Secure Planning and Operations of Systems With Stochastic Sources, Energy Storage, and Active Demand
作者： Carlos E. Murillo-Sanchez , Ray D. Zimmerman , C. Lindsay Anderson , Robert J. Thomas
关键词: Mathematical optimization 、 Time horizon 、 Economics 、 Energy consumption 、 Electricity 、 Stand-alone power system 、 Stochastic optimization 、 Real-time computing 、 Base load power plant 、 Schedule 、 Power system simulation
摘要: This work presents a stochastic optimization framework for operations and planning of an electricity network as managed by Independent System Operator. The objective is to maximize the total expected net benefits over horizon, incorporating costs consumption, generation, ancillary services, load-shedding, storage load-shifting. overall could be characterized secure, stochastic, combined unit commitment AC optimal power flow problem, solving state-dependent schedule pre-specified time horizon. Uncertainty modeled expose scenarios that are critical maintaining system security, while properly representing cost. amount locational reserves needed cover credible set contingencies in each period determined, well load-following required ramping between periods. models centrally-dispatched time-flexible demands allow tradeoffs arbitraging across time, mitigating uncertainty covering contingencies. paper details proposed problem formulation outlines potential approaches it. An implementation based on DC model solves systems modest size can used demonstrate value framework.
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