Coordinate Optimization of the Distribution Network Electricity Price, Energy Storage Operation Strategy, and Capacity under a Shared Mechanism

Abstract

The large scale deployment of renewable generation is generally seen as the most promising option for displacing fossil fuel generators. A challenge in integrating renewable energy resources (RERs) for distribution networks is to find approaches that ensure the long term sustainability and economic profit of the Distribution Company (DisCo). In this paper, considering the air condition load demand side response, a coordinate optimization of the energy storage capacity and operation strategy is presented to maximize the economic profit of the DisCo. The operation strategy in the optimization is divided into two parts. Under the normal state, a price-based air condition quick response strategy is proposed, with both the comfort and economic efficiency of the users taken into account. Under the fault state, a sharing strategy of Generalized Demand Side Resources (GDSRs) is proposed to improve the utilization level of equipment based on the reliability insurance. Finally, the optimization is carried out on an improved IEEE-33 bus test system. The simulation results verify the effectiveness of the proposed method and discuss the effect of the load demand response participation rate on energy storage configuration. At the same time, the effect of GDSRs on the safe load rate of the line is also presented. The research provides a reference for the optimization and utilization of GDSRs.

Multistage Active Distribution Network Planning With Restricted Operation Scenario Selection

“…Nowadays, the contradiction between energy demand and environmental protection is increasingly prominent. With the coordinated operation of the various distributed flexible resources in the active distribution network (ADN), such as wind farm (WF) [1], photovoltaic (PV), micro grid (MG) [2], [3], energy storage system (ESS) [4], electric vehicle (EV) [5] and controllable loads (CL) [6], both the difference between peak and valley loads and the negative effect of high renewable distribution generation (DG) penetration are reduced, which delays the upgrading of feeders, substations and other equipment of distribution network and enhance flexibility of distribution network effectively [7]- [9].…”

“…In ADNP, a set of hypothetical operation scenarios are formed based on the historical data or forecasting data. The distribution network is optimally operated under each scenario by solving (4)- (9). The marginal benefit ψ s,n corresponding to the candidate resources is determined by (10), and then a set α p containing the most restricted operation scenarios is achieved by solving (2)-(3).…”

Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks

“…There are rich renewable energy resources in China offshore. In recent years, the percentage of penetration in renewable energy in distribution networks has increased dramatically [1][2][3]. Power output of renewable energy generation (REG) like wind turbine (WT) generators and photo voltaic (PV) arrays have high randomness and fluctuation attributes.…”