Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market

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 operationplanning 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.

Cost optimization of electricity in energy storage system by dynamic programming

“…The ( 2) is neither linear nor quadratic due to the existence of the indicator function, which only produces 0 or 1. The objective function is also non-convex, making it challenging to compute gradients [26], [27]. As a result, standard linear or quadratic programming Int J Appl Power Eng ISSN: 2252-8792 …”

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

“…The results show that the above method can effectively reduce investment costs with a small power loss. In [24], PSO is used to minimize the combined cost of the electricity market, and it is reasonable and effective in a two-tier simulation model. The stochastic optimization approach is used in [25] to establish a tri-objective residential smart electrical distribution grid, and the model is solved using the epsilon-constraint method.…”

“…The unit constraints mainly restrict the output and capacity of devices, which can be described as, 0 < P in Bat < P pv + P wind + P load (20) 0 < P ele < P out Bat (21) 0 < P ele < P pv + P wind + P load (22) 0 < η t n H2 < Q max (23) 0 < P FC < Q max H HHV η FC (24) where P in Bat is the charging power of the battery. P out Bat is the discharge power of the battery.…”

Long Duration Flexibility Planning Challenges and Solutions for Power System With Ultra High Share of Renewable Energy

“…It proposed a random day-ahead scheduling model with flexible resource selection. Literature [70] analyzed the supply and demand relationship of distribution network flexibility. It proposed a two-layer optimal allocation model for flexible resources.…”