of the example verifies that the proposed model can optimize the multi-VPP revenue and regional load characteristics under the premise of protecting the internal privacy information of each VPP through the distributed optimization framework.