Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints
Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints
复制标题
DOI：
10.1109/access.2021.3103480
复制
发表时间：
2021-01-01
期刊：
影响因子：
3.9
通讯作者：
Flynn, David
中科院分区：
文献类型：
--
作者：
Norbu, Sonam;Couraud, Benoit;Flynn, David
能源服务分散化的趋势产生了社区能源系统。这些能源社区的目标是最大限度地提高当地可再生能源的自我消耗，这些能源通常连接到低压（LV）配电网络。能源社区计划往往涉及共同拥有的资产，如社区拥有的太阳能光伏板、风力涡轮机和/或共享电池储存。这就提出了如何实时控制这些资产的问题，以及如何在不同的社区成员之间公平地分享这些共同拥有的资产的能源输出。重要的是，这种实时控制和公平分享能源还必须考虑社区的技术限制，例如当地低压网络特性、电压限制以及电缆和变压器的额定功率。在本文中，我们设计和分析了一种基于神经网络的电池控制算法，考虑了电池寿命退化的影响，以及由此产生的本地可再生能源消耗在本地操作限制的LV网络内的增加。我们提供了一个模型，首先研究的技术经济效益的社区拥有与个人拥有的能源资产考虑网络/电网的限制。然后，运用合作博弈论的方法和原理，提出了一个基于农户边际贡献的社区利益再分配模型。从我们的研究结果表明，再分配机制是公平的，计算上易于处理的现有国家的最先进的方法相比。因此，我们的方法是更可扩展的建模社区能源系统中的联合资产的经济共享。
The trend of decentralization of energy services has given rise to community energy systems. These energy communities aim to maximize the self-consumption of local renewable energy generated and stored in assets that are typically connected to low-voltage (LV) distribution networks. Energy community schemes often involve jointly owned assets such as community-owned solar photo-voltaic panels (PVs), wind turbines and/or shared battery storage. This raises the question of how these assets should be controlled in real-time, and how the energy outputs from these jointly owned assets should be shared fairly among heterogeneous community members. Crucially, such real-time control and fair sharing of energy must also consider the technical constraints of the community, such as the local LV network characteristics, voltage limits and power ratings of electric cables and transformers. In this paper, we design and analyze a heuristic-based battery control algorithm that considers the influence of battery life degradation, and the resultant increase in local renewable energy consumption within local operating constraints of the LV network. We provide a model that first studies the techno-economic benefits of community-owned versus individually-owned energy assets considering the network/grid constraints. Then, using the methodology and principles from cooperative game theory, we propose a redistribution model for benefits in a community based on the marginal contribution of each household. The results from our study demonstrate that the redistribution mechanism is fairer and computationally tractable compared to the existing state-of-the-art methods. Thus, our methodology is more scalable with respect to modeling the economic sharing of joint assets in community energy systems.