Abstract
Due to the random volatility, a large amount of renewable energy will bring challenges to the security and stability of distribution network. Comprehensive consideration of system economics, security and flexibility has become the focus of research on distribution network optimization planning under the new situation. For the flexible resource allocation problem of distribution network, this paper analyzes the supply and demand relationship of the flexibility of the distribution network, and establishes a bi-level operation-planning joint optimization model for flexible resources. In the operational layer, we not only introduce the insufficient flexibility rate as the evaluation index of system flexibility, but also introduce the network loss, the abandoned wind and solar energy in the economic penalty, aiming at optimizing the annual operating cost of the system. In the planning layer, we evaluate the system security by introducing the comprehensive security index of the system, aiming at optimizing the annual comprehensive cost of the system. In addition, this paper also considers the third-party companies' investment in energy storage system in the electricity market, and further analyses the impact of energy storage operation strategies under different investors on flexible resource allocation. In this paper, the particle swarm optimization algorithm is used to solve the bi-level allocation model. Finally, the IEEE 33-bus test system is used for verification and analysis of the case. The results verify the validity and rationality of the proposed bi-level allocation model.
Highlights
In recent years, with the transformation of energy policy, China is vigorously promoting the replacement of traditional fossil energy with clean renewable energy to promote the sustainable development of mankind and society
The power system has ushered in a new energy revolution, and Distributed Renewable Energy (DRE) represented by Wind Turbine (WT) /Photovoltaic power generator (PV) is widely used on the distribution network side
We analyze the relationship between the flexibilitydemand and flexibility-supply in distribution network with a high proportion of DRE, and propose three flexible resources: Energy Storage System (ESS), Micro gas Turbine (MT) and Demand Response load (DR), which provide a theoretical basis for the study of flexibility issues in distribution network
Summary
With the transformation of energy policy, China is vigorously promoting the replacement of traditional fossil energy with clean renewable energy to promote the sustainable development of mankind and society. In [16], a fuzzy multi-objective bi-level optimization problem is proposed to model the planning of ESS in active distribution systems, and the model considers the time-varying nature of DRE and load in typical daily scenarios. This paper proposes a bi-level optimal allocation model of flexible resources for distribution networks with different ESS operation strategies in the electricity market. We analyze the relationship between the flexibilitydemand and flexibility-supply in distribution network with a high proportion of DRE, and propose three flexible resources: Energy Storage System (ESS), Micro gas Turbine (MT) and Demand Response load (DR), which provide a theoretical basis for the study of flexibility issues in distribution network. We comprehensively consider the economy, security and flexibility in distribution network planning, and innovatively proposed a bi-level operation-planning joint optimization model for flexible resources, which can realize flexible resource optimization allocation of distribution network with a high proportion of DRE. The flexibility includes the flexibility-demand and the flexibility-supply [31]
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