Multiobjective Generation Portfolio of Hybrid Energy Generating Station for Mobile Emergency Power Supplies

Abstract

This paper proposes a mixed generation portfolio model of hybrid energy generating station (HEGS) for standby emergency power supply (EPS). The HEGS functions as a mobile and transportable reserve power source for critical loads in case of electricity outages. In the proposed model, various renewable and non-renewable energy sources with different mobility, energy density and power density characteristics are integrated to form a sufficient and reliable hybrid energy EPS system, and the uncertainties of demand load, wind speed, solar radiation intensity, as well as solar cell temperature are modeled as interval numbers to formulate the optimal sizing problem of HEGS under uncertainty into a deterministic combinatorial optimization model. Furthermore, the multiobjective generation portfolio model of EPS configuration is also designed to generate Pareto frontier between implementation cost reduction and mobility improvement. Four generic evaluation metrics are formulated to evaluate the resulting generation-mix schemes of HEGS with case study demonstrated the effectiveness and superiority of the proposed model.

Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation

“…The scalability of RMPS and MG scheduled islanding has been demonstrated in [16]- [32], for a wide range of power systems aspects, including reliability and resilience improvement [20], [23]- [26], [28]- [30], as well as operational performance enhancement [16]- [19], [21]- [22], [32].…”

“…In [20] portable renewable energy resource (PRER) is considered as demand response in multi-objective and stochastic programming for EM in MGs. Energy reserves for critical loads supplying and secondary frequency regulation of isolated MG are respectively tackled in [21]- [22], using a multi-generation portfolio including mobile hybrid energy generating station (HEGS) and truck-mounted mobile emergency resources (MERs). The use of a mobile battery energy storage system (MBESS), based on experimental operation data and multi-state reliability model for distributed RES generation and demand, increases the system reliability during a failure in islanded MGs [23].…”

Electrical LeaderRank method for node importance evaluation of power grids considering uncertainties of renewable energy

“…where w I is an interval variable to represent the uncertainty of wind speed; w L and w U are the lower and upper bounds of wind speed interval. Based on the elementary operations of interval arithmetic [22], the linearized output power curves of wind turbine generation (WTG) in [18], [20] can be transformed into the interval model [23],…”

“…where P W I represents the interval WTG output; PWTG is the rated power capacity of the WTG; w0, wC, and wF are the rated wind speed, cut-in wind speed and cut-off wind speed of wind turbine, respectively. Also, the interval output power of a photovoltaic (PV) system can be expressed as follows [23], In order to analyze the cascading failure process and node importance considering the uncertainties of renewable energy sources, the interval DC-OPF model in [24], [25] is adopted in this study to calculate the interval power flow in each transmission line derived from the interval uncertainties of wind power P W I and solar power P P I . In the DC-OPF model, the adjustments on the outputs of generators and load shedding can be implemented to eliminate the transmission line or transformer overloads, and the optimi-zation objective is to minimize the total generation cost [8], as follows, [26].…”

Optimal Management of Mobile Energy Generation and Storage Systems

“…In [23], various methods are studied to improve the reliability of a distribution network integrated with MESS unit that consists of a set of battery modules. A hybrid energy generation unit was modeled in [24] to provide necessary power during emergency situations. Several other research papers have been conducted to study the optimized allocation of multiple mobile emergency generators based on the importance of the interrupted loads [25,26].…”