Optimal Operation of Energy Storage with Random Renewable Generation and AC/DC Loads
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AbstractWe study the optimal operation of energy storage owned by a consumer who has intermittent renewable generation and faces time-varying (random) electricity prices and different types of ac/dc loads. We formulate the optimal storage operation problem as a finite-horizon dynamic program, with an objective of minimizing the expected energy cost. The incorporation of different types of ac/dc energy sources and appliances complicates the sequential decision making problem on storage operation. We provide a complete characterization on an optimal threshold policy, and implement the characterized optimal policy in realistic settings with random renewable generation and electricity prices. Numerical results demonstrate that the optimal dynamic programming (DP) solution saves 5%–12% of the total cost resulting from conventional DP solutions (that ignore the difference in ac/dc conversion efficiencies). Further, the value of storage (the consumer’s net benefit obtained by optimally operating the storage) increases with renewable generation. For example, as the (average) solar generation increases from 40% to 100% of the average (total) demand, the value of a 32 kWh (80 kWh) storage increases from 2.0% to 5.4% (7.2% to 14.9%, respectively) of the maximum energy cost.
All Author(s) ListJiangliang Jin, Yunjian Xu, Yawar Khalid, Naveed Ul Hassan
Journal nameIEEE Transactions on Smart Grid
Year2018
Month5
Volume Number9
Issue Number3
Pages2314 - 2326
ISSN1949-3053
eISSN1949-3061
LanguagesEnglish-United States

Last updated on 2020-18-10 at 02:54