Optimisation Models and Methods in Energy Systems

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: History of engineering and technology; building microgrid; combined heat and power; component outage; demand side management; domino effect; electric-power structure adjustment; electrical distribution systems; energy conservation and emissions reduction; energy network; energy system management model; feasible operation region; firefighting; flexibility option; fuzzy set theory; generation efficiency; generation expansion planning; graph theory; heating ventilation and air-conditioning (HVAC); influence diagram; integrated energy system; intermittent sources; islanded microgrids; life cycle cost; long-term forecasting; Markov chain Monte Carlo; meshed topology; microgrid operation; mixed integer linear programing; mixed integer linear programming; multi-criteria decision making (MCDM); multi-objective optimization; net demand; nondominated sorting genetic algorithm (NSGA); occupancy-based control; oil storage plants; optimal power generation mix; optimization; portfolio analysis; predicted mean vote (PMV); re-optimization and rescheduling; scenario-based multistage stochastic programming; semi-mean-absolute deviation model; stochastic programming; stochastic robust optimization; technique for the order of preference by similarity to the ideal solution (TOPSIS); variable renewable power; wind power forecasting
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (192 p.)
• ISBN: 9783039211180; 9783039211197; books978-3-03921-119-7
• Access: Open Access

Challenging problems arise in all segments of energy industries-generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.