Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration

Abstract

in scenario s, otherwise set to 0. P t,s G,i , Q t,s G,i Real/reactive power generation at bus i in interval t in scenario s. P t,s r,i , Q t,s r,i Load restoration at bus i in interval t in scenario s. P t,s ij , Q t,s ij Real/reactive power of branch (i, j) in scenario s. v t,s i Voltage magnitude at bus i in interval t in scenario s. P t,s G,m , Q t,s G,m Aggregated active/reactive power in microgrid m in scenario s. P t,s DG,m , Q t,s DG,m Active/reactive power generation of equivalent dispatchable DG in microgrid m in scenario s. P t,s d,m and Q t,s d,m Active/reactive load in microgrid m in scenario s. E t,s DG,m Energy of equivalent dispatchable DG by the end of interval t in scenario s.

A Mixed CVaR-Based Stochastic Information Gap Approach for Building Optimal Offering Strategies of a CSP Plant in Electricity Markets

“…Once the DA market is cleared, the CSP plant also has the opportunity to offer in the RT market, which is decided in the second-stage. In order to mitigate the prediction errors and consider the latest predictions and future possible conditions, the CSP plant in the RT market determines the offering strategy in a rolling horizon manner, also known as model predictive control [27], [28], i.e., in each operating hour h the second-stage model is optimized with a looking ahead horizon |T |-h + 1 based on the updated latest information by hour h-1, but only the offering strategy in operating hour h is actually implemented; then in h + 1 the second-stage model is solved again with a looking ahead horizon |T |-h and only the offering strategy in h + 1 is implemented [29].…”

Multi-energy Management of Maritime Grids

“…Study the energy management methods for heat-power systems [16,17]. Study the water-power systems and [18][19][20][21][22] investigate the coupling between the transportation system and power system by electric vehicles' charging and discharging. The above research has brought a new perspective in energy system analysis, particularly in the light of reducing the economic and environmental burden of energy services.…”

Holistic management of mobile energy storage resources in coupled power and transportation systems

“…Introduction cilities including ultra-fast chargers of which the power rate can reach up to a few megawatts [6], [14], MESSs, as an emerging type of mobile energy resource, are also attracting increasing attentions in recent years. While most of the literatures mainly focus on utilizing MESSs as emergency mobile resources to enhance the power system resilience in response to extreme events such as hurricanes and earthquakes [15]- [17], [30]- [32], only a few publications consider adopting MESSs in normal operations. Meanwhile, in recent years, a hybrid AC/DC microgrid (MG) structure was proposed and has shown its potential in various applications to achieve higher operational efficiency and better integration of variable renewable energy (VRE) sources.…”

“…Reference [17] proposes a multi-layer TSN model to further facilitate the routing and scheduling of multiple MESSs with different mobility and specifications.…”

“…Meanwhile, with the development of energy storage and power electronics technologies, as well as the increasing installation of charging/discharging facilities including ultra-fast chargers of which the power rate can reach up to a few megawatts [6], [14], the emerging MESSs can also bring significant benefits to power systems both in response to extreme events [15]- [17] or under normal conditions [18]- [20]. MESSs are generally utility-scale battery energy storage banks mounted on trucks, owned and fully controlled by the utility company [17], Chapter 1. Introduction [20].…”